Leon Zhang
About Leon Zhang
Leon Zhang is a Data Engineer with a strong background in software development and project engineering. He has contributed to various organizations by enhancing data processing capabilities and improving team collaboration through the development of comprehensive tools.
Work at Milliman
Leon Zhang is currently employed at Milliman as a Data Engineer since 2023. In this role, he focuses on enhancing data processing capabilities and contributing to analytics initiatives. His responsibilities include developing and sharing tools that improve productivity and collaboration among team members.
Education and Expertise
Leon Zhang holds a Bachelor of Science in Mechanical and Electronic Engineering from Shanghai Institute of Technology, completed from 2008 to 2012. He furthered his education with a Master of Science in Construction Engineering and Management from Illinois Institute of Technology, obtained from 2012 to 2014. Additionally, he earned a Master's degree in Computer Science from Georgia Institute of Technology, studying from 2019 to 2021. His educational background supports his expertise in data engineering and software development.
Background
Leon Zhang has a diverse professional background with experience in various engineering and software roles. He worked as a Project Engineer at Lenox Hill Construction Co. from 2014 to 2016, and at Novak Construction from 2016 to 2019. He transitioned to software roles, serving as a Software Developer at Pepper Construction Group from 2021 to 2022 and as a Software Integration Engineer at LivCor, a Blackstone Company, from 2022 to 2023.
Achievements
During his career, Leon Zhang has led significant projects that include the migration of legacy SAS code to AWS Databricks, which optimized data processing capabilities. He also spearheaded the importation and transformation of extensive datasets, utilizing advanced mapping techniques to enhance data accuracy. Additionally, he devised strategic approaches for data reconciliation, ensuring integrity across key fields within datasets.