We build pipelines and warehouses that finance, product and leadership can all quote from — tested, documented, and cheap enough that nobody flinches at the query bill.
Modelled layers from raw to semantic, with tests and lineage.
CDC from production databases, SaaS connectors, and event collection.
Near-real-time pipelines for operational analytics and alerting.
Data contracts, PII classification, retention and access policy.
Semantic layers, dbt metrics, and self-serve dashboards teams trust.
Warehouses
Transformation
Movement
Consumption
Query patterns and existing cloud contracts usually decide this more than raw benchmarks.
| Option | Strength | Trade-off | Choose it when |
|---|---|---|---|
| Snowflake | Elastic compute separation, excellent sharing and governance. | Credit spend creeps without discipline. | Multi-team analytics with mixed workloads. |
| BigQuery | Serverless, no cluster management, strong GCP integration. | On-demand pricing punishes unbounded scans. | GCP-centric estates and event-scale data. |
| Databricks | Unified analytics and ML on open table formats. | Steeper learning curve; more knobs to tune. | Heavy ML and large unstructured datasets. |
| ClickHouse | Extremely fast aggregations at very low cost. | Fewer managed governance features; modelling is stricter. | Product analytics and user-facing dashboards. |
Experience
6+ yrs
Ramp
1 week
Experience
4+ yrs
Ramp
3–5 days
Experience
9+ yrs
Ramp
2 weeks
Tell us the outcome you want. We come back with a shortlist in about 48 hours and a squad shape that fits.