data-pipeline-airflow

Production-ready ETL pipelines built with Apache Airflow, PostgreSQL, Docker, and Python. Includes scheduling, monitoring, retry logic, and automated data validation.

collections

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16 Stars

0 Forks

1 Watchers

Python Language

bsl-1.0 License

70.2 SrcLog Score

Cost to Build

$500

Market Value

$689

How is this calculated?

Growth over time

3 data points · 2026-07-22 → 2026-08-29

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What is the ethanbrooks-data/data-pipeline-airflow GitHub project? Description: "Production-ready ETL pipelines built with Apache Airflow, PostgreSQL, Docker, and Python. Includes scheduling, monitoring, retry logic, and automated data validation.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone data-pipeline-airflow

Clone via HTTPS

git clone https://github.com/ethanbrooks-data/data-pipeline-airflow.git

Clone via SSH

[email protected]:ethanbrooks-data/data-pipeline-airflow.git

Download ZIP

Download main.zip

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Report bugs or request features on the data-pipeline-airflow issue tracker:

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