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Data Health Check
An independent review of your data platform: cost, reliability, data quality and team. You get a prioritised list of fixes with estimated savings.
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Data engineering consultancy · Australia & Indonesia
Data platforms that cost less
Data platforms that cost less
and break less.
Nadi fixes slow, expensive and unreliable data platforms, and builds new ones properly the first time. For scale-ups and mid-size companies in Australia and Indonesia, with part of our fee tied to results.
Melbourne-ledSenior bench in JakartaBase fee + success feeAUD or IDR
Sound familiar?
Most of the companies we talk to have one of these problems, and often all three.
The cloud bill keeps climbing
Snowflake, BigQuery or Redshift costs grow faster than the business, and no one can say exactly why.
Pipelines break every week
Dashboards show yesterday's numbers, or the wrong ones. Your engineers spend their week firefighting instead of building.
No one trusts the numbers
Finance, product and ops each have their own version of revenue, so every meeting starts with an argument about the data.
Services
Start small. Pay for outcomes.
Every engagement starts with a fixed-price Health Check, so you know what's wrong and what fixing it is worth before you commit to more.
Fix
Data Rescue
Cut cloud data costs, stop broken pipelines and get dashboards people trust again. Part of our fee comes from the savings we deliver.
Learn more →Build
Data Foundations
Your first proper data platform: ingestion, warehouse, models and dashboards, built to grow without a rebuild in 18 months.
Learn more →Lead
Fractional Head of Data
Senior data leadership a few days a month: roadmap, hiring, vendor choices and keeping the platform healthy after we've built or fixed it.
Learn more →Why this matters now
Budgets are tight, AI projects need clean data, and waste is easy to miss.
29%
of cloud spend is wasted, according to organisations' own estimates.
Flexera State of the Cloud, 2026
US$12.9M
average yearly cost of poor data quality per organisation.
Gartner
2 days
a week that data engineers spend dealing with bad data instead of building.
Monte Carlo survey, 2022
How we work
Four steps, no long retainers
1
Free call
30 minutes on your stack, costs and pain points. If we're not the right fit, we'll say so.
2
Health Check
Two weeks, fixed price. A clear diagnosis and a costed plan you can act on with or without us.
3
Fix or build
Rescue or Foundations, with targets agreed up front and part of our fee tied to hitting them.
4
Hand over
Documentation, training and runbooks so your team owns it. Ongoing leadership is optional.
Why Nadi
Senior people, Australian accountability, Jakarta rates
- Senior engineers only. The person who scopes your project is the person who does the work.
- Outcome-based fees. A base fee plus a capped success fee, tied to savings, reliability or milestones.
- Two markets, one team. Melbourne-led delivery with a Jakarta bench means a lower blended rate for Australian clients and local presence for Indonesian ones.
- Vendor-neutral. No reseller deals. We recommend the cheapest tools that will do the job.
Who we work best with
Scale-ups and mid-size companies spending roughly A$10k+ (Rp 150 jt+) a month on their data platform, or about to build one.
Industries: fintech, multifinance, retail, e-commerce and consumer goods.
Get in touchFrequently asked questions
What does a data engineering consultant do?
A data engineering consultant designs, builds and repairs the systems that move and store your data: pipelines, warehouses, data models and the tooling around them. At Nadi we focus on two things: getting a first proper data platform in place, and fixing platforms that have become slow, unreliable or expensive.
How much does a data engineering consultant cost in Australia?
Senior contract data engineers in Australia typically charge A$750–1,400 a day. Our fixed-price Data Health Check starts at A$8,000. Larger engagements combine a base fee with a success fee tied to agreed outcomes, so part of our fee depends on results.
Do you work with companies in Indonesia?
Yes. We work with Indonesian scale-ups and mid-size companies in fintech, multifinance, retail and consumer goods, and we can quote and invoice in rupiah. Our engineering bench is based in Jakarta.
Which tools and cloud platforms do you work with?
We work with the common modern data stack: BigQuery, Snowflake, Redshift, Postgres, dbt, Airflow, Fivetran and Airbyte, on Google Cloud, AWS or Azure. We recommend tools based on your size and budget, not on partnerships.
Can you reduce our Snowflake or BigQuery bill?
Usually, yes. Most overspend comes from architecture rather than individual queries: full reloads that should be incremental, oversized warehouses, unused tables and duplicated pipelines. Our Data Rescue engagement targets these, and our success fee is a share of verified savings.
What is pay-for-performance pricing?
You pay a base fee that covers our costs, plus a success fee only if we hit outcomes agreed up front, such as a cost reduction, pipeline reliability or delivery milestones. The success fee is capped, so there are no surprises.
Not sure where to start?
Book a free 30-minute call. We'll tell you honestly whether you need us, and what we'd look at first.