Data Engineering & Automation
Geospatial data engineering — automated pipelines, spatial ETL, PostGIS databases, cloud processing and API integrations, end-to-end.
About this service.
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.
What we do.
How we work.
- 1
Audit
Current data, sources and manual steps.
- 2
Design
Schema, pipeline and update cadence.
- 3
Build
Scripts, ETL, database and integrations.
- 4
Automate
Schedule, monitor and log.
- 5
Hand over
Documented, maintainable system.
What you get.
Where the data comes from.
Who this is for.
- Teams processing recurring satellite imagery
- Enterprises migrating to cloud-native GIS
- Organizations with complex multi-source data feeds
- Companies needing automated reporting pipelines
Why Cartolytic.
- Spatial and software engineering expertise.
- Pipelines that run unattended and scale.
- Built on a real spatial database, designed properly.
Frequently asked questions.
Can you automate our monthly data updates?
Yes — scheduled update systems are a core deliverable.
Do you design spatial databases?
Yes — PostGIS/SQL database design from scratch or refactors.
Can you process data in the cloud?
Yes — cloud-based spatial processing, including Google Earth Engine.
Can automation live inside our web app?
Yes — we build processing into web apps and back ends.
Do you build end-to-end pipelines?
Yes — from source ingestion to processed, ready-to-use outputs.
Industries using this.
Ready to start a Data Engineering & Automation project?
Let's talk about your specific needs.
We respond within 24h — based in Bucharest, active globally