diff --git a/website/docs/community/spotlight/alison-stanton.md b/website/docs/community/spotlight/alison-stanton.md
new file mode 100644
index 00000000000..ffa5e8499c7
--- /dev/null
+++ b/website/docs/community/spotlight/alison-stanton.md
@@ -0,0 +1,84 @@
+---
+id: alison-stanton
+title: Alison Stanton
+description: |
+ I started programming 20+ years ago. I moved from web applications into transforming data and business intelligence reporting because it's both hard and useful. The majority of my career has been engineering for SaaS companies. For my last few positions I've been brought in to transition larger, older companies to a modern data platform and ways of thinking.
+
+ I am dbt Certified. I attend Coalesce and other dbt events virtually. I speak up in dbt Slack and on the dbt-core, dbt-redshift, and dbt-sqlserver repositories. dbt Slack is my happy place, especially #advice-for-dbt-power-users. I care a lot about the dbt documentation and dbt doc.
+image: /img/community/spotlight/alison.jpg
+pronouns: she/her
+location: Chicago, IL, USA
+jobTitle: AVP, Analytics Engineering Lead
+organization: Advocates for SOGIE Data Collection
+socialLinks:
+ - name: LinkedIn
+ link: https://www.linkedin.com/in/alisonstanton/
+ - name: Github
+ link: https://github.com/alison985/
+dateCreated: 2023-11-07
+hide_table_of_contents: true
+---
+
+## When did you join the dbt community and in what way has it impacted your career?
+
+I joined the dbt community when I joined an employer in mid-2020. To summarize the important things that dbt has given me: it allowed me to focus on the next set of data challenges instead of staying in toil. Data folks joke that we're plumbers, but we're digital plumbers and that distinction should enable us to be DRY. That means not only writing DRY code like dbt allows, but also having tooling automation to DRY up repetitive tasks like dbt provides.
+
+dbt's existence flipped the experience of data testing on it's head for me. I went from a)years of instigating tech discussions on how to systematize data quality checks and b) building my own SQL tests and design patterns, to having built-in mechanisms for data testing.
+
+dbt and the dbt community materials are assets I can use in order to provide validation for things I have, do, and will say about data. Having outside voices to point to when requesting investment in data up-front - to avoid problems later - is an under-appreciated tool for data leader's toolboxes.
+
+dbt's community has given me access to both a) high-quality, seasoned SMEs in my field to learn from and b) newer folks I can help. Both are gifts that I cherish.
+
+## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
+
+I want to be when I grow up:
+
+MJ, who was the first person to ever say "data build tool" to me. If I'd listened to her then I could have been part of the dbt community years sooner.
+
+Christine Dixon who presented "Could You Defend Your Data in Court?" at Coalesce 2023. In your entire data career, that is the most important piece of education you'll get.
+
+The dbt community team in general. Hands-down the most important work they do is the dbt Slack community, which gives me and others the accessibility we need to participate. Gwen Windflower (Winnie) for her extraordinary ability to bridge technical nuance with business needs on-the-fly. Dave Connors for being the first voice for "a node is a node is a node". Joel Labes for creating the ability to emoji-react with :sparkles: to post to the #best-of-slack channel. And so on. The decision to foster a space for data instead of just for their product because that enhances their product. The extremely impressive ability to maintain a problem-solving-is-cool, participate-as-you-can, chorus-of-voices, international, not-only-cis-men, and we're-all-in-this-together community.
+
+Other (all?) dbt labs employees who engage with the community, instead of having a false separation with it - like most software companies. Welcoming feedback, listening to it, and actioning or filtering it out (ex. Mirna Wong, account reps). Thinking holistically about the eco-system not just one feature at a time (ex. Anders). Responsiveness and ability to translate diverse items into technical clarity and focused actions (ex. Doug Beatty, the dbt support team). I've been in software and open source and online communities for a long time - these are rare things we should not take for granted.
+
+Josh Devlin for prolificness that demonstrates expertise and dedication to helping.
+
+The maintainers of dbt packages like dbt-utils, dbt-expectations, dbt-date, etc.
+
+Everyone who gets over their fear to ask a question, propose an answer that may not work, or otherwise take a risk by sharing their voice.
+
+I hope I can support my employer and my professional development and my dbt community through the following:
+-Elevate dbt understanding of and support for Enterprise-size company use cases through dialogue, requests, and examples.
