Kaanha Techkt.
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Data Engineering & Analytics.

Pipelines you can trust — from messy spreadsheets to clean dashboards.

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.

FAQ

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.

Ready to talk

Let's start with
your problem.

Every engagement starts with a conversation — not a sales pitch. Tell us what is not working and we will tell you what we would do about it.