Geospatial data engineering — automated pipelines, spatial ETL, PostGIS databases, cloud processing and API integrations, end-to-end.

We build scalable geospatial databases and automate repetitive GIS work. From automations and scripts to cloud processing, workflows inside web applications and back ends, and end-to-end pipelines, we make spatial data flow without manual effort.
That includes automated data pipelines, geospatial ETL, database design, monthly data-update systems, API integrations and cloud-based spatial processing — built on Python, ArcPy, GeoPandas, PostGIS, SQL and Google Earth Engine.
Current data, sources and manual steps.
Schema, pipeline and update cadence.
Scripts, ETL, database and integrations.
Schedule, monitor and log.
Documented, maintainable system.
Yes — scheduled update systems are a core deliverable.
Yes — PostGIS/SQL database design from scratch or refactors.
Yes — cloud-based spatial processing, including Google Earth Engine.
Yes — we build processing into web apps and back ends.
Yes — from source ingestion to processed, ready-to-use outputs.
Tell us the area, the timeline and what decision the work has to support. We reply with a scoped approach, deliverables and a price band — no generic sales call.
Response within 24 hours — Mon to Fri
Let's talk about your specific needs.
We respond within 24h — based in Bucharest, active globally