+-Emphasize rigor with defensive coding and comprehensive testing practices.
+-Improve the onboarding and up-skilling of dbt engineers through feedback and edits on docs.getdbt.com.
+-Contribute to the maintenance of a collaborative and helpful dbt community as the number of dbt practitioners reaches various growth stages and tipping points.
+-Engage in dialogue. Providing feedback. Champion developer experience as a priority. Be a good open source citizen on Github.
+
+## What have you learned from community members? What do you hope others can learn from you?
+
+I have learned:
+
+Details on DAG sequencing.
+How to make an engineering proposal a community conversation.
+The dbt semantic layer
+.
+So many things that are now so engrained in me that I can't remember not knowing them.
+
+I can teach and share about:
+
+Naming new concepts and how to choose those names.
+Reproducibility, reconciliation, and audits.
+Data ethics.
+Demographic questions for sexual orientation and/or gender identity on a form. I'm happy to be your shortcut to the most complicated data and most-engrained tech debt in history.
+I also geek out talking about: reusing functionality in creative ways, balancing trade-offs in data schema modeling, dealing with all of an organization's data holistically, tracking instrumentation, and philosophy on prioritization.
+
+The next things on my agenda to learn about:
+
+Successes and failures in data literacy work. The best I've found so far is 1:1 interactions and that doesn't scale.
+How to reduce the amount of time running dbt test takes while maintaining coverage.
+Data ethics.
+The things you think are most important by giving them a :sparkles: emoji reaction in Slack.
+
+## Anything else interesting you want to tell us?
+
+My gratitude to each community member for this community.
diff --git a/website/docs/community/spotlight/bruno-de-lima.md b/website/docs/community/spotlight/bruno-de-lima.md
index 7f40f66859c..0365ee6c6a8 100644
--- a/website/docs/community/spotlight/bruno-de-lima.md
+++ b/website/docs/community/spotlight/bruno-de-lima.md
@@ -2,11 +2,11 @@
id: bruno-de-lima
title: Bruno de Lima
description: |
- I am an Analytics Engineer and aspiring tech writer coming from an academic engineering background.
+ Hi all! I'm a Data Engineer, deeply fascinated by the awesomeness dbt. I love talking about dbt, creating content from daily tips to blogposts and engaging with this vibrant community!
- I worked at Indicium as an Analytics Engineer for more than a year, having worked with dbt (of course, every day) for transformation; BigQuery, Snowflake, and Databricks as data warehouses; Power BI and Tableau for BI; and Airflow for orchestration.
+ Started my career at the beginning of 2022 at Indicium as an Analytics Engineer, working with dbt from day 1. By 2023, my path took a global trajectory as I joined phData as a Data Engineer, expanding my experiences and forging connections beyond Brazil. While dbt is at the heart of my expertise, I've also delved into data warehouses such as Snowflake, Databricks, and BigQuery; visualization tools like Power BI and Tableau; and several minor modern data stack tools.
- I actively participate in the dbt community, having attended two dbt meetups in Brazil organized by Indicium; writing about dbt-related topics in my Medium and LinkedIn profiles; contributing to the code; and frequently checking dbt Slack and Discourse, helping (and being helped by) other dbt practitioners. If you are a community member, you may have seen me around!
+ I actively participate in the dbt community, having attended two dbt Meetups in Brazil organized by Indicium; writing about dbt-related topics in my Medium and LinkedIn profiles; contributing to the code; and frequently checking dbt Slack and Discourse, helping (and being helped by) other dbt practitioners. If you are a community member, you may have seen me around!
image: /img/community/spotlight/bruno-de-lima.jpg
pronouns: he/him
location: Florianópolis, Brazil
@@ -18,7 +18,7 @@ socialLinks:
link: https://www.linkedin.com/in/brunoszdl/
- name: Medium
link: https://medium.com/@bruno.szdl
-dateCreated: 2023-03-28
+dateCreated: 2023-11-05
hide_table_of_contents: true
---
@@ -30,7 +30,7 @@ It took me some time to become an active member of the dbt community. I started
Inspired by other members, especially Josh Devlin and Owen Prough, I began answering questions on Slack and Discourse. For questions I couldn't answer, I would try engaging in discussions about possible solutions or provide useful links. I also started posting dbt tips on LinkedIn to help practitioners learn about new features or to refresh their memories about existing ones.
