Nyan Lynn Tun
Available for data engineering roles & consultingData engineer with technical depth and business understanding.
6+ years building data platforms on Azure and Databricks: lakehouse architecture, dimensional modelling, dbt pipelines and SAP integration. I work with the business to understand what the data needs to answer, then build models and pipelines that answer it.
Based in Myanmar · remote · UTC+6:30
Selected work
Projects I have designed and built end to end. Most client work sits in private repos, so these are the pieces I can show.
jobnet-lakehouse
An end-to-end medallion lakehouse that turns scattered Myanmar job postings into a clean, queryable view of the hiring market — scraped weekly, governed, and served through a dashboard.
dbt Core on Databricks
A medallion e-commerce pipeline on a Databricks SQL Warehouse — bronze, silver and gold layers, source tests, PII tagging and SCD Type 2 snapshots for product history.
What I help with
Lakehouse architecture
Medallion layering on Databricks and Azure, governed with Unity Catalog, with raw and modelled data kept cleanly apart.
Pipelines & data modelling
Dimensional models and dbt pipelines with tests and contracts on every model, so the numbers hold up when someone asks.
SAP data integration
Getting SAP data out of the source system and into a shape the business can actually query and report on.
About
Six years of making messy data useful.
Data arrives somewhere inconvenient, four teams need it in four shapes, and nobody agrees on what a customer is. The tooling is rarely the hard part — the modelling is, and the discipline to keep raw and modelled data from bleeding into each other.
I've moved the same star schema across three engines. A clean model outlives the platform it was built on — that's where I put the effort.
Have data that needs to be right?
Open to data engineering roles and consulting on pipelines, lakehouse architecture and data reliability. Let's talk.