Phase 2: Pipeline Build
Automation Pipeline Build & Implementation
We design and implement production-ready automated geospatial pipelines. Transform manual workflows into cloud-native automation, deploy to cloud platforms, set up orchestration and monitoring, and train your team to operate everything.
What We Build
Cloud-Native Architecture
- Databricks Spatial SQL / AWS / Azure stack design
- S3/Blob storage with COG and GeoParquet
- Serverless processing with Lambda/Functions
- Infrastructure as code (Terraform)
Automated Pipeline Build
- Python-based automation pipelines (GeoPandas, Rasterio)
- Workflow orchestration (Airflow, Prefect, Databricks)
- Data format optimization (PostGIS, GeoParquet, COG)
- Performance optimization (10-100x faster)
Integration & APIs
- REST APIs for pipeline triggers
- Integration with existing systems
- Data ingestion automation
- Result delivery automation
DevOps & Operations
- CI/CD pipelines (GitHub Actions)
- Monitoring and alerting
- Documentation and runbooks
- Knowledge transfer to your team
Ready to Automate Your Workflows?
Start with a workflow audit to identify automation opportunities, then we'll build production-ready pipelines tailored to your needs.