-By being more involved in the community, I felt more connected and supported. I received help from other members, and now, I could help others, too. I was happy with this arrangement, but more unexpected surprises came my way. My active participation in Slack, discourse, and LinkedIn opened doors to new connections and career opportunities. I had the pleasure of meeting a lot of incredible people and receiving exciting job offers.
+By being more involved in the community, I felt more connected and supported. I received help from other members, and now, I could help others, too. I was happy with this arrangement, but more unexpected surprises came my way. My active participation in Slack, Discourse, and LinkedIn opened doors to new connections and career opportunities. I had the pleasure of meeting a lot of incredible people and receiving exciting job offers, including the one for working at phData.
Thanks to the dbt community, I went from feeling uncertain about my career prospects to having a solid career and being surrounded by incredible people.
diff --git a/website/docs/community/spotlight/dakota-kelley.md b/website/docs/community/spotlight/dakota-kelley.md
new file mode 100644
index 00000000000..57834d9cdff
--- /dev/null
+++ b/website/docs/community/spotlight/dakota-kelley.md
@@ -0,0 +1,30 @@
+---
+id: dakota-kelley
+title: Dakota Kelley
+description: |
+ For the last ~2 years I've worked at phData. Before that I spent 8 years working as a Software Developer in the public sector. Currently I'm a Solution Architect, helping our customers and clients implement dbt on Snowflake, working across multiple cloud providers.
+
+ I first started reading about dbt when I was in grad school about 3 years ago. When I began with phData I had a fantastic opportunity to work with dbt. From there I feel in love with the Engineering practices and structure that I always felt were missing from Data Work. Since then, I've been fortunate enough to speak at Coalesce 2022 and at Coalesce 2023. On top of this, I've written numerous blogs about dbt as well.
+image: /img/community/spotlight/dakota.jpg
+pronouns: he/him
+location: Edmond, USA
+jobTitle: Solution Architect
+companyName: phData
+socialLinks:
+ - name: LinkedIn
+ link: https://www.linkedin.com/in/dakota-kelley/
+dateCreated: 2023-11-08
+hide_table_of_contents: true
+---
+
+## When did you join the dbt community and in what way has it impacted your career?
+
+I joined the dbt Community not too long after my first working experience. One of my passions is giving back and helping others, and being a part of the community allows me to help others with problems I've tackled before. Along the way it helps me learn new ways and see different methods to solve a wide variety of problems. Every time I interact with the community I've learned something new and that energizes me.
+
+## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
+
+This is a tough one. I know there are several, but the main qualities I resonate with are from those who dig in and help each other. There are always nuances to others situations, and it's good to dig in together, understand those, and seek a solution. The other quality I look for is someone who is trying to pull others up with them. At the end of the day we should all be striving to make all things better than they were when we arrived, regardless if that's the dbt Community or the local park we visit for rest and relaxation.
+
+## What have you learned from community members? What do you hope others can learn from you?
+
+The thing I hope others take away from me, is to genuinely support others and tackle problems with curiosity. There used to be a time where I was always worried about being wrong, so I wouldn't get too involved. It's okay to be wrong, that's how we learn new ways to handle problems and find new ways to grow. We just all have to be open to learning and trying our best to help and support each other.
diff --git a/website/docs/community/spotlight/fabiyi-opeyemi.md b/website/docs/community/spotlight/fabiyi-opeyemi.md
index f26ee27910b..f67ff4aaefc 100644
--- a/website/docs/community/spotlight/fabiyi-opeyemi.md
+++ b/website/docs/community/spotlight/fabiyi-opeyemi.md
@@ -2,9 +2,9 @@
id: fabiyi-opeyemi
title: Opeyemi Fabiyi
description: |
- I'm an Analytics Engineer with Data Culture, a Data Consulting firm where I use dbt regularly to help clients build quality-tested data assets. I've also got a background in financial services and supply chain. I'm passionate about helping organizations to become data-driven and I majorly use dbt for data modeling, while the other aspect of the stack is largely dependent on the client infrastructure I'm working for, so I often say I'm tool-agnostic. 😀
+ I'm an Analytics Engineer with Data Culture, a Data Consulting firm where I use dbt regularly to help clients build quality-tested data assets. I've also got a background in financial services and supply chain. I'm passionate about helping organizations to become data-driven and I majorly use dbt for data modeling, while the other aspect of the stack is largely dependent on the client infrastructure I'm working for, so I often say I'm tool-agnostic. 😀
- I'm the founder of Nigeria's Young Data Professional Community. I'm also the organizer of the Lagos dbt Meetup which I started, and one of the organizers of the DataFest Africa Conference. I became an active member of the dbt Community in 2021 & spoke at Coalesce 2022.
