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Data Engineering Projects

This repository showcases data engineering projects designed to demonstrate practical skills in building data pipelines, orchestrating workflows, and managing cloud/on-premise data solutions.

Projects Included

1. Flights Data Pipeline

Description:
An end-to-end ETL pipeline that extracts real-time flight information from the Aviationstack API, transforms the data using Python, and loads it into a PostgreSQL database.

Key Skills & Tools:

  • Python (data extraction & transformation)
  • PostgreSQL (data storage & querying)
  • Apache Airflow (workflow orchestration and scheduling)
  • Docker (containerized development environment)

More projects will be added over time, covering topics such as streaming data, cloud-based lakehouses, data quality testing, and more.

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