Steven Casey
Principal Engineer at Macquarie Group
Greater Sydney Area Australia
Summary
👤
Senior🎓
Top SchoolSteven Casey is a Principal Engineer with over 20 years of experience designing and delivering reliable, scalable systems across startups and large enterprises in industries from GIS and retail to finance and government. He combines hands-on backend expertise (Java, Python, Kafka, Spark, Elasticsearch, Airflow, AWS) with a track record of leading teams, shaping technical strategy, and mentoring engineers to solve real business problems. Steven has repeatedly moved into senior technical roles at major firms—Groupon, Amazon, eHealth, Macquarie—building data platform infrastructure for engineers, analysts, and data scientists. Known for pragmatic architecture and a focus on fault tolerance and test-driven design, he thrives on making complex data systems operationally robust. Based in Sydney and open to roles there, he would require E3 sponsorship for US positions. An unusual detail: his career spans both deep GIS/mapping work and modern data-platform engineering, giving him a rare cross-domain perspective on spatial and large-scale analytics systems.
14 years of coding experience
17 years of employment as a software developer
Bachelor of Computing Science, Computer Science, Bachelor of Computing Science, Computer Science at University of Newcastle-upon-Tyne
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (85)
python10
etl10
automation10
mlops10
multicast10
orchestration10
data-engineering10
ipc10
scheduler10
elt10
data-integration10
data-pipelines10
monitor10
data-science10
workflow-engine10
Programming languages (9)
Github contributions (5)
stevencasey/incubator-airflow
Apr 2018 - May 2020
Apache Airflow (Incubating)
Contributions:1 PR, 1 branch in 2 years 1 month
incubatingemrapachebig-dataspark
stevencasey/awesome-machine-learning-infrastructure
Apr 2018 - Jan 2019
A curated list of awesome Machine Learning frameworks, libraries and software.
Contributions:3 PRs, 9 pushes, 2 branches in 8 months
pythondata-sciencedeep-learningmachinelearningmachine-learning
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