Azure & Microsoft Fabric Data Engineer in transition Β· Chemical Engineer Β· 20 years of retail operations leadership
- π Currently building: a Microsoft Fabric data engineering portfolio and a hybrid Linux homelab connected to Azure
- π± Currently learning: DP-700 β Microsoft Fabric Data Engineer Associate
- π¬ Ask me about: Lakehouses, turning a spare laptop into a secure server, or keeping a night shift running on time
- π Open to: freelance data engineering projects & full-time Azure Data Engineer roles β UK and worldwide Β· on-site Β· hybrid Β· remote
Data engineering & analytics
Cloud
Infrastructure & DevOps
| Project | Description | Status |
|---|---|---|
| 01 β Lakehouse Foundation | PySpark ingestion β Delta table β SQL endpoint | β Phase 1 complete |
| 02 β End-to-End Pipeline | Incremental load Β· orchestration Β· Power BI Direct Lake | β³ Planned |
| 03 β Real-Time Analytics | Eventstream β Eventhouse β KQL anomaly detection | β³ Planned |
| 04 β Security Framework | RLS Β· sensitivity labels Β· OneLake access roles | β³ Planned |
| Project | Description | Status |
|---|---|---|
| Microsoft Fabric DP-700 labs | Hands-on Fabric labs Β· PySpark Β· Delta Β· Lakehouse Β· synced with Fabric Git integration | π In progress |
| Homelab: Hybrid Linux Server | Ubuntu server Β· Tailscale zero-trust access Β· SSH hardening Β· Docker Β· Azure Arc Β· restic β Azure Blob | π Phase 2 complete |
- Chemical Engineer turning into Data Engineer β I approach data pipelines the same way I approach process design: systematically
- I run long distances and debug code β both require patience and the ability to push through when it gets hard
- I lead a night shift operation, so I know what it means to deliver reliably when no one is watching
π Languages: English Β· Romanian Β· French