+ I'm the founder of Nigeria's Young Data Professional Community. I'm also the organizer of the Lagos dbt Meetup which I started, and one of the organizers of the DataFest Africa Conference. I became an active member of the dbt Community in 2021 & spoke at Coalesce 2022.
image: /img/community/spotlight/fabiyi-opeyemi.jpg
pronouns: he/him
location: Lagos, Nigeria
@@ -16,7 +16,7 @@ socialLinks:
link: https://twitter.com/Opiano_1
- name: LinkedIn
link: https://www.linkedin.com/in/opeyemifabiyi/
-dateCreated: 2023-07-02
+dateCreated: 2023-11-06
hide_table_of_contents: true
---
diff --git a/website/docs/community/spotlight/josh-devlin.md b/website/docs/community/spotlight/josh-devlin.md
index 1a1db622209..d8a9b91c282 100644
--- a/website/docs/community/spotlight/josh-devlin.md
+++ b/website/docs/community/spotlight/josh-devlin.md
@@ -2,23 +2,26 @@
id: josh-devlin
title: Josh Devlin
description: |
- After "discovering" dbt in early 2020, I joined the community and used it as a learning tool while I tried to get dbt introduced at my company. By helping others, I learned about common pitfalls, best practices, and the breadth of the tool. When it came time to implement it months later, I already felt like an expert!
+ Josh Devlin has a rich history of community involvement and technical expertise in both the dbt and wider analytics communities.
- In December 2020 I attended the first virtual Coalesce conference, attending all 4 days across 3 time zones! I found my quirky-nerdy-purple-people, and felt at home.
+ Discovering dbt in early 2020, he quickly became an integral member of its community, leveraging the platform as a learning tool and aiding others along their dbt journey. Josh has helped thousands of dbt users with his advice and near-encyclopaedic knowledge of dbt.
- 3 years later I had the pleasure of presenting at my first dbt Meetup in Sydney, and then at the first in-person Coalesce in New Orleans. My passion is helping people, and I'm glad that the dbt community gives me a place to do that!
+ Beyond the online community, he transitioned from being an attendee at the first virtual Coalesce conference in December 2020 to a presenter at the first in-person Coalesce event in New Orleans in 2022. He has also contributed to the dbt-core and dbt-snowflake codebases, helping improve the product in the most direct way.
+
+ His continuous contributions echo his philosophy of learning through teaching, a principle that has not only enriched the dbt community but also significantly bolstered his proficiency with the tool, making him a valuable community member.
+
+ Aside from his technical endeavors, Josh carries a heart for communal growth and an individual's ability to contribute to a larger whole, a trait mirrored in his earlier pursuits as an orchestral musician. His story is a blend of technical acumen, communal involvement, and a nuanced appreciation for the symbiotic relationship between teaching and learning, making him a notable figure in the analytics engineering space.
