🐳 🛠️🚀 A containerized end-to-end ETL pipeline built with Apache Airflow, Python, Pandas, Docker, and Postgres. The pipeline extracts product data from CSV, applies transformations and data cleaning, loads the results into Postgres, and logs summary metrics such as average price and filtered product names.
python docker airflow sql etl vscode psql pandas data-engineering airflow-docker etl-pipeline airflow-dags docker-psql
-
Updated
Jan 2, 2026 - Python