Service

Data Pipelines & ELT

Trustworthy data infrastructure: ingestion, transformation, modeling, and delivery into your warehouse.

If your dashboards show different numbers than your CFO's spreadsheets, you don't have a dashboard problem — you have a data pipeline problem. We design and build data infrastructure that produces a single source of truth and explains every number all the way back to the source event.

The stack

  • Ingestion: Fivetran, Airbyte, or custom CDC connectors for SaaS sources, databases, and event streams.
  • Warehouse: Snowflake, BigQuery, ClickHouse, or Postgres-based when scale doesn't justify a dedicated warehouse.
  • Transformation: dbt models with documented lineage, version control, and CI tests.
  • Reverse ETL: Census or Hightouch to push warehouse data back into operational tools.
  • Orchestration: Airflow, Dagster, or Prefect with SLA monitoring and incident response.

What you get day one

A data warehouse with documented schemas, dbt models for your core entities (customers, revenue, products), and automated freshness + quality tests. Plus a runbook so your data team can extend it safely.