Data Pipelines
ETL / ELT pipelines that ingest from products, ads, CRM, finance and third-party APIs.
ETL / ELT pipelines that ingest from products, ads, CRM, finance and third-party APIs.
BigQuery, Snowflake or Postgres warehouses with proper modelling and governance.
Executive dashboards in Metabase, Looker, Tableau or custom React — that people actually use.
A/B testing infrastructure, feature flags and product analytics with proper statistical rigour.
We pick the right tool for the job — and we maintain a deep bench across the modern stack.
Map your sources, current dashboards, KPIs and the questions nobody can answer.
Design the warehouse schema, dbt models and naming conventions before code.
Ship pipelines, models and dashboards in tight, demoable slices.
Access controls, documentation, lineage and SLA-monitored freshness.
Train your team. Hand over runbooks. Stay on call for the first 90 days.
Tools track events. A data platform answers strategic questions across product, finance, ops and marketing in one place.
A first executive dashboard ships in week 3–4. Full warehouse and BI suite typically in 8–12 weeks.
Yes — every engagement includes documentation, video walkthroughs and live training sessions for analysts and engineers.
We'll respond within 24 hours with next steps, scope and a written timeline — no slide deck required.