A data warehouse your analytics and AI can rely on
Modern data platforms on Snowflake, Databricks, and BigQuery built for analytics and AI.
What you get with Data Warehouse & Lakehouse
- Platform selection (Snowflake, Databricks, BigQuery)
- Data modelling and dbt transformations
- Ingestion from your sources
- Access control and cost controls
- Data quality tests
- Documentation and handover
Phases, timelines and what you receive
Discover
Source inventory, KPI definitions, data model
Build
Pipelines, warehouse and first dashboards
Model
Forecasts, ML models and alerts
Operate
Monitoring, new sources and reports
Get a plan for Data Warehouse & Lakehouse
A few fields, no sales script. We reply within 1 business day with next steps.
What we build with
Ways to work with us
Every project gets a written quote after a short scoping call.
Fixed-scope project
Clear scope and timeline. Scope agreed before code starts; change requests quoted separately.
Dedicated team / AI Pod
Evolving roadmap or AI systems in production. Monthly, scale up or down with notice.
Support & maintenance retainer
Live products that need fixes, updates, monitoring and small features each month.
Frequently asked questions
Straight answers on cost, timelines, ownership and data.
It depends on your data volume, team skills and existing cloud. We compare options on cost and fit before building.
Ready to talk about Data Warehouse & Lakehouse?
Book a short call with a senior engineer. No pitch deck, just a clear next step.
- We reply within 1 business day.
- NDA available on request
- You own all code from day one