Databricks Platform & Governance
Solution architecture, catalog structure, compute policies and asset permissions, set up so a platform team can run them as the number of teams grows.
What I focus on
Mainframe & Legacy Migration
Moving data off the mainframe and onto a cloud platform as part of a wider transformation, without losing sight of what the business relies on.
Metadata-Driven Pipelines
Building frameworks where pipelines are defined by metadata, so new data is delivered consistently and at scale instead of hand-built each time.
Bridging Tech and Stakeholders
Turning architecture decisions into something engineers and business stakeholders can both act on, which is where large programmes often stall.
Selected work
All case studies →Financial services2025 — Present
Mainframe-to-Cloud Migration & Metadata-Driven ETL for a CSD
Data Engineer, Data Services · Central Securities Depository (CSD)
Data Engineer in the Data Services team on an ongoing Nordic transformation for a Central Securities Depository (CSD). The work moves mainframe data to the cloud and builds a metadata-driven ETL framework to deliver migration and data pipelines consistently across a large estate.
Pharma2024 — 2025
Databricks Platform Governance for a Global Pharma Programme
Databricks SME · Global pharmaceutical company
Served as the Databricks subject-matter expert within a large Nordic transformation programme for a global pharmaceutical company. Worked across engineering and stakeholder groups to shape platform architecture and the operating practices needed to govern it at scale.
Engineering & infrastructure2021 — 2023
Databricks Platform for an Engineering & Infrastructure Consultancy
Tech Lead, Capgemini (Oslo) · Large engineering and infrastructure consultancy
Built an Azure Databricks platform for a large engineering and infrastructure consultancy, then connected operational and finance data to reporting used across the business.
Recent writing
All posts →data-engineering
Spark Partitioning — The Difference Between a 3-Minute and 3-Hour Job
Understanding shuffle partitions, data skew, and when to repartition versus coalesce.
Sep 11, 20244 min read
data-engineering
dbt Testing That Actually Catches Bugs
Moving beyond not_null and unique to tests that reflect your actual data contracts.
Jun 18, 20243 min read
data-engineering, databricks
The Medallion Architecture — Structuring Your Delta Lake for Scale
How to design a bronze, silver, gold lakehouse that stays maintainable as your data and team grow.
Mar 4, 20243 min read