David Ng
About David Ng
David Ng serves as the Director of Data Engineering at Unite Us, a position he has held since 2021. He has extensive experience in data management and engineering, having worked in various roles at organizations such as the American Society of Clinical Oncology and Evolent Health.
Current Role at Unite Us
David Ng serves as the Director of Data Engineering at Unite Us. In this role, he oversees data engineering initiatives, ensuring the effective management and utilization of data resources. His leadership focuses on enhancing data architecture and engineering processes to support the organization's mission.
Previous Experience in Data Engineering
Before his current position, David Ng held various roles in data engineering and database administration. He worked at the American Society of Clinical Oncology as the Lead Database Administrator from 2008 to 2017. He also served as a Staff Data Engineer/Data Architect at Unite Us for nine months in 2020. Additionally, he was the Lead Data Engineer at Cogitativo from 2019 to 2020.
Career Background in Database Administration
David Ng has a solid background in database administration. He worked at the Center for Multicultural Human Services as a Database and Systems Administrator from 2003 to 2008. He also briefly worked at Northern Virginia Family Service in 2008. His experience includes managing database systems and ensuring their optimal performance.
Education and Academic Qualifications
David Ng earned a Bachelor of Science degree in Computer Science from Xavier University. His academic background provides a strong foundation for his career in data engineering and software development.
Experience in Software Engineering
In addition to his data engineering roles, David Ng has experience in software engineering. He worked as a Senior Software Engineer in Database Development at Evolent Health from 2017 to 2018 and as a Lead Software Engineer at Evolent Health from 2018 to 2019. His software engineering roles contributed to his comprehensive understanding of data systems.