ENVU
Smart Weeding System
Uncontrolled vegetation causes damages, delays and safety issues for railways. ENVU’s Smart Weeding System uses weed detection technology to perform precision spraying of herbicides only where weed...
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Custom DevelopmentThe Infrastructure Behind
Data Engineering
The Infrastructure Behind
Reliable Location Data.
Spatial data pipelines, ETL workflows, and database architecture. Before you can analyze location data, someone has to make it clean, consistent, and queryable. That is what we do. We build the data layer that everything else runs on.
What We Deliver
The Data Layer Everything Runs On
Spatial ETL Pipelines
Automated workflows that ingest, transform, and load geospatial data from multiple sources into a unified format. Built to run on schedule without manual intervention.
Data Lake Architecture
Scalable storage designed for spatial data: Parquet files, partitioned by geography, queryable with SQL. Fast reads for analytics, low cost for archival.
Geocoding & Enrichment Services
Automated pipelines that add coordinates to addresses, attach demographic attributes, and link records to spatial boundaries. Turn raw business data into map-ready datasets.
API Endpoints
REST or GraphQL APIs that serve your spatial data to internal tools, partner systems, or public-facing applications. Documented, versioned, and monitored.
How We Work
Our Engineering Approach
We start by mapping your entire data landscape: what comes in, where it lives, how it moves, and who consumes it. This audit typically reveals redundant pipelines, undocumented transformations, and data that nobody trusts.
We design for maintainability first. Every pipeline is version-controlled, tested, and documented. If a developer who has never seen the project needs to debug it at 2am, the code should make that possible.
Everything we build is automated and observable. Pipelines run on schedule, alert on failure, and log every transformation. Your team monitors health from a dashboard, not by checking if a CSV appeared in the right folder.
Tools & Technologies
Our Stack
Python, DuckDB, PostGIS, Apache Airflow, Docker, AWS S3, AWS Lambda, GCP BigQuery, Azure Data Factory, Parquet, dbt
Selected Projects
Pipelines We Have Built
ThyssenKrupp Industrial Solutions AG
Supply Chain GIS and Data Visualization Tool
An automatic progress tracking solution for large construction sites using drone imagery, combining 3D geospatial datasets and artificial intelligence for smart, autonomous feature recognition and automated reporting.
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Your Project
Let's Build
It Together.
Tell us about your project requirements. We'll match you with the right specialists and outline a tailored approach, no commitment required.