Intelligent Data Platform
A layered warehouse and orchestration platform that turns raw operational data into governed, query-ready models.
Overview
Status: internal project. This page documents the engineering approach rather than a commercial outcome.
Operational data arrives from dozens of services with different contracts. This platform defines the boundary between raw, conformed and published data, so that every downstream report is built on a model with a single owner and a single definition.
Problem
When every team writes its own transformation logic, metrics drift apart and trust in the data collapses. The constraint was governance without slowing delivery.
Approach
Ingestion is contract-tested at the edge. A conformed layer enforces types, slowly changing dimensions and lineage. Transformations run in orchestrated DAGs with data quality assertions that block publication instead of failing silently.
Result
Analysts query published models with documented grain and lineage, and engineers can change upstream systems without silently changing what a dashboard means.