Data Engineering
Analytics and ML rest on data infrastructure. We build pipelines that reliably deliver data from sources to the warehouse and keep the infrastructure clear, resilient and no more expensive than it needs to be.
What is included
- Data warehouse (DWH) or lakehouse design
- ETL/ELT pipeline development and orchestration
- Integrations with accounting, warehouse, CRM and other systems
- Data migration and moving warehouses to new platforms
- Load monitoring, speed and cost optimization
What you get
- Data from all systems in one warehouse
- Scheduled loads with failure control
- Documented architecture that can evolve
- Transparent infrastructure costs
Who it is for
Companies whose data is scattered across systems, whose loads fail or are done by hand, or whose warehouse can no longer handle the volume.
Let's discuss your task
Tell us about your situation and we will suggest a format for the first meeting, with no obligation.