Make it better
Data Engineering & Analytics
Pipelines you can trust - from messy spreadsheets to clean dashboards.
From a 14-year-old Excel workbook to a clean Postgres + dbt + dashboard layer, with zero downtime. We have done this enough times to make it boring - and boring is what you want from your data infrastructure.
The problem
Your data is scattered across spreadsheets, SaaS exports, and someone's desktop. Reports take hours to compile, the numbers never quite match between systems, and the one person who understands the master spreadsheet is about to go on leave.
What we build
Modern data infrastructure for businesses that have outgrown Excel:
- Data warehouse setup - Postgres, BigQuery, or Snowflake depending on your scale
- ETL / ELT pipelines - automated data ingestion from your source systems
- dbt transformations - business logic as tested, versioned SQL
- Dashboard layer - Metabase, Looker, or custom dashboards that update automatically
- Spreadsheet migration - the careful, parallel-run migration from Excel to a real database
- Data quality monitoring - automated checks that catch problems before your team does
Pricing
Data projects typically range from AUD 15,000-80,000 depending on the number of source systems and the complexity of the business logic. Spreadsheet migrations are usually on the lower end; full warehouse builds are on the higher end.
Common questions
- Can you migrate our Excel workbooks without losing anything?
- Yes - we run the new system in parallel with the old one until every number matches. No big-bang cutover, no surprises.
- Do we need a data warehouse if we are small?
- Not always. Sometimes a well-structured Postgres database and a Metabase instance is enough. We scope to your actual needs, not to what sounds impressive.
- What about real-time data?
- We build real-time pipelines when the use case justifies it - sensor data, live dashboards, streaming analytics. But most businesses need reliable daily batches first.