Summary
Daniel Ko is a Python-focused data engineer with nine years' experience designing and operationalising ELT pipelines and developer tooling for large enterprises. Based in Wellington, he has led automation projects at ANZ that slashed development times from days to minutes, reduced manual SQL errors, and turned developer setups into minutes-long onboarding flows. At Stats NZ he now builds Databricks-targeted data processing pipelines and architects CI/CD with Azure DevOps for complex, growing teams. He combines hands-on Python packaging, Docker and Linux ops with strong peer-review and mentoring experience, and has a track record of replacing fragile ML ideas with pragmatic data solutions that saved weeks of work. A former university tutor, he brings clear documentation and process-driven thinking to high-stakes data delivery.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Victoria University of Wellington