Stefanie Mikloska
Member Of Technical Staff at Databricks
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolStefanie Mikloska is a data and infrastructure engineer with 12 years of experience building large-scale, cost-conscious data platforms across companies like Databricks, Spotify, and Shopify. She specializes in distributed data pipelines (Scio/Dataflow, Flink on Kubernetes), BigQuery validation, and platform work that has reduced costs and ensured compliance for regulated workloads. At Spotify she moved significant workloads off Dataflow to a Flink/Kubernetes platform, cutting costs while meeting ITGC requirements, and built a Go-based metric aggregator to scale monitoring. Trained in computer science at the University of Waterloo, Stefanie blends strong engineering discipline with applied math instincts and a practical focus on observability, data quality, and privacy-conscious pipeline design. She’s based in Old Toronto and brings hands-on experience mentoring engineers and driving migration projects that balance performance, cost, and compliance.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Mathematics Computer Science, Bachelor of Mathematics Computer Science at University of Waterloo
Croatian, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
audio-files10
annotations9
audio9
labeling8
javascript7
kubernetes-operator7
apache-beam6
operator6
beam6
lifecycle6
apache5
apache-flink5
kubernetes5
k8s3
flyte3
Programming languages (3)
Github contributions (5)
CrowdCurio/audio-annotator
May 2016 - Sep 2016
A JavaScript interface for annotating and labeling audio files.
Contributions:73 commits in 4 months
annotationsjavascriptaudiolabelingaudio-files
innovativemedicine/haplorec
Aug 2013 - Aug 2013
Contributions:19 commits in 6 days
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