Platform work
Platform work
Data platform modernization
Legacy SQL / ETL stacks moved onto Databricks or equivalent lakehouse.
Cloud data architecture
Azure, AWS, Databricks, Unity Catalog, Entra-integrated security.
Semantic layer
and BI Body
Databricks metric views and Microsoft Fabric semantic models. Certified datasets.
Automated workflows
Recoverable pipelines, dynamic schema detection, audit-ready job history. Less manual intervention every time the data flows.
AI agents
Targeted AI capabilities embedded into the platform - surfacing exceptions, classifying data, drafting reports against trusted sources.
Infrastructure as Code
Terraform-deployed environments. Redeploy from version control, reproducibly.
Get off the old stack that’s slowing you down, without a rip-and-replace gamble.
A foundation built to last and to hand over, not one only we can operate.
One trusted definition of every metric, so the whole business reports the same numbers.
Stop moving data by hand. Pipelines that run themselves and recover when they break.
Put AI to work on real tasks, with your data and your guardrails, not a science project.
Rebuild your whole environment the same way every time. No heroics, no drift.
