Enterprise track: Step Functions/EventBridge + Glue + data quality on top of the v1 serverless ELT
-
Updated
Jan 3, 2026 - Python
Enterprise track: Step Functions/EventBridge + Glue + data quality on top of the v1 serverless ELT
🌟 Build a production-lite serverless ELT pipeline on AWS, enabling efficient data ingestion and transformation from S3 to Parquet with minimal overhead.
End-to-end Azure Data Engineering project using ADF for incremental ingestion, Databricks (DLT) for Medallion Architecture, and Delta Lake for CDC (SCD Type 1). Managed via Databricks Asset Bundles (DABs) for professional CI/CD. Focuses on real-time streaming, scalability, and Star Schema modeling.
Powering Data Dreams: From Orchestration to Analytics with Cloud Precision
Add a description, image, and links to the end-to-end-data-pipelines topic page so that developers can more easily learn about it.
To associate your repository with the end-to-end-data-pipelines topic, visit your repo's landing page and select "manage topics."