Scaling Search Revenue: Cloud ETL with AWS Glue and PySpark

This project exemplifies modern data engineering practices, demonstrating how organizations can leverage managed cloud services and distributed processing frameworks to unlock revenue insights from web analytics. For practitioners, it provides a blueprint for building production-grade ETL pipelines that handle real-world analytics scale without requiring deep infrastructure expertise. The open-source nature, combined with infrastructure-as-code examples, makes it invaluable for teams looking to adopt similar architectures quickly.