Vision
Geospatial technology has moved beyond the desktop into the world of cloud-native data engineering. The real value of location data emerges when it flows through containerized, distributed, event-driven pipelines — designed for reproducibility, cost transparency, and scale.
With 15+ years across utilities, environmental monitoring, land surveying, and product development, I bridge deep geospatial domain expertise with modern infrastructure to build bespoke solutions. Every engagement starts from first principles — understanding the data, the domain, and the decision it needs to support — then architecting something pragmatic, maintainable, and viable.
Disciplines
Data Engineering
Cloud-native data pipelines that harmonise heterogeneous geospatial sources into reproducible, cost-transparent flows. Idempotent and event-driven by default.
Development
Full-stack delivery of bespoke products. Backend APIs, React frontends, vector tiling, real-time integrations — from proof-of-concept to maintainable production code.
Geospatial modelling
Spatial data modelling and analysis — SDI catalogues, INSPIRE compliance, and bespoke modelling pipelines for land-use, environmental and network analyses.
Infrastructure engineering
Platform foundations — containerisation, orchestration, IaC, deployments. Reproducible from source, scaled where needed, deprovisioned without trace when not.
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Explore the site
- The Resume consolidates the engagement rhythm, role history, education, and technology stack.
- The Grids pages walk through individual grids (electric, fibre, rail, road, etc.) using open or reproducible mock data.
- The Technologies page covers the principles behind the stack and links to how this site is itself built — cloud-native, query-cached at build, served as static content from a Scaleway bucket.
- Company
- On The Grid Comm. V.
- VAT & business reg.
- BE0738663314
- Location
- Bierbeek (Leuven), Belgium
- tijs@onthegrid.be