ETL pipelines and data warehousing for Australian businesses.
Custom ETL pipelines and data warehousing for Australian businesses who've outgrown live-API reporting and spreadsheet exports. We extract from your operational systems, transform the data into a clean warehouse, and hand it off to Power BI or Tableau for reliable, fast dashboards.
What a custom ETL and warehouse engagement covers
Source connectors
APIs, databases, CSV drops and SFTP feeds - connected and scheduled reliably.
Warehouse design
Star schemas, fact/dimension modelling and history preserved where it matters.
Incremental loads
No nightly full-table rebuilds - changes only, with proper watermark handling.
Retry & recovery
Failures are caught, retried and alerted - your pipeline survives ugly days.
Semantic layer
A clean, query-friendly schema so reporting tools consume it without pain.
Reporting automation
Scheduled refreshes, delivery and alerting - no more late-night CSV exports.
When a warehouse is the right tool
You need history
APIs often don't. A warehouse preserves change over time so trend reporting is honest.
Reports are slow
Live-API reports re-pull every refresh. A warehouse pre-computes the heavy lifting.
Multiple systems
Joining data across five tools live is painful. Joining in a warehouse is trivial.
Cost
API-based reporting services often cost more per month than a lean warehouse does once it's built.
ETL outcomes we've shipped
BI Sense
Daily full-refresh → near real-time. ~30× faster; 10-minute cadence; millions of rows.
Read the ETL & data warehousing case study → ArticleFrom daily reports to near real-time dashboards
A practical ETL approach for mid-size Australian operations.
Read the article → ArticleWhat a data warehouse buys a small business
Plain-language and ROI-framed - when it is worth it and when a spreadsheet is fine.
Read the guide →ETL and data warehousing - common questions
Often yes. Dashboard tools can query sources directly, but an ETL pipeline into a warehouse makes refreshes faster, cheaper and more reliable. See reporting automation for the reporting layer that usually sits on top.
SQL Server, Azure SQL, Postgres or MySQL depending on your environment and scale. We are pragmatic: the right tool for the job, not a vendor preference.
Yes. We extend what you have where it is sensible, or build a custom pipeline if off-the-shelf ETL is painting you into a corner.
API integration usually moves operational events between systems. ETL usually prepares larger historical datasets for analytics, dashboards and repeatable reporting. Many reporting projects need both.
Send us the source systems and the reports that keep breaking.
We'll come back with a practical ETL and warehouse plan.