Jenne Zhang is a data engineer with nine years of experience building production-ready big data solutions, specializing in AWS, Spark, Hadoop and serverless architectures. Based in Ottawa, she has designed end-to-end pipelines and deployed models—ranging from a national condo price estimator to property feature predictors—using AWS Glue, Step Functions, SageMaker, Lambda and Postgres. Her academic research at Queen’s focused on Spark performance tuning (QST), yielding substantial speedups and practical expertise in optimizing CPU, memory and shuffle behavior for diverse workloads. Comfortable bridging research and product, she also collaborated on a user-facing serverless app with UX and front-end teams, showing a knack for turning complex data systems into usable business features.
9 years of coding experience
2 years of employment as a software developer
High School, High School at J.N. Burnett Secondary School
BCH, Mathematics and Computer Science, BCH, Mathematics and Computer Science at Queen's University
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