01
Data warehouses
Migration, modeling, and cost engineering. BigQuery, Redshift, Snowflake.
02
Analytics engineering
End-to-end pipelines, dbt modeling, and the semantic layer above them.
03
AI tooling for data teams
Claude, MCP, and agentic workflows built into how your data team actually works.
04
Self-serve data layers
Semantic models and LLM interfaces so business teams answer their own questions.