chayansraj/Python-ETL-pipeline-using-Airflow-on-AWS

This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.

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Emerging

This project helps data professionals automate the extraction, transformation, and loading of data from web APIs into cloud storage. It takes raw JSON data from an API, performs basic cleaning, and stores it in Amazon S3 buckets. This is ideal for data engineers or analysts who need to set up reliable, scheduled data feeds for reporting or further analysis.

No commits in the last 6 months.

Use this if you need to regularly pull data from a web API, clean it slightly, and store it in an AWS S3 data lake for subsequent use.

Not ideal if your data sources are not web APIs, you don't use AWS, or your data transformation needs are highly complex.

data-engineering data-pipeline cloud-data-storage API-integration ETL-automation
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 16 / 25

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19

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6

Language

Python

License

Last pushed

Aug 21, 2025

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