https://github.com/no0bitah/etl_amazonbooks
Amazon Books ETL Pipeline using Python, Airflow, and Docker This ETL pipeline is designed to extract, filter, and store high-rated self-improvement books from Amazon, leveraging a robust, containerized data engineering stack.
https://github.com/no0bitah/etl_amazonbooks
Last synced: 6 months ago
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Amazon Books ETL Pipeline using Python, Airflow, and Docker This ETL pipeline is designed to extract, filter, and store high-rated self-improvement books from Amazon, leveraging a robust, containerized data engineering stack.
- Host: GitHub
- URL: https://github.com/no0bitah/etl_amazonbooks
- Owner: No0Bitah
- License: mit
- Created: 2025-05-12T11:20:13.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-14T13:23:23.000Z (about 1 year ago)
- Last Synced: 2025-07-06T22:39:54.808Z (about 1 year ago)
- Language: Python
- Size: 51.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ETL_amazonBooks
Amazon Books ETL Pipeline using Python, Airflow, and Docker This ETL pipeline is designed to extract, filter, and store high-rated self-improvement books from Amazon, leveraging a robust, containerized data engineering stack.
🔄 Status
This ETL pipeline is under active development and will be updated incrementally. Future iterations aim to make the process fully automated, scalable, and production-ready.