Data engineer working across AWS, Snowflake, Python and SQL. I found the cause of a months-old ingestion failure at a global asset manager, built a Snowflake warehouse from scratch, and turned a nonprofit's four disconnected spreadsheets into one live analytics platform.
Experience
Financial services, government and community organizations, each with a real production problem to solve.
Darwin, NT, Australia
Built a not-for-profit's first analytics infrastructure, moving four disconnected systems into one cloud database serving an ACNC-registered community centre.
Melbourne, VIC, Australia
Collected 2026 Census data face to face for people less likely to use the standard online process, under strict privacy and data-quality procedures.
Hyderabad, India
Owned daily ingestion pipelines for global fund ratings data at Principal Global Asset Management, and found the root cause of a months-old production failure.
Selected work
From raw ingestion to a warehouse to something a person actually looks at, end to end.
Personal / Portfolio project
Problem
APRA publishes superannuation performance data as unversioned Excel filings, with no API and no easy way to compare funds over time.
Key result
Weekly pipeline runs unattended end to end, gated by dbt tests and CI, feeding a live 3-page Power BI dashboard.
Personal / Portfolio project
Problem
Backtesting a forecasting model on financial time series is easy to get subtly wrong: without point-in-time discipline, the model ends up training on information it wouldn't have had yet.
Key result
A clustering key fix cut partitions scanned on date filters by roughly an order of magnitude, and Time Travel snapshots kept lookahead bias out of every backtest.
Personal project
Problem
Producing a newsletter and a companion video from breaking news end to end usually means a person doing research, writing, narration and publishing by hand, every single cycle.
Key result
The workflow runs from trigger to published newsletter and video with no manual step, and recovers from failures instead of stopping cold.
Technical stack
Core stack is AWS, SQL, Python and Snowflake. Everything else here is what rounds it out depending on the problem.
Certifications
AWS Certified Developer – Associate
Amazon Web Services
SnowPro Core Associate
Snowflake
Azure Fundamentals (AZ-900)
Microsoft
Azure DevOps Engineer Expert (AZ-400)
Microsoft
Power BI Data Analyst Associate (PL-300)
Microsoft
dbt Analytics Engineering Certification
dbt Labs
Tableau Desktop Specialist
Tableau
GitLab CI/CD Certification
GitLab
About
I'm a data professional based in Melbourne, working across financial services, government and community organizations. My background is building the full stack: ingestion pipelines, cloud warehouses, transformation layers, and the dashboards and models that sit on top of them.
At Principal Financial Group I found the root cause of an ingestion failure that had blocked a team for months, an unpaginated S3 listing call that silently stopped at 1,000 objects. Since then I've built a Snowflake warehouse from scratch over five years of market data, automated a weekly AWS and Airflow pipeline over APRA's public superannuation filings, and set up a not-for-profit's first analytics infrastructure, moving four disconnected systems into one cloud database serving 800+ members.
More about meContact
Open to data engineering, analytics and AI engineering roles in Melbourne, Sydney, Brisbane, Adelaide, Darwin or Hyderabad, and open to relocating any time. The fastest way to reach me is email, I usually reply within a day.