We design and build the data foundations that everything else depends on — ingestion, transformation, storage, and governance.
Most teams come to us in one of three situations: their existing pipeline can’t keep up with the data volume, they’re moving from a startup-grade stack to something that needs to support analytics and ML, or they have data spread across systems that nobody trusts.
What we typically deliver
- Ingestion pipelines (batch and streaming) that handle real production volume
- Warehouse and lakehouse design (Snowflake, BigQuery, Databricks, Iceberg)
- Transformation layers built with dbt, Spark, or your existing tooling
- Data quality, observability, and lineage so the team can trust what they’re querying
- A handoff plan so your engineers own the system after we leave
Who this is for
Engineering teams that have outgrown their first data setup and need someone who’s done this at scale before. Series B to mid-market is our sweet spot.