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This ETL project was designed to demonstrate the development of a scalable data pipeline for customer sales analysis. It covers all essential steps, from data extraction to transformation and loading into a database, with Apache Airflow used.
Automated Data Pipeline that ingests daily GA4-formatted CSV files from a private Google Cloud Storage bucket, validates and loads them into BigQuery, and prepares analysis-ready views. The solution is built for deployment as a Cloud Function triggered by Cloud Scheduler and uses Python with the Google Cloud Storage and BigQuery client libraries.