Tim Spannagel

Hi, I'm Tim, as a data and cloud enthusiast from Germany, I have a passion for technology. I love learning and sharing insights to make complex topics accessible and engaging. Through workshops, talks, or one-on-one mentoring, I enjoy connecting with people, sparking joy and fascination for the subjects I’m passionate about.

Sessions for 2026

AI in Action: Navigating Microsoft Fabric with Data Agents and Copilots

Explore how AI empowers developers, data engineers, and business users in Microsoft Fabric. Learn Copilot and Data Agent capabilities across core experiences, practical use cases, and when to use AI vs. manual approaches.

From Dev to Dashboard – Azure SQL vs Fabric SQL in Practice

Should you run your analytics workloads in Azure SQL or Fabric SQL? This session compares architecture, performance, cost, and integration. Learn where each platform shines — from dev to operational reporting — and get a decision framework to choose the right SQL engine for your scenario.

SAP to Fabric: A Step‑by‑Step Integration Playbook for S/4HANA & ECC

Learn proven patterns to integrate SAP S/4HANA and ECC with Microsoft Fabric. From extraction methods to delta handling, pipeline design, and governance - get practical steps for moving SAP data into OneLake the right way.

Code, Commit, Conquer: Tips & Tricks for your daily workflow

Optimize your data engineering workflow with VS Code, Git, and Edge. This session shares actionable tips like keyboard shortcuts, extensions, version control best practices, and browser hacks to reduce friction and boost productivity. Whether you’re a pro or just starting, you’ll leave with ideas to work smarter, not harder.

Ctrl+Data: Fabric’s Blueprint for Parameterization

Join us for a demo-heavy presentation about Fabrics Variable Library and how it can improve your workflows in data pipelines, notebooks and other fabric items.

Mirror, mirror on the wall, load my data! load it all!

Watch Fabric Mirroring and materialized lake views turn sources into a near-real-time Medallion from source to gold. A demo-first tour of patterns, pitfalls and performance for data engineers and architects.