Cloud & Data
Scalable, governed pipelines that AI can actually use
Modern AI runs on modern data. We design and build data platforms — lakehouses, streaming pipelines, governance — that are fast, reliable, and ready for AI workloads on day one.
What we deliver
Pragmatic lakehouse designs on Snowflake, Databricks, or BigQuery — with open formats and clean separation of compute and storage.
Real-time data delivery for the workloads that need it — without forcing every pipeline to be streaming.
dbt-first transformation layers with the testing, documentation, and lineage that make analytics trustworthy.
Cataloging, lineage, classification, and quality monitoring — built in, not bolted on.
How we work with you
Three typical ways we engage on data engineering — adapted to your scope, timeline, and team.
Target architecture, tooling decisions, and a build roadmap.
Production lakehouse with ingestion, modeling, quality, governance, and a first set of consuming workloads.
Run the platform: pipelines, quality, governance, cost.
Tools & technologies
We work with industry-standard tooling and open standards — no proprietary lock-in.
Let's talk
Share the shape of your initiative and we'll respond within one business day with a tailored point of view — and the names of the senior people who would lead the work.