image: /img/community/spotlight/josh-devlin.jpg
pronouns: he/him
location: Melbourne, Australia (but spent most of the last decade in Houston, USA)
jobTitle: Senior Analytics Engineer
companyName: Canva
-organization: ""
socialLinks:
- name: Twitter
link: https://twitter.com/JayPeeDevlin
- name: LinkedIn
link: https://www.linkedin.com/in/josh-devlin/
-dateCreated: 2023-06-27
+dateCreated: 2023-11-10
hide_table_of_contents: true
---
diff --git a/website/docs/community/spotlight/karen-hsieh.md b/website/docs/community/spotlight/karen-hsieh.md
index 1a5cc8c4788..5147f39ce59 100644
--- a/website/docs/community/spotlight/karen-hsieh.md
+++ b/website/docs/community/spotlight/karen-hsieh.md
@@ -12,7 +12,7 @@ description: |
image: /img/community/spotlight/karen-hsieh.jpg
pronouns: she/her
location: Taipei, Taiwan
-jobTitle: Director of Product & Data
+jobTitle: Director of Tech & Data
companyName: ALPHA Camp
organization: ""
socialLinks:
@@ -22,7 +22,7 @@ socialLinks:
link: https://www.linkedin.com/in/karenhsieh/
- name: Medium
link: https://medium.com/@ijacwei
-dateCreated: 2023-03-24
+dateCreated: 2023-11-04
hide_table_of_contents: true
---
diff --git a/website/docs/community/spotlight/oliver-cramer.md b/website/docs/community/spotlight/oliver-cramer.md
new file mode 100644
index 00000000000..194c22ddcd1
--- /dev/null
+++ b/website/docs/community/spotlight/oliver-cramer.md
@@ -0,0 +1,35 @@
+---
+id: oliver-cramer
+title: Oliver Cramer
+description: |
+ When I joined Aquila Capital in early 2022, I had the ModernDataStack with SqlDBM, dbt & Snowflake available. During the first half year I joined the dbt community. I have been working in the business intelligence field for many years. In 2006 I founded the first TDWI Roudtable in the DACH region. I often speak at conferences, such as the Snowflake Summit and the German TDWI conference.
+ I have been very involved in the data vault community for over 20 years and I do a lot of work with dbt Labs’ Sean McIntyre and Victoria Mola to promote Data Vault in EMEA. I have even travelled to Canada and China to meet data vault community members! Currently I have a group looking at the Data Vault dbt packages. The German Data Vault User Group (DDVUG) has published a sample database to test Data Warehouse Automation tools.
+ In addition, I founded the Analytics Engineering Northern Germany Meetup Group, which will transition into an official dbt Meetup, the Northern Germany dbt Meetup.
+image: /img/community/spotlight/oliver.jpg
+pronouns: he/him
+location: Celle, Germany
+jobTitle: Lead Data Warehouse Architect
+companyName: Aquila Capital
+organization: TDWI Germany
+socialLinks:
+ - name: LinkedIn
+ link: https://www.linkedin.com/in/oliver-cramer/
+dateCreated: 2023-11-02
+hide_table_of_contents: true
+---
+
+## When did you join the dbt community and in what way has it impacted your career?
+
+I joined the dbt community in 2022. My current focus is on building modern data teams. There is no magic formula for structuring your analytics function. Given the pace of technological change in our industry, the structure of a data team must evolve over time.
+
+## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
+
+I like working with dbt Labs' Sean McIntyre to promote Data Vault in Europe and Victoria Mola, also from dbt Labs, is always a great help when I have questions about dbt.
+
+## What have you learned from community members? What do you hope others can learn from you?
+
+I just think it's good to have a community, to be able to ask questions and get good answers.
+
+## Anything else interesting you want to tell us?
+
+Data Vault is actively looking forward to supporting the messaging that dbt Cloud (+packages) is a real alternative that works.
diff --git a/website/docs/community/spotlight/sam-debruyn.md b/website/docs/community/spotlight/sam-debruyn.md
new file mode 100644
index 00000000000..166adf58b09
--- /dev/null
+++ b/website/docs/community/spotlight/sam-debruyn.md
@@ -0,0 +1,37 @@
+---
+id: sam-debruyn
+title: Sam Debruyn
+description: |
+ I have a background of about 10 years in software engineering and moved to data engineering in 2020. Today, I lead dataroots's data & cloud unit on a technical level, allowing me to share knowledge and help multiple teams and customers, while still being hands-on every day. In 2021 and 2022, I did a lot of work on dbt-core and the dbt adapters for Microsoft SQL Server, Azure SQL, Azure Synapse, and now also Microsoft Fabric. I spoke at a few meetups and conferences about dbt and other technologies which I'm passionate about. Sharing knowledge is what drives me, so in 2023 I founded the Belgium dbt Meetup. Every meetup reached its maximum capacity ever since.
+image: /img/community/spotlight/sam.jpg
+pronouns: he/him
+location: Heist-op-den-Berg, Belgium
+jobTitle: Tech Lead Data & Cloud
+companyName: dataroots
+organization: ""
+socialLinks:
+ - name: Twitter
+ link: https://twitter.com/s_debruyn
+ - name: LinkedIn
+ link: https://www.linkedin.com/in/samueldebruyn/
+ - name: Blog
+ link: https://debruyn.dev/
+dateCreated: 2023-11-03
+hide_table_of_contents: true
+---
+
+## When did you join the dbt community and in what way has it impacted your career?
