Yuanyue Liu is a data engineer with 11 years of professional experience and three years focused on data engineering, specializing in Python, SQL, and Spark for parallel, distributed, and cloud-native systems. Based in Ottawa, she has designed and implemented end-to-end Azure ELT architectures using Data Factory, Databricks, Synapse, ADLS and Azure SQL to deliver unified customer profiles, cost-saving pipeline utilities, and streamlined mobile pricing. She transformed 264 transactional tables into a concise fact-dimension model to enable GenAI use cases, built a self-service JSON parsing platform for analysts, and automated large-scale ETL flows handling tens of millions of records. With a Master’s in System Science and a background in Lean Six Sigma-quality practices from industry roles, she combines rigorous engineering discipline with stakeholder-facing communication across technical and non-technical teams. Her work balances practical optimization (saving $700/month in operations) with forward-looking data readiness for ML and analytics.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Master of System Science, 9.36/10, Master's degree, Master of System Science, 9.36/10 at University of Ottawa
Bachelor of Management: Industrial Engineering, Bachelor of Management: Industrial Engineering at Shanghai Maritime University, Shanghai, China.
Contributions:2 PRs, 75 pushes, 7 branches in 1 year 9 months
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