Summary
Tina Cao is a data engineer with nine years of practical experience designing and optimizing scalable data pipelines across enterprise and research environments. She builds reliable ETL solutions using SQL Server, Snowflake, SSIS, and C#, and has applied Spark, Python, and Azure to modernize legacy systems and enable distributed processing. Her work at UnitedHealth Group and Deloitte focused on performance tuning, partitioning and automation to reduce query runtimes and streamline cloud migrations. Earlier roles at JPL and the US Navy showcase a strong foundation in high-performance computing and applied ML for remote-sensing imagery, revealing a blend of academic rigor (Georgia Tech MS, 4.0) and production-focused engineering. Based in Irvine, CA, she approaches data engineering as a means to turn raw information into actionable insight and enjoys bridging the gap between research-grade pipelines and enterprise operations.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Georgia Institute of Technology
Associate of Science - AS, Computer Science, Associate of Science - AS, Computer Science at Fullerton College
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at California State University, Fullerton