🔭 Currently building: A Microsoft Fabric data engineering portfolio — 4 end-to-end projects covering Lakehouses, pipelines, real-time analytics (KQL), and security & governance
🌱 Currently learning: DP-700 — Microsoft Fabric Data Engineer Associate (target: December 2026 - January 2027)
💼 Background: Chemical Engineer · 20 years Retail Operations Leadership · Night Shift Operation Management
🛠️ Tech stack: Microsoft Fabric · PySpark · Delta Lake · T-SQL · KQL · Power BI · Azure Data Studio · Git
📫 Reach me: cazacuirina@ymail.com
🌍 Open to: Freelance data engineering projects & full-time Azure Data Engineer roles — UK and worldwide · On-site · Hybrid · Remote
| Project | Description | Status |
|---|---|---|
| 01 — Lakehouse Foundation | PySpark ingestion → Delta table → SQL endpoint | ✅ Phase 1 complete |
| 02 — End-to-End Pipeline | Incremental load · orchestration · Power BI Direct Lake | ⏳ Planned |
| 03 — Real-Time Analytics | Eventstream → Eventhouse → KQL anomaly detection | ⏳ Planned |
| 04 — Security Framework | RLS · sensitivity labels · OneLake access roles | ⏳ Planned |
- ✅ AZ-900 — Microsoft Azure Fundamentals
- ✅ DP-900 — Microsoft Azure Data Fundamentals
- 🔄 DP-700 — Microsoft Fabric Data Engineer Associate (in progress)
- ✅ Microsoft Azure Data Engineer Bootcamp — Firebrand Training
- Chemical Engineer turning into Data Engineer — I approach data pipelines the same way I approach process design: systematically
- I run long distances and debug code — both require patience and the ability to push through when it gets hard
- I am currently leading Night Shift Operation, so I know what it means to deliver reliably when no one is watching
🌐 Languages: · English · Romanian · French