Services / Data Engineering
Data Engineering
We build data pipelines, warehouses and lakehouse platforms that give enterprises a dependable foundation for analytics and AI. That includes ingestion from ERPs, IoT devices and operational databases, transformation layers with tested logic, and governance so teams can trust the numbers.
What we do
- Batch and streaming ingestion (Kafka, Event Hubs, CDC)
- Warehouse and lakehouse builds on Azure Synapse, Databricks and PostgreSQL
- dbt-style transformation layers with tests and documentation
- Data quality rules, lineage and cataloguing
- Migration from legacy ETL and on-prem warehouses
Engagement models
Data platform assessmentGreenfield platform buildPipeline modernization
What you get
- Single, governed source of truth for reporting and ML
- Pipelines with alerting, retries and documented ownership
- Reduced manual reporting effort across business teams