Data Engineering & ETL
Build pipelines your reporting and operations can trust.
We build ETL pipelines for real production constraints: inconsistent source data, late-arriving updates, schema drift, and downstream reporting deadlines. Typical stacks include SQL Server, PostgreSQL, and API/file ingestion with validation at each stage.
We define lineage, rejection handling, and alerting so data quality issues are visible before they reach executive dashboards or operational workflows.
✓Ingestion from databases, APIs, files, and SaaS systems
✓Schema mapping, data cleansing, and validation rules
✓Batch scheduling and near-real-time pipeline orchestration
✓SQL Server to PostgreSQL migration workflows
✓Data warehouse and operational store loading patterns
✓Lineage, reconciliation, and data quality alerting
✓Backfill and replay strategies for historical correction
✓Stable outputs for BI dashboards and downstream services