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.