Summary
Ximeng Zhao is a Software Engineer II with eight years of experience building data and cloud-native systems, currently enhancing Azure Kubernetes Service at Microsoft using Go, Python, and Kusto. She has a strong data-engineering pedigree from roles at Salesforce, Groupon, and Ericsson—designing ETL pipelines, data models, and automated workflows with PySpark, Airflow, Snowflake, and Spark to deliver measurable efficiency gains. Ximeng blends backend systems work (ETL, Spark, Hive, Presto) with infrastructure skills (Docker, Kubernetes, Ansible) and a history of optimizing large-scale data processing and migrations. She has a track record of mentoring interns and turning ad-hoc analytics needs into reusable pipelines that accelerate ML experiments and business decisions. Based in Kenmore, WA, she pairs rigorous academic training in electrical engineering and computer science with practical production experience across cloud, analytics, and observability stacks.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Dallas
University of Texas at San Antonio
Bachelor's Degree, Telecommunications Engineering, 3.56, Bachelor's Degree, Telecommunications Engineering, 3.56 at Beijing University of Posts and Telecommunications
Chinese, English