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/ Event / Designing ETL Pipelines with Medallion Architecture in Azure Synapse

Designing ETL Pipelines with Medallion Architecture in Azure Synapse

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.

What Is Medallion Architecture?

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:

  • Bronze Layer — Raw, unprocessed data ingested directly from the source and stored as-is
  • Silver Layer — Cleaned, validated, and transformed data prepared for business logic
  • Gold Layer — Curated, aggregated, analytics-ready datasets for reporting and BI

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.

What You Will Learn: ETL Pipeline Azure Synapse in Practice

This session is built around doing, not just watching. By the end of the webinar, you will walk away knowing how to:

  • Design and implement a full ETL pipeline in Azure Synapse Analytics using Medallion Architecture
  • Ingest data from a public API and move it through Bronze, Silver, and Gold layers step by step
  • Configure external data sources, linked services, and integration datasets inside Azure Synapse
  • Implement Access Control Lists (ACLs) for secure, well-governed data access
  • Apply real-world data engineering practices used in production Azure environments
  • Get direct answers to your questions during a live interactive Q&A

Who Should Attend This Webinar?

This webinar is designed for professionals who work with data on Azure or are actively moving in that direction:

  • Data Engineers working with Azure or evaluating Azure Synapse for their pipeline stack
  • Cloud Architects designing scalable, maintainable data infrastructure on Microsoft Azure
  • Data Analysts and BI Developers who want to understand the pipelines feeding their reports
  • Software Developers transitioning into cloud data engineering roles
  • Tech professionals preparing for Microsoft Azure data engineering certifications

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.

Why Build Your ETL Pipeline in Azure Synapse?

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.

Featured Speakers

ETL Pipeline Azure Synapse Medallion Architecture diagram Ammar Asim presenting ETL Pipeline Azure Synapse webinar Data Science Dojo

Ammar Asim

Associate Data Engineer – II

Currently working as an Associate Data Engineer – II at Data Science Dojo, specializing in designing and optimizing ETL pipelines using Azure-based technologies such as Azure Synapse Analytics. A graduate in Computer Systems Engineering from NED University of Engineering & Technology and 4x Microsoft Azure certified, with a strong passion for building scalable, cloud-driven data solutions.

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