Data Engineer & BI Developer — Manufacturing & Automotive

The hard part is the bill of materials

Eight years shaping supply-chain and BoM data into dimensional models — and the Power BI layer on top that procurement, risk, and strategy teams actually use.

From BoM hierarchy to queryable model Illustrative figures SOURCE HIERARCHY vehicleassembliessub-assembliespartsmaterial lines FACT TABLE part region material kg A-0416 SE Al 2.41 A-0417 DE Cu 0.83 B-1172 PL Steel 1.94 B-1173 CN Ni 0.32 C-2050 SE Al 5.10 C-2051 CZ Mg 0.47 + 36,994 rows 1 12 180 4,200 37,000 flattened to one row per part × material From BoM to queryable model Illustrative 1 12 180 4,200 37,000 flattened to one row per part × material

Areas of Expertise

From data systems design to regulatory compliance frameworks

Data Architecture

Bill-of-Materials and supply-chain data shaped into fact and dimension tables you can slice by part, supplier, and region.

See the models

BI & Reporting

Power BI dashboards and semantic models that let procurement, risk, and strategy teams slice supply-chain data themselves.

See the reporting

Pipelines & Transformation

Layered, refreshable pipelines in Power Query and PySpark — typed functions, config-driven parameters, and validation that fails fast on bad input.

See the pipelines

I Analyze. I Build. I Optimize.

Turning complex industrial data into structured, queryable models.

Hi, I'm Erik.

I'm a Data Engineer and BI Developer based in Gothenburg, Sweden. For eight years at IVL Swedish Environmental Research Institute (2018–2026) I did hands-on data work for large manufacturing and automotive clients — refreshable pipelines in Power Query, Bill-of-Materials data shaped into dimensional models, and Power BI dashboards used by procurement, risk, and strategy teams. On my own time I've built an end-to-end Microsoft Fabric platform. The domain depth — critical raw materials, EU Battery Regulation, REACH, life-cycle assessment — is what shortens the ramp-up in industrial contexts.

More about me