Microsoft Fabric is reshaping how organizations build modern analytics and AI platforms by unifying data engineering, data science, real-time analytics, and BI on a single SaaS foundation. But for developers and data engineers, the real power shows up in the pipelines and orchestration capabilities that move and transform data reliably at scale.

In this session, you’ll get a practical, developer-focused tour of building end-to-end data engineering workflows in Microsoft Fabric. We’ll walk through how to design, build, and operate pipelines using Data Factory experiences in Fabric, notebooks, dataflows, and Lakehouses/Warehouses. You’ll see how to connect to common sources, orchestrate ingestion and transformation, manage environments, and integrate Fabric with your existing .NET and Azure architectures.

We’ll also dig into best practices for CI/CD, parametric pipelines, monitoring and alerting, and how to design workflows that support analytics, AI, and real-time scenarios without creating another “accidental data swamp.” If you’re a developer or data engineer who wants to get beyond the marketing and actually ship reliable Fabric-based data solutions, this session is for you.