Data Engineers in Toronto

Join 3,046+ data professionals for expert-led webinars covering Azure, Fabric, SQL Server, and the future of data engineering. Twice monthly sessions, real-world insights.

Members

Events Hosted

Monthly

Monday, October 26, 2026 · 8:00 PM EDT

FabCon 2026 Barcelona: Beyond the Announcements

Alexander Turlov

Principal Consultant · Alta Computing

An informal recap of Microsoft's flagship Fabric conference in Barcelona: photos, hallway conversations with Microsoft engineers, and a curated look at which announcements actually matter for real customer projects.

5 attending

Monday, November 9, 2026 · 8:00 PM EST

Deep Dive into Scalable, AI-Ready Spark in Microsoft Fabric

Iurii Iurchenko

Senior Data Engineer · Life Line Screening

A practical deep dive into Spark-based data engineering in Fabric: advanced Spark SQL, patterns for semi-structured data, reliable and maintainable pipelines, and notebook and table optimization — plus Fabric's built-in AI functions for text processing, enrichment, classification, and feature engineering.

32 attending

Monday, November 30, 2026 · 8:00 PM EST

The Integration Blueprint: Choosing the Right Path in Microsoft Fabric

Javier Villegas

IT Director · Microsoft MVP Data Platform

How do you design the right integration strategy in Fabric? A live demo-driven playbook for landing, transforming, and orchestrating data with Data Pipelines, OneLake shortcuts, Spark Notebooks, and Dataflows Gen2 — with decision criteria for Lakehouse, Warehouse, Eventhouse, and SQL Database targets.

19 attending

Monday, December 7, 2026 · 8:00 PM EST

City of Toronto Open Data Portal

Mac Nichols

Supervisor · City of Toronto Open Data

The team behind open.toronto.ca pulls back the curtain: how Toronto's Open Data Portal works behind the scenes, how it has evolved since launching in 2009, and where open data contributes to the city — straight from the staff who manage it.

16 attending

Monday, January 11, 2027 · 8:00 PM EST

Agentic Loops in the Data Stack: From Pipeline Failure to Auto-Remediation

Varun Joshi

Senior Data Engineer · AWS

Five AI agents changing how data teams operate — 24/7 pipeline monitoring, schema-drift detection at ingestion, and closing the gap from production failure to root cause in minutes. Real implementation patterns, including a baseline-learning monitoring agent and a tool-use driven incident-response loop.

6 attending

Knowledge Sharing & Networking for Data Professionals

We are a community of data engineers, AI engineers, and BI engineers in the Greater Toronto Area. Our twice-monthly expert-led webinar sessions cover the skills and knowledge that matter most in today's data landscape.