Data Engineering
Data Platforms Built to Be Owned, Not Endured
Lakehouse architecture, pipeline engineering, migrations, and governance.
Across any data stack, delivered by dedicated teams.
Every growing company hits the same wall: pipelines nobody wants to touch, costs that climb every quarter, a migration that's been "next quarter" for two years. We take ownership of data platforms, building them, migrating to them, and running them, with teams that stay past the go-live date.
What We Build
Build greenfield data platforms
Migrate legacy warehouses
Migrate existing pipelines
Modernize ETL and ELT
Pipeline orchestration
Pipeline testing
Cost and performance audits
Built for Long-Term Ownership
Governance from day one
Migrations without breaking business reports
ETL and ELT modernization with orchestration and testing
Cost and performance audits that usually pay for themselves within the first quarter
How We Work
Every engagement is staffed as a dedicated data team.
Engineers embedded in your rituals
Shipping on your board
A cost structure that makes long-term platform ownership viable instead of a luxury
Frequently Asked Questions
Can you work alongside our existing data team?
That's the most common model. We extend your capacity and transfer knowledge as we go. The goal is your platform, run confidently by your people.
Our migration is stalled. Can you take over?
Yes. We start with a two-week assessment of what's built, what's broken, and what it will honestly take to finish.
Which data stacks do you cover?
All the major cloud data platforms, warehouses, and pipeline frameworks. Tell us your stack; we field the team.
What we Build for you
Digital Experience
Websites, CMS platforms, and headless builds on any platform delivering reliable, fast, production-ready digital experiences.
AI & Automation
AI agents and document automation built on your data. Production systems, real edge cases, fully owned by your business.
Data Annotation
Training AI models? Our human annotation and QA teams label your data end-to-end at 95%+ accuracy.