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mage-ai

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An end-to-end data pipeline solution to process and analyze Maintenance Work Orders using Mage, Google BigQuery, Cloud SQL, and Looker Studio. Features a seamless integration of cloud tools for scalable data storage, transformation, and visualization.

  • Updated Oct 20, 2024
  • Python

Engineered a robust data pipeline using Google Cloud Platform (GCP) services like Cloud Storage, Compute Engine, BigQuery, resulting in a 30% decrease in data processing and analysis time of the San Francisco Crime dataset.Designed an interactive dashboard using Looker Studio, empowering stakeholders to explore crime data visually.

  • Updated Jan 20, 2024
  • Jupyter Notebook

This project showcases a data engineering pipeline using Google Cloud Platform (GCP) for analyzing taxi trips data from New York City. The pipeline includes steps such as data collection, storage setup, ETL processing, database creation, and data visualization.

  • Updated Mar 5, 2024
  • Jupyter Notebook

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