Summary
Wayne Yu is a Senior Backend Engineer in Toronto with 11 years building scalable real-time and batch data platforms for fintech, adtech, and consumer applications. He specializes in streaming and ETL systems using Flink, Spark, Kafka, Python/Scala/Java, and a wide AWS data stack, having built pipelines that serve live data to hundreds of millions of users at high throughput. At companies from RBC and Paytm Labs to Firework and Faire he led design and production deployments, integrating data-quality tooling (Great Expectations, DBT) and ML infra (MLflow, SageMaker) to raise reliability and developer productivity. His background in experimental physics and applied mathematics informs a rigorous approach to data validation, monitoring, and performance optimization. Wayne’s practical focus on shipping end-to-end solutions is matched by a curiosity for new frameworks and observable-driven operations, visible in his public GitHub and technical writing. He brings a blend of systems-level engineering, data craftsmanship, and process improvement that improves both customer-facing features and internal developer velocity.
11 years of coding experience
15 years of employment as a software developer
Master's Degree, Experimental Physics, Master's Degree, Experimental Physics at The University of British Columbia
English, Icelandic, Chinese