Data & Analytics
Lakehouse on Iceberg or Delta, streaming that survives replay, and dbt models with tests that actually fail the build.
ic-data · warehouse / marts / revenue412 models · 34 / 34 tests · freshness 4m
Pipelines that turn events into decisions, not into a backlog.
From raw event streams to executive dashboards, we build the data substrate that lets your team move from opinion to evidence. Real-time, batch, semantic layers — wired into the tools your operators already use.
Lakehouse architecture (Iceberg / Delta)
Streaming (Kafka, Flink, Materialize)
Reverse ETL & semantic layer
Self-serve analytics enablement
Data quality contracts