Work
Retail, manufacturing, telecoms, fintech, insurance and public statistics, across Sweden, Denmark, Australia and Sri Lanka. Nearly all of it comes down to the same thing: something important is trapped in a system nobody wants to touch, and it needs to come out safely.
I describe clients rather than naming them. Naming who you worked for is a habit I would rather not have. If you need specifics for a hiring conversation, just ask.
The route here
2015 to 2018
Mobile and desktop applications for an insurer. Learned to ship, and learned that the data these apps produced was nobody’s job to look after.
2018 to 2020
Moved into the pipelines. ETL, warehousing, and the unglamorous plumbing that decides whether anyone can answer a question.
2020 to 2022
Built and deployed predictive models, including real-time scoring that ran during a live customer conversation.
2022 to 2024
Led data science verticals. Forecasting, anomaly detection, and cloud migrations at telco and retail scale.
2024 to now
Retrieval and agent systems on governed data, conversational analytics, and the architecture underneath them.
Assignments
Tech Lead, Data Engineering
Supply chain · Dec 2025 to present
via Knowit
Leading the retirement of a legacy Oracle estate and rebuilding the downstream logic on a Databricks lakehouse with a medallion architecture. Reconstructing the Silver layer in Databricks and dbt, writing tested SQL workflows, and reconciling old against new until the business trusts the numbers enough to switch the old system off.
AI Engineer
Transport logistics · May 2025 to Nov 2025
via Knowit
Built a production conversational analytics agent and put it inside Microsoft Teams, so a global organisation could ask questions of transport logistics data without knowing SQL. Designed the Gold layer with materialised views and PySpark pipelines, and tuned answer quality through prompt engineering and semantic modelling.
Senior Data Engineer
Manufacturing · Dec 2024 to Nov 2025
via Knowit
Data integration and platform modernisation on Microsoft Fabric. Migrated legacy SSIS transformations to materialised lake views, built sustainability fact tables in PySpark, and rebuilt the ERP ingestion with dynamic range partitioning and incremental loading.
Data Engineering Consultant
Public sector · Apr 2025
via Knowit
Hands-on consultancy with an internal engineering team: unpicking integration problems, clearing ETL bottlenecks, and coaching them through the practices that stop the same blockers returning.
Senior Data Engineer
Hospitality · May 2024 to Dec 2024
via H One
Replaced a manual extraction process with engineered pipelines, turning hand-operated reporting into automated workflows and cutting how long management waited for their numbers.
AI Engineer
Financial reporting · May 2024 to Jul 2024
via H One
A generative AI assistant for interrogating annual reports in natural language. Azure infrastructure, React front end, retrieval-augmented and agentic architecture over financial documents.
Associate Tech Lead, Data Engineering
Fintech · Mar 2023 to Mar 2024
via Axiata Digital Labs
Migrated a national mobile payments platform from on-premises infrastructure to AWS, and built the pipelines behind real-time transaction monitoring and anomaly detection for fraud prevention.
Senior Data Engineer
Telecoms · Aug 2023 to Mar 2024
via Axiata Digital Labs
Automated audit and compliance reporting that had been assembled by hand, moving on-premises sources to cloud and feeding the analytics layer from scheduled pipelines.
Senior Data Engineer
Telecoms · Mar 2023 to Aug 2023
via Axiata Digital Labs
Aggregated spend across four cloud providers into a central lakehouse and forecast it with predictive models, so cost management could happen before the invoice arrived.
Senior Data Engineer
Automotive · Jun 2022 to Jan 2023
via 3rive Technologies
Pipelines behind one of Australia’s largest spare-parts catalogues, handling large unstructured datasets of vehicle identification numbers and part specifications.
Data Scientist & Data Engineer
Retail · Jan 2023 to Mar 2023
via 3rive Technologies
Regional sales analytics and demand forecasting, modelling store-level performance so inventory planning could stop being guesswork.
Data Engineer, then Data Scientist
Insurance · Apr 2016 to Jun 2022
via Softlogic Life
Six years building an insurer’s data infrastructure: actuarial and financial datasets, database integration for extraction and cleaning, and a real-time churn model that let advisers see customer lifetime value during the first consultation.
Off the clock
Six job boards scraped each morning, deduped against a database, every new posting scored against a CV by a language model, then delivered as one grouped email. If the model is unavailable the posting still goes through, flagged for a human, because a missed job is worse than a missed score.
Three housing platforms polled through the day, hard-filtered down to the places actually worth applying for, alerted exactly once each. The filtering is the valuable part, because most listings are unwinnable and saying so saves the reader the trip.
A static site deployed from GitHub on every push. No CMS, no database, no monthly bill, and a console you can actually type into.