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Python-based ETL Automation with Airflow and AWS

This project involves building and automating ETL pipelines using Apache Airflow on AWS EC2 instances, with data extracted, transformed, and loaded into Amazon S3. The entire process is managed and developed remotely using VSCode. Python is utilized as the primary language for pipeline scripts and Airflow DAGs, ensuring efficient orchestration of cloud-based workflows.

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