LW
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Sydney · Australia

Liam Wynne

AI / Data Engineer

Civil engineer turned AI Engineer. I build AI and data systems on operational data — pipelines, models, dashboards, agents — and translate them for the business users who rely on them.

Work

AI / Data Engineer

John Holland Group

2022—present

  • Built ERD Studio, an open-source app that leverages AI for developing data engineering pipelines — cut data-pipeline delivery from five months for a whole team down to two weeks for one engineer with AI.
  • Designed full-stack data workflows across AWS, dbt, Databricks and Power BI — ingestion, transformation, modelling and reporting.
  • Modelled data with bronze / silver / gold architecture for aggregated, scalable datasets.
  • Built high-performance DirectQuery KPI dashboards in Power BI — raw operational data to executive summaries with minimal latency.
  • Automated Power BI measure generation with LLMs, cutting report maintenance time.
  • Shipped CI/CD pipelines (GitHub Actions) for dbt and BI deployments.
  • Deployed MLflow pipelines for classification — continuous training and model governance.
  • Built a Retrieval-Augmented Generation pipeline with vector search on Delta Live Tables for an enterprise chatbot.
  • Engineered ML pipelines for Tunnel Boring Machine analytics on AWS Glue, SageMaker and Airflow — telemetry to insight.

Systems Engineer

John Holland Group — Sydney Gateway

2018—2022

  • Systems Lead on the Sydney Gateway construction project.
  • Built and rolled out Microsoft Power Platform tooling (Power Apps, Power BI, Power Automate, SharePoint) across the site.
  • Digitised manual workflows and trained the team on the new systems.
  • Administered the project's quality software (PPW) and produced project analysis for decision-making.

Site Engineer

CPB Contractors — WestConnex New M5

2015—2018

  • Site Engineer on Stage 2 of the New M5 motorway tunnel.
  • Ran site setup, decline excavation and structural steel install at Arncliffe.
  • Owned daily reporting, program updates, cost forecasting and material procurement.
  • Interfaced with designers and supervised the field workforce.

Stack

Claude Code
agentic development
Databricks
lakehouse
dbt
transformation
AWS
glue, sagemaker, airflow
Power BI
analytics
MLflow
model ops
GitHub Actions
ci / cd
Python, SQL
daily

Open source

ERD Studio

vs code extension · open source

A visual ERD designer for dbt. Design your data warehouse on a canvas, inside your repo, where your AI assistant can read it. Compresses data-modelling work that typically takes data engineering teams five months into about two weeks.

Education

2018—2020

Master of Computer Science

University of Wollongong — AI & Big Data

Distinction

2011—2014

Bachelor of Civil Engineering

University of Wollongong

First-class honours

Contact

Phone
•••• ••• •••
Location
Sydney, Australia
GitHub
liam-machine
References on request