Jonathan Gamble
Data Engineer
Old Toronto, Ontario, Canada
Summary
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SeniorJonathan Gamble is a Data Engineer with nine years of experience focused on building scalable, high-performance, cloud-based machine learning solutions. Currently at Hopper in Old Toronto, he specializes in turning data infrastructure requirements into reliable production pipelines that support ML workloads. He combines practical engineering with a performance-first mindset, optimizing systems for throughput and cost in cloud environments. Jonathan brings a pragmatic approach to data modeling, orchestration, and monitoring, ensuring models are reproducible and deployable at scale. Colleagues rely on him to bridge data science needs with production constraints, translating research ideas into operational services. Outside core responsibilities he gravitates toward performance tuning and infrastructure automation, which often yields disproportionate gains for teams.
9 years of coding experience
Github Skills (22)
pipeline9
kubeflow-pipelines8
machine-learning8
kubeflow8
data-science7
kubernetes7
kedro7
tekton7
mlops7
clip5
pytorch4
deep-learning4
bert4
nlp4
openai3
Programming languages (1)
Github contributions (5)
mrjgamble/K2DataScience
Sep 2017 - May 2018
Contributions:51 commits, 36 pushes, 1 branch in 8 months
mrjgamble/100daysofcode
Jun 2018 - Jul 2018
Contributions:7 pushes, 1 branch in 18 days
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