Rise of the Data Builder:Agentic AI and the Future of Fabric Engineering
About the Session
The lines between data engineer, AI engineer, and software engineer are blurring. Agentic coding tools are reshaping who builds the data platform — and a new data builder role is emerging at every team size, from Microsoft engineering to small client teams in the field.
This full-day workshop pairs two perspectives: how a Microsoft data engineering team is adopting GitHub Copilot and agentic workflows for Fabric, and field-tested adaptations from solution architecture work with client teams who lack Microsoft's scale.
What you'll master:
- Apply agentic coding patterns to Fabric notebooks, Spark, and Lakehouse pipelines in production
- Configure GitHub Copilot, MCP servers, and reusable skills for Fabric data engineering
- Architect end-to-end agentic pipelines spanning ingestion, transformation, testing, and observability
- Adopt patterns a Microsoft team uses at scale — and adaptations proven with smaller client teams in the field
- Position your career for the unified data builder role replacing siloed engineer titles
Walk away with a working agentic toolkit, production and field case studies, and a clear view of where engineering roles are heading.
About the Speakers
Mihaly Kavasi
Mihaly Kavasi is a Microsoft Certified Trainer, Fast Track Recognised Solution Architect for Power BI, and Founder of OneDayBI — a UK consultancy helping small and mid-sized businesses turn data into daily decisions.
Over a decade of enterprise data work, most recently as Group Manager Delivery Lead and Trainer at Avanade (Microsoft's largest global partner), shapes how he speaks: practical, jargon-free, and grounded in what actually ships. He has spoken at Data Scotland, Budapest BI Forum, and runs selfservicebi.co.uk — a blog read by data analysts and decision makers on AI-assisted report development, governance, and what it really takes to make Self-Service BI work in practice.
Recent talks cover building context for AI agents in Power BI, sub-agent architectures for report development, and the operational realities of governance at SME scale.
Tamas Polner
Tamas Polner is a Principal PM Manager in Azure Data Engineering at Microsoft, based in Redmond, Washington.
He works on Microsoft's analytics and data platform, including Microsoft Fabric and data integration experiences such as Power BI dataflows, helping customers ingest, transform, and unify data at scale.
Tamas is a regular speaker and presenter on modern data engineering, and focuses on making it easier for organizations to build scalable, data-first solutions on the Microsoft cloud.
Workshop day overview and information: Workshop Day (English) Workshop nap (magyar)