This Apache Beam and Dataflow pipeline provides a metadata-driven approach for automating data ingestion into BigQuery, highlighting architectural flexibility by enabling schema handling without code changes. The project showcases skills in building reusable, scalable ETL workflows designed for efficient, large-scale data processing within the Google Cloud ecosystem. For a comprehensive overview of the project's capabilities, review the repository details on GitHub