Phil Steinke
Data Engineer
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolPhil Steinke is a data engineer and former front-end developer with over a decade of experience turning messy datasets into actionable insights for government and industry. Currently at Austrade, he engineers cloud-native data pipelines and optimizes trade index models while migrating critical data workloads from on-prem to Azure. A lifelong technophile with a recent Masters of Analytics from RMIT, he blends strong programming chops, forecasting and visualization skills with an analytical mindset rooted in philosophy. Known for “making data handsome,” Phil thrives in collaborative teams and brings a rare mix of front-end polish and back-end data engineering discipline to complex analytics problems.
11 years of coding experience
Masters of Analytics, Machine Learning, HD, Masters of Analytics, Machine Learning, HD at RMIT UniversityCertificates of Commerce, Management, Marketing, Economics, Philosophy and Spanish, Certificates of Commerce, Management, Marketing, Economics, Philosophy and Spanish at University of WollongongUNSW Sydney
Stackoverflow
736reputation
116kreached
26answers
3questions
Github Skills (200)
atom-editor10
material-ui10
browser10
jupyterlab-extension10
zsh10
php10
bash10
jupyterlab10
graphql10
zero-configuration10
messenger10
javascript10
jupyter-widget10
shell10
cli10
Programming languages (20)
Github contributions (5)
tgrrr/cookiecutter-data-science-r
Sep 2020 - Oct 2021
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Contributions:17 commits, 5 pushes, 6 branches in 1 year
standardizedpythonsciencedata-preprocessingdataframes
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