Data Integration & Pipelines
Reliable pipelines from your SaaS tools, product and databases into one warehouse.
Airflow-orchestrated ELT/ETL pipelines that move data from SaaS, product and database sources into your warehouse — built for freshness, scale and easy maintenance, with dbt models, tests and monitoring so every run stays transparent.
How we work
- 01
Map what you actually have
We inventory every source feeding a report today — including the spreadsheet someone maintains by hand — and establish which ones a decision depends on.
- 02
Build the ingestion layer
Sources land in your warehouse on a schedule appropriate to how the data is used. Hourly where it matters, nightly where it doesn't, so you aren't paying for freshness nobody reads.
- 03
Model and test
Raw tables become documented dbt models with tests on the assumptions that would otherwise fail silently — uniqueness, referential integrity, accepted values.
- 04
Instrument and hand over
Alerting on freshness and row-count anomalies, plus documentation your team can act on. A failed run should reach you before it reaches the CFO.
What changes
- One place where a number can be looked up, rather than four that disagree
- Failures surface as alerts rather than as questions in a Monday meeting
- New sources take days to add, not a re-architecture