Hands-on engineering to modernize, optimize, and extend your data platform
Still running data warehouses that require more care and feeding than they deliver in value? We migrate your legacy infrastructure to modern, cloud-native platforms — handling the complexity, protecting data integrity, and keeping your business running throughout. The result is a platform that costs less to run and does more.
Already on a modern stack but not getting the performance or reliability you expected? We dig into the root causes — slow queries, runaway costs, fragile pipelines, missing monitoring — and fix them. Then we put the observability in place so problems get caught before your business does.
Raw data isn't useful. Modeled, tested, documented data is. Our analytics engineers work in dbt to build the semantic layer your analysts and AI applications depend on — with proper testing, version control, and documentation so your data models are assets, not liabilities.
The goal isn't a data platform — it's a business that runs on data. We build the dashboards, reports, and self-service analytics tools that put reliable data in the hands of every decision-maker in your organization, without requiring them to write SQL.
Certified across every layer of the data platform — from cloud infrastructure and data lakes to AI models and analytics