Heryanto Lee, founder
Heryanto has spent more than 13 years building and running data platforms for banks, fintech and SaaS companies, most recently as Group Head of Data and AI at a digital bank. He founded Nadi to give Australian companies that level of experience without hiring a full-time head of data.
Experience
- 2025 – now
Data Consultant
Data consultancyData consulting for a major Australian bank.
- 2021 – 2025
Group Head of Data and AI
Listed digital bankLed the design and build of the bank's cloud-native data platform from scratch on Google Cloud: more than 10 PB of data and over 3 million customers.
- 2020 – 2021
Head of Data and AI
B2B SaaS companyLaunched the company's first data product to support upsell, and its first customer churn prediction model. Platforms held more than 5 PB of data.
- 2017 – 2020
Data Engineering Manager
Southeast Asian super-appLed the build of a data platform on AWS for batch and real-time processing, with self-service ingestion, transformation and business-metric monitoring across multi-petabyte data.
- 2014 – 2016
Senior Data Engineer
Digital media and apps companyBuilt the company's cloud data platform and a subscription pricing model that contributed to revenue growth.
- 2012 – 2014
Data Engineer
Consumer finance companyDesigned and implemented an on-premise data warehouse using Kimball dimensional modelling.
At a glance
- Based in Melbourne, Australia
- Bachelor of Computer Science, Bina Nusantara University
- Banking, fintech, SaaS and consumer apps
- Platforms built from scratch and rescued
What this looks like in practice
Recent work Heryanto led or helped design. Clients are not named.
A whole bank's data platform for about US$10k a month
Designed and built a listed digital bank's entire data platform from scratch. It now serves the whole bank for around US$10k a month, about 0.2% of revenue.
Sensitive data, safely in the cloud
Helped design the security layer that lets a major Australian bank analyse sensitive customer data in the cloud. Without it, only a minority of the bank's use cases could move to cloud and capture the cost savings.
Hands-on stack
Tools Heryanto has used in production, not just read about.
Cloud
Google Cloud (BigQuery, Composer, Dataform, Datastream, Pub/Sub, Cloud Run), AWS (S3, Glue, Athena, EMR, RDS)
Processing
Python, SQL, Spark, Presto, Kafka, Debezium
Orchestration and modelling
Airflow, dbt / Dataform, Kimball dimensional modelling
Engineering
Git, CI/CD, Docker, Kubernetes
Why Nadi
Nadi means "pulse". A healthy data platform has a steady one: data arriving on time, costs under control, numbers people trust.
We started Nadi because we kept seeing the same pattern: companies paying more each month for data platforms that grew more fragile, while the people who built them had moved on. Most of these problems are fixable in weeks, not years, once someone experienced takes ownership. Heryanto leads every engagement himself, bringing in senior engineers from his network when a project needs more hands.
What we believe
- Part of our fee should depend on results. That's why we use base-plus-success pricing.
- Simple beats clever. The best platform is the cheapest one your team can run confidently.
- You should own everything. Your accounts, your code, your documentation. No lock-in.
- Tell the truth early. If you don't need us, we'll say so on the first call.
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