+
+I joined the dbt Community at the end of 2020, when we had dbt 0.18. At first, I was a bit suspicious. I thought to myself, how could a tool this simple make such a big difference? But after giving it a try, I was convinced: this is what we'll all be using for our data transformations in the future. dbt shines in its simplicity and very low learning curve. Thanks to dbt, a lot more people can become proficient in data analytics. I became a dbt evangelist, both at my job as well as in local and online data communities. I think that data holds the truth. And I think that the more people we can give access to work with data, so that they don't having to depend on others to work with complex tooling, the more we can achieve together.
+
+## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
+
+It's hard to pick one person. There are lots of folks who inspired me along the way. There is Anders Swanson (known as dataders on Github), with whom I've spent countless hours discussing how we can bring two things I like together: dbt and the Microsoft SQL products. It's amazing to look back on what we achieved now that dbt Labs and Microsoft are working together to bring dbt support for Fabric and Synapse. There is also Jeremy Cohen (jerco) whose lengthy GitHub discussions bring inspiration to how you can do even more with dbt and what the future might hold. Cor Zuurmond (JCZuurmond) inspired me to start contributing to dbt-core, adapters, and related packages. He did an impressive amount of work by making dbt-spark even better, building pytest integration for dbt, and of course by bringing dbt to world's most used database: dbt-excel.
+
+## What have you learned from community members? What do you hope others can learn from you?
+
+dbt doesn't only shine when you're using it, but also under the hood. dbt's codebase is very approachable and consistently well written with code that is clean, elegant, and easy to understand. When you're thinking about a potential feature, a bugfix, or building integrations with dbt, just go to Slack or Github and see what you can do to make that happen. You can contribute by discussing potential features, adding documentation, writing code, and more. You don't need to be a Python expert to get started.
+
+## Anything else interesting you want to tell us?
+
+The dbt community is one of the biggest data communities globally, but also the most welcoming one. It's amazing how nice, friendly, and approachable everyone is. It's great to be part of this community.
diff --git a/website/docs/community/spotlight/stacy-lo.md b/website/docs/community/spotlight/stacy-lo.md
new file mode 100644
index 00000000000..f0b70fcc225
--- /dev/null
+++ b/website/docs/community/spotlight/stacy-lo.md
@@ -0,0 +1,40 @@
+---
+id: stacy-lo
+title: Stacy Lo
+description: |
+ I began my career as a data analyst, then transitioned to a few different roles in data and software development. Analytics Engineer is the best title to describe my expertise in data.
+
+ I’ve been in the dbt Community for almost a year. In April, I shared my experience adopting dbt at the Taipei dbt Meetup, which inspired me to write technical articles.
+
+ In Taiwan, the annual "iThome Iron Man Contest" happens in September, where participants post a technical article written in Mandarin every day for 30 consecutive days. Since no one has ever written about dbt in the contest, I'd like to be the first person, and that’s what I have been busy with for in the past couple of months.
+image: /img/community/spotlight/stacy.jpg
+pronouns: she/her
+location: Taipei, Taiwan
+jobTitle: Senior IT Developer
+companyName: Teamson
+socialLinks:
+ - name: LinkedIn
+ link: https://www.linkedin.com/in/olycats/
+dateCreated: 2023-11-01
+hide_table_of_contents: true
+---
+
+## When did you join the dbt community and in what way has it impacted your career?
+
+I joined dbt Slack on November 2022. It was the time our company decided to use dbt in our data architecture, so I joined the #local-taipei channel in dbt Slack and introduced myself. To my surprise, I was immediately invited to share my experience at a Taipei dbt Meetup. I just joined the community, never joined any other meetups, did not know anyone there, and was very new to dbt.
+
+The biggest impact to my career is that I gained a lot of visibility! I got to know a lot of great data people, and now I have one meetup presentation recorded on YouTube, 30 technical articles on iThome Iron Man Contest, and now I am featured in the dbt Community Spotlight!
+
+## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
+
+Karen Hsieh is the best! She not only brought me in to the dbt Community by way of the #local-taipei channel in dbt Slack, but she also encouraged me to contribute to the community in many ways, without making me feel pressured. With her passion and leading style, Karen successfully built a friendly and diverse group of people in #local-taipei.
