Who this works for.
- Companies with data scattered across 10+ tools
- Teams making decisions on stale spreadsheets
- Reporting that takes hours instead of seconds
Every Australian engagement comes with these foundations.
Source connectors
Fivetran, Airbyte, or custom: pull from every system that matters.
Warehouse setup
Snowflake, BigQuery, or Redshift. Sized to your scale, partitioned for cost.
dbt models
Tested, documented, version-controlled transformations.
Dashboards
Looker, Metabase, Mode, or Superset. Set up so your team can self-serve.
Reverse ETL
Hightouch or Census to push warehouse data back into Salesforce, HubSpot, etc.
How a data pipelines engagement actually runs.
Deliverables.
- Working warehouse with all sources
- dbt project documented and tested
- Set of canonical dashboards
- Data dictionary
Tools we use.
We're stack-flexible. If your team already runs on something different, we'll match it.
Three engagement sizes. One fixed price for each.
Quotes from three matched Australian developers come with their own pricing in AUD. These ranges are what most projects land on.
Warehouse + 3 to 5 sources + first dashboards.
- 3 to 5 sources
- 10 to 15 dashboards
- 4 weeks
- Training session
Full data stack with dbt, reverse ETL, and team training.
- 10+ sources
- dbt project
- Reverse ETL
- Quarterly review
Custom data platform with real-time, ML features, or compliance needs.
- Real-time pipelines
- Custom infra
- Data contracts
- Embedded analyst