Summary
Stefanie 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.
13 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