Four domains — operating as one unified system.
Each service can be engaged independently (audit, pilot, full build) or combined into one end-to-end stack. Pricing is retainer- or fixed-scope based; there's no "outsource by the hour" model.
Data Analytics
ETL/ELT pipelines, data warehouses, BI dashboards — turning raw data into actionable insight in weeks, not quarters.
- ▸ELT with dbt, Airflow, Dagster — versioned and testable
- ▸Data warehouse: BigQuery, Snowflake, ClickHouse
- ▸Dashboards: Superset, Metabase, or custom React
- ▸Data contracts between teams — schema registry
- ▸Self-service analytics for business teams
Three ways to work together.
Pick the model that fits a focused need or a long-term roadmap. Every engagement starts with a free 30-minute discovery call.
From discovery to the optimization loop.
Discovery
30-minute call → 1-day workshop → technical audit. Output: a risk map and a clear scope.
Build
2-week sprints, demo at the end of each. Cross-review, CI/CD from day one — no end-of-project “code dump.”
Automate
Bringing the system to production: monitoring, alerting, runbooks, training for the in-house team.
Evolve
A weekly feedback loop. Retrain models, A/B test features, quarterly review.