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Data

Data engineering on Snowflake and Databricks

AI is only as good as the data under it. We build and fix the pipelines, models and governance on Snowflake and Databricks so your dashboards are trusted and your AI has something real to read.

Book a callA migration or new platform in 6 to 12 weeks. Cost tuning engagements in 2 to 3 weeks.

What you get

  • Snowflake and Databricks setup, migration and cost tuning
  • Ingestion from your SaaS tools, databases and event streams
  • dbt models with tests, documentation and lineage
  • Lakehouse design with Delta Lake or Iceberg
  • Feature stores and vector data for AI workloads
  • Governance, access control and cost monitoring

How we do it

We start with a cost and lineage audit. It takes two weeks and it almost always pays for itself.

Questions about this

Snowflake or Databricks?

Snowflake for analytics-first teams who want simplicity. Databricks when you have heavy Spark, ML or streaming workloads. We work on both and will say which fits.

Can you cut our warehouse bill?

Usually yes. Most teams we audit save 20 to 40 percent from query, clustering and warehouse sizing fixes within a month.