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

About this event

Data Engineers in Toronto November 2026 Semimonthly Meeting Topic: Deep Dive into Scalable, AI-Ready Spark in Microsoft Fabric Abstract: In this session, we’ll take a practical deep dive into Spark-based data engineering in Microsoft Fabric. We’ll walk through proven techniques and repeatable patterns for solving common and advanced data engineering challenges, covering advanced Spark SQL functions, effective approaches to semi-structured data, and strategies for building reliable, maintainable pipelines. We will be focusing on Fabric-specific aspects of Spark Notebooks, including table optimization. AI-related capabilities in Fabric Spark will also be covered, including built-in and integrated functions that support text processing, enrichment, classification, and feature engineering directly within Spark workloads, along with guidance on where these functions fit. Speaker: Iurii Iurchenko, Sr Data Engineer at Life Line Screening Speaker Profile: Iuril is an Azure advocate, Fabcon speaker, Senior Data Engineer & Tech Lead with 13 years of deep, hands-on expertise in Data Analytics, Microsoft Fabric, and the Azure data ecosystem. 2x certified in Microsoft Fabric, with 6+ successfully delivered complex projects leveraging Microsoft Fabric. Two-time SQL Saturday speaker in San Diego, Top-1% ADPList mentor, former entrepreneur, and active OHDSI CDM contributor with 7 years in consulting and 6 years in product engineering. He brings a highly practical, frontier-level skillset at the intersection of Fabric, AI, and healthcare analytics. He is currently innovating at Life Line Screening, bringing the best of Microsoft Fabric to its modern data analytics platform. The meeting is over Microsoft Teams, and the joining link is https://vip.dataengineersintoronto.org/webinar See you at the meeting!