Languages & Query
- Python
- SQL
- T-SQL
I spent nine years moving physical things through warehouses. Now I build the pipelines, models and quality checks that make those movements measurable.
Most data engineers learn logistics from a schema diagram. I learned it from a pallet truck.
I'm a data engineer specialising in logistics and supply chain analytics. Currently at Bestseller, building and maintaining ELT pipelines, dimensional models and data quality frameworks on Snowflake.
Before that, nearly three years at NORMAL A/S implementing a WMS for a brand new distribution centre: workflows, ERP integrations, operational dashboards, and a go-live. And before that, four years actually running inbound and internal transport at a high-volume DC.
So when a fact table says a pick took eleven minutes, I know what those eleven minutes looked like on the floor. That's the part that's hard to hire for.
GET IN TOUCHThe crate nobody else on the shortlist is carrying.
Bestseller A/SAarhus, DK
NORMAL A/SHorsens & Hedensted, DK
NORMAL A/SHorsens, DK
Pallet transport and internal warehouse logistics. The job that turned into the WMS implementation role at the same company.
REMA 1000 DanmarkHorsens, DK
Inbound logistics and internal transport at a high-volume DC. This is where the intuition for logistics data was built.
T-Systems SlovakiaKošice, SK
Development internship during 5th semester.
End-to-end Snowflake analytics pipeline over parcel tracking data. ELT design, dimensional modelling and analytics engineering patterns lifted straight from production logistics work, minus the NDA.
→ THE REST OFHiring for logistics, supply chain or retail data?
mail@dominikhurcik.com