+
+I’d also like to recommend Bruno de Lima's LinkedIn posts. His 'dbt Tips of the Day' effectively delivery knowledge in a user-friendly way. In addition, I really enjoyed the dbt exam practice polls. Learning dbt can be a challenge, but Bruno makes it both easy and fun!
+
+## What have you learned from community members? What do you hope others can learn from you?
+
+I learned that there are many ways to contribute to the community, regardless of our background or skill level. Everyone has something valuable to offer, and we should never be afraid to share. Let's find our own ways to make an impact!
+
+## Anything else interesting you want to tell us?
+
+Although the #local-taipei channel in dbt Slack is not made up of many, many people, we still managed to assemble a team of 7 people to join the Iron Man Contest. We produced a total of 200 articles in 30 days in topics around dbt and data. I don’t know how many people will find them useful, but it's definitely a great start to raising awareness of dbt in Taiwan.
diff --git a/website/docs/community/spotlight/sydney-burns.md b/website/docs/community/spotlight/sydney-burns.md
new file mode 100644
index 00000000000..ecebd6cdec0
--- /dev/null
+++ b/website/docs/community/spotlight/sydney-burns.md
@@ -0,0 +1,34 @@
+---
+id: sydney-burns
+title: Sydney Burns
+description: |
+ In 2019, I started as an analytics intern at a healthcare tech startup. I learned about dbt in 2020 and joined the community to self-teach. The following year, I started using dbt professionally as a consultant, and was able to pick up various parts of the stack and dive into different implementations. That experience empowered me to strike a better balance between "best practices" and what suits a specific team best. I also spoke at Coalesce 2022, a highlight of my career!
+
+ Now, I collaborate with other data professionals at Webflow, where focused on enhancing and scaling our data operations. I strive to share the same enthusiasm, support, and knowledge with my team that I've gained from the broader community!
+image: /img/community/spotlight/sydney.jpg
+pronouns: she/her
+location: Panama City, FL, USA
+jobTitle: Senior Analytics Engineer
+companyName: Webflow
+socialLinks:
+ - name: LinkedIn
+ link: https://www.linkedin.com/in/sydneyeburns/
+dateCreated: 2023-11-09
+hide_table_of_contents: true
+---
+
+## When did you join the dbt community and in what way has it impacted your career?
+
+The stack I used in my first data role was outdated and highly manual. Where I live, modern tech companies are few and far between, and I didn't have many in-person resources nor enough knowledge to realize that another world was possible at my skill level. I was thrilled to find a pocket of the Internet where similarly frustrated but creative data folks were sharing thoughtful solutions to problems I'd been struggling with!
+
+## What dbt community leader do you identify with? How are you looking to grow your leadership in the dbt community?
+
+Christine Berger was my first ever (best ever!) data colleague, and the one who first introduced me to dbt.
+
+There are certain qualities I've always valued in her, that I've found in many others across the community, and strive to cultivate in myself — earnestness, curiosity, creativity, and consistently doing good work with deep care.
+
+## What have you learned from community members? What do you hope others can learn from you?
+
+I spent too much time in my early career feeling scared to ask for help because I didn't want others to think I was incompetent. I'd spin my wheels on something for hours before finally asking someone to help me.
+
+The community has proven one thing to me time and time again: there are people here who will not only help you, but will be palpably *excited* to help you and share what they know, especially if it's clear you've made efforts to use your resources and try things on your own first. I'm one of those people now!
diff --git a/website/docs/docs/build/saved-queries.md b/website/docs/docs/build/saved-queries.md
index 39a4b2e52fd..a447fbb1a1a 100644
--- a/website/docs/docs/build/saved-queries.md
+++ b/website/docs/docs/build/saved-queries.md
@@ -6,10 +6,6 @@ sidebar_label: "Saved queries"
tags: [Metrics, Semantic Layer]
---
-:::info Saved queries coming soon
-Saved queries isn't currently available in MetricFlow but support is coming soon.
-:::
-
Saved queries are a way to save commonly used queries in MetricFlow. You can group metrics, dimensions, and filters that are logically related into a saved query.
