ETL Pipeline Azure Synapse is the focus of this free live webinar by Data Science Dojo — a hands-on, demo-driven session that walks you through building a complete, production-ready data pipeline using the Medallion Architecture. From raw API ingestion to analytics-ready Gold layer output, you will see every step executed live inside Azure Synapse Analytics.
If you are a data engineer, cloud professional, or developer working with Azure data tools, this session gives you the practical foundation to build scalable, maintainable pipelines that hold up in the real world.
The Medallion Architecture is a layered data design pattern that structures your ETL pipeline Azure Synapse environment into three clearly defined zones — each serving a specific purpose in the data lifecycle:
Applying this pattern to your ETL pipeline Azure Synapse setup makes it far easier to debug, audit, scale, and maintain over time. It separates concerns cleanly and gives every stage of your data a well-defined home — which is exactly why it has become a standard pattern in enterprise data engineering teams globally.
This session is built around doing, not just watching. By the end of the webinar, you will walk away knowing how to:
This webinar is designed for professionals who work with data on Azure or are actively moving in that direction:
If you want hands-on exposure to how an ETL pipeline Azure Synapse solution is designed, structured, and deployed at the enterprise level, this session delivers exactly that.
Azure Synapse Analytics is Microsoft’s unified analytics platform — combining big data processing, data warehousing, and pipeline orchestration into a single integrated service. Building your ETL pipeline in Azure Synapse means your team can ingest, transform, and serve data at enterprise scale without managing a fragmented stack of disconnected tools.
Paired with the Medallion Architecture, an ETL pipeline Azure Synapse solution becomes a governed, layered, production-ready foundation that scales with your data volumes and stays manageable as complexity grows. This webinar shows you how to build that combination from the ground up — not in theory, but with live code and real Azure resources.

Associate Data Engineer – II