Data Engineer & BI Developer

Data engineering for industry

I build data pipelines, dimensional models, and Power BI reporting, and bring the industry knowledge that shortens the ramp-up.

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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.

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BI & Reporting

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

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Pipelines & Transformation

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

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Featured Work

Data pipelines, dimensional models, and BI

Power BI dashboard showing battery recycling facility locations and competitor analysis across Europe
PythonPuLPPandas

Optimizing European Battery Recycling Through Data-Driven Location and Technology Analysis

98,667 t/yr

European end-of-life battery volume left unprocessed by existing recyclers by 2026, the capacity gap the network was optimized to close

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Power BI dashboard showing total procurement spend, supplier country and material counts, spend by material as a bar chart, and spend by commodity group as a donut chart
Microsoft FabricPySparkPower BI

OEM Material Insights: Procurement & Supply-Risk Intelligence on Microsoft Fabric

Zero silent gaps

Missing coverage is surfaced and flagged rather than coerced to zero, including one gap that can never be closed

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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.

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Questions about data engineering, BI, or the regulatory side of industrial data? I'd love to hear from you.

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