Hui Zheng
About Hui Zheng
Hui Zheng is a Data Engineering Technical Lead at Semios, where he has significantly improved data processing efficiency and established innovative testing processes. He has a strong background in data engineering and analytics, with previous roles at Deloitte, Hootsuite, and Wave, and holds a Master's degree from the University of California, Berkeley.
Current Role at Semios
Hui Zheng serves as the Data Engineering Technical Lead at Semios since 2022. In this role, he focuses on enhancing data engineering practices and leading technical initiatives. His contributions include re-architecting core data modeling pipelines, which resulted in a tenfold improvement in outcomes. He also established a multi-verse testing and blue/green release process, facilitating seamless production releases.
Previous Experience at Hootsuite Media Inc.
Prior to his current role, Hui Zheng worked at Hootsuite Media Inc. from 2014 to 2019. He held positions as a Senior Web Analytics Analyst and Platform Developer, contributing to the development of data-driven strategies. He also worked as a Data Engineer for a brief period in 2014, enhancing his skills in data management and analytics.
Educational Background
Hui Zheng completed his Master’s degree in Industrial Engineering with a Management of Technology Certification at the University of California, Berkeley, from 2007 to 2008. He also holds a Bachelor of Mathematics in Operations Research and Computer Science from the University of Waterloo, which he obtained from 2002 to 2005. His education has provided a strong foundation for his career in data engineering and analytics.
Experience at Deloitte Consulting
Hui Zheng worked as a Senior Consultant at Deloitte Consulting from 2008 to 2012. His role involved providing consulting services in various locations, including San Francisco and Shanghai. This experience contributed to his expertise in data analysis and engineering, preparing him for future roles in the tech industry.
Achievements at Semios
At Semios, Hui Zheng has achieved significant milestones, including a 70% reduction in data platform processing costs, which enhanced efficiency and resulted in substantial annual savings. He also re-architected the data platform using dbt, BigQuery, and Vertex AI, enabling contributions from multiple teams and establishing a continuous integration and continuous deployment (CI/CD) process for data models.