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Data Engineers in Toronto February 2026 Monthly Meeting

Topic: Implementing Medallion Architecture with Microsoft Fabric

Abstract:
The Medallion architecture is a widely adopted pattern for building scalable and maintainable data platforms, and Microsoft Fabric provides a natural foundation for implementing it in a modern, unified way. This session looks at how the bronze, silver, and gold layers map to Fabric’s core concepts and why the platform’s design makes the Medallion approach practical rather than theoretical.

In this session, we will:
- Outline a reference Medallion architecture in Microsoft Fabric
- Walk through a live, end‑to‑end implementation across bronze, silver, and gold layers
- Show how Fabric artifacts fit into each layer and support data engineering and analytics workflows

This session is intended for professional data engineers working with Microsoft Fabric who want to apply Medallion architecture in real projects. If you’re looking for practical patterns, realistic design guidance, and a clear way to structure Fabric workloads end to end, this session will help you turn the Medallion concept into an implementable design.

Speaker: Alexander Turlov, Principal Consultant at Alta Computing Inc.

Speaker Profile:
Alexander Turlov is a professional consultant, specializing in cloud data architecture and Microsoft Fabric solutions. He helps organizations design scalable data platforms and integrate modern tools like GitHub Copilot and VS Code to accelerate development workflows.

Alexander is a certified Microsoft Fabric Data Engineer and an active community contributor, sharing practical insights through presentations and workshops on AI-assisted data engineering and analytics.

The meeting is over Microsoft Teams, and the joining link is https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzZkYWIyOTAtODk1MC00MjVmLWJlNjUtNTRiODZmODA2Zjdh%40thread.v2/0?context=%7b%22Tid%22%3a%22bd9727e8-f539-4c76-983c-6c30130c0bee%22%2c%22Oid%22%3a%229e8d5a64-e773-4ca2-90f6-9a266129171e%22%7d

See you at the meeting!

Related topics

Data
Data Analytics
Database Professionals
Microsoft

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