Power BI & Microsoft Fabric Architect | Supply Chain → Microsoft Fabric → AI-Ready Semantic Layers
This README is the short version. The portfolio has the full story: the IKEA-scale Fabric platform, a case study for every open-source tool, and what I am building toward in the AI era of enterprise BI.
- Microsoft MVP for Power BI and Microsoft Fabric, every year since 2022
- I architect, build, and look after IKEA's enterprise Fabric analytics: 30,000+ users, billions of rows across 15+ semantic models powering 30+ reports
- Copilot and AI agents answer from these models, so I keep them governed, documented, and source-controlled. I also lead how my team uses AI in development (Claude, Copilot, Power BI MCP), which has roughly tripled our speed
- On the side I build open-source PBIP governance tools: 94+ GitHub stars across 5 repositories
- Before BI, over ten years in supply chain and logistics operations: Samsung SDS, GXO Logistics, and more
Each of these came from a real governance problem at IKEA scale. The portfolio has a case study for every one: the problem, the approach, and what changed.
| Repository | What it does | Stars |
|---|---|---|
| pbip-documenter | Generates semantic model documentation from PBIP metadata |  |
| pbip-lineage-explorer | Visualizes end-to-end data lineage across models |  |
| isHiddenInViewMode | Bulk toggles visual visibility for governance control |  |
| pbip-impact-analyzer | Analyzes change impact before refactoring semantic models |  |
| pbip_model_lenz | Python PBIP analyzer (on PyPI): one graph, two readings for BI devs and data engineers |  |
I am exploring Power BI and Microsoft Fabric architecture roles at leading global enterprises. Based in Amsterdam, with EU work rights, open to relocation and remote. The portfolio has the details, the tools, and the numbers.
jonathan.jihwankim@gmail.com · The Netherlands · LinkedIn · Blog