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salmah52/README.md

Hello, I am Salmah πŸ‘‹

Thanks for stopping by. Here's a little bit about myself...

  • πŸ‘€ I’m interested in Big Data, Data Analysis and Data Engineering.
  • 🌱 I’m currently learning Advanced SQL, DBT and Apache Airflow.
  • πŸ’žοΈ I’m looking to collaborate on exciting data-related projects.

What I Do

  • πŸ› οΈ I work on Data Engineering Projects, specializing in building robust data pipelines, ETL processes, and data warehousing solutions.
  • πŸ“Š I'm passionate about Data Analysis, where I explore datasets, uncover insights, and make data-driven decisions.
  • 🌐 I'm keen on diving deep into the world of Big Data, dealing with massive datasets, and harnessing the power of distributed computing frameworks.
  • πŸŒͺ️ I'm exploring Apache Airflow for orchestrating and automating complex data workflows.
  • πŸ“ˆ I'm also delving into dbt (Data Build Tool) for transforming data in the analytics stack, enabling seamless data modeling and analytics.

My Expertise

  • πŸ“ˆ Data Engineering: I design, develop, and optimize data pipelines, ensuring data is accessible, reliable, and scalable.
  • πŸ“Š Data Analysis: I perform exploratory data analysis, generate visualizations, and derive meaningful insights from data.
  • πŸ“‘ Big Data: I'm exploring technologies like Hadoop, Spark, and distributed databases to tackle large-scale data challenges.
  • βš™οΈ Apache Airflow: I'm learning to use Apache Airflow for orchestrating complex data workflows, automating tasks, and scheduling jobs.
  • πŸ”„ dbt (Data Build Tool): I'm honing my skills in dbt to build and manage data transformations for analytics.

Let's Connect

Portfolio

  • πŸ“‚ Check out my portfolio on Canva.
  • πŸ“š Explore more projects on Canva.

Top Repositories

Skills and Tools

  • πŸ› οΈ Data Analysis and Visualization: Power BI, SQL, Python, MongoDB
  • ☁️ Cloud Services: Azure, GCP, AWS Redshift
  • πŸ”„ ETL (Extract, Transform, Load) Processes
  • πŸ’‘ Problem-Solving Skills
  • πŸ’¬ Effective Communication
  • πŸ“š Self-Taught and Adaptive Learner
  • πŸ“– Research Efficiency
  • πŸ—ƒοΈ Databases

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