To define a saved query, refer to the following specification:
@@ -18,9 +14,7 @@ To define a saved query, refer to the following specification:
| --------- | ----------- | ---- |
| `name` | The name of the metric. | Required |
| `description` | The description of the metric. | Optional |
-| `metrics` | The metrics included in the saved query. | Required |
-| `group_bys` | The value displayed in downstream tools. | Required |
-| `where` | Filter applied to the query. | Optional |
+| `query_params` | The query parameters for the saved query: `metrics`, `group_by`, and `where`. | Required |
The following is an example of a saved query:
@@ -28,14 +22,15 @@ The following is an example of a saved query:
saved_query:
name: p0_booking
description: Booking-related metrics that are of the highest priority.
- metrics:
- - bookings
- - instant_bookings
- group_bys:
- - TimeDimension('metric_time', 'day')
- - Dimension('listing__capacity_latest')
- where:
- - "{{ Dimension('listing__capacity_latest') }} > 3"
+ query_params:
+ metrics:
+ - bookings
+ - instant_bookings
+ group_bys:
+ - TimeDimension('metric_time', 'day')
+ - Dimension('listing__capacity_latest')
+ where:
+ - "{{ Dimension('listing__capacity_latest') }} > 3"
```
### FAQs
diff --git a/website/docs/docs/deploy/source-freshness.md b/website/docs/docs/deploy/source-freshness.md
index 78500416c56..2f9fe6bc007 100644
--- a/website/docs/docs/deploy/source-freshness.md
+++ b/website/docs/docs/deploy/source-freshness.md
@@ -13,7 +13,7 @@ dbt Cloud provides a helpful interface around dbt's [source data freshness](/doc
[`dbt build`](reference/commands/build) does _not_ include source freshness checks when building and testing resources in your DAG. Instead, you can use one of these common patterns for defining jobs:
- Add `dbt build` to the run step to run models, tests, and so on.
- Select the **Generate docs on run** checkbox to automatically [generate project docs](/docs/collaborate/build-and-view-your-docs#set-up-a-documentation-job).
-- Select the **Run on source freshness** checkbox to enable [source freshness](#checkbox) as the first to step of the job.
+- Select the **Run source freshness** checkbox to enable [source freshness](#checkbox) as the first step of the job.
@@ -24,7 +24,7 @@ Review the following options and outcomes:
| Options | Outcomes |
|--------| ------- |
| **Select checkbox ** | The **Run source freshness** checkbox in your **Execution Settings** will run `dbt source freshness` as the first step in your job and won't break subsequent steps if it fails. If you wanted your job dedicated *exclusively* to running freshness checks, you still need to include at least one placeholder step, such as `dbt compile`. |
-| **Add as a run step** | Add the `dbt source freshness` command to a job anywhere in your list of run steps. However, if your source data is out of date — this step will "fail', and subsequent steps will not run. dbt Cloud will trigger email notifications (if configured) based on the end state of this step.
You can create a new job to snapshot source freshness.
If you *do not* want your models to run if your source data is out of date, then it could be a good idea to run `dbt source freshness` as the first step in your job. Otherwise, we recommend adding `dbt source freshness` as the last step in the job, or creating a separate job just for this task. |
+| **Add as a run step** | Add the `dbt source freshness` command to a job anywhere in your list of run steps. However, if your source data is out of date — this step will "fail", and subsequent steps will not run. dbt Cloud will trigger email notifications (if configured) based on the end state of this step.
You can create a new job to snapshot source freshness.
If you *do not* want your models to run if your source data is out of date, then it could be a good idea to run `dbt source freshness` as the first step in your job. Otherwise, we recommend adding `dbt source freshness` as the last step in the job, or creating a separate job just for this task. |
diff --git a/website/src/components/communitySpotlightList/index.js b/website/src/components/communitySpotlightList/index.js
index b72d640b74d..6885f5ff2ac 100644
--- a/website/src/components/communitySpotlightList/index.js
+++ b/website/src/components/communitySpotlightList/index.js
@@ -11,7 +11,7 @@ const communityDescription = "The dbt Community is where analytics engineering l
// This date determines where the 'Previously on the Spotlight" text will show.
// Any spotlight members with a 'dateCreated' field before this date
// will be under the 'Previously..' header.
-const currentSpotlightDate = new Date('2023-06-01')
+const currentSpotlightDate = new Date('2023-10-31')
function CommunitySpotlightList({ spotlightData }) {
const { siteConfig } = useDocusaurusContext()
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