Howard Cho
About Howard Cho
Howard Cho is a Lead Data Engineer at Deepgram, with a diverse background in data engineering and management across various companies, including Attentive and Ende Solutions. He has a strong track record of implementing cost-saving data solutions and has held multiple roles in data management and software engineering since the early 2000s.
Current Role at Deepgram
Howard Cho serves as the Lead Data Engineer at Deepgram since 2023. In this role, he has automated hourly aggregated data ingestion for the secondary BI tool, Rill. He has also led the transition from the main BI tool to a hosted Superset instance, achieving significant cost savings. His work includes conducting research and selecting Apache Superset as the replacement visualization tool, which has streamlined data visualization processes.
Previous Experience at Attentive
Cho worked at Attentive in various capacities from 2019 to 2023. Initially, he served as a Senior Data Engineer for the Data Platform for two years. He then advanced to the position of Engineering Manager for the Data Platform and Reporting Platform, where he continued to contribute for another two years. His tenure at Attentive involved enhancing data engineering practices and optimizing data workflows.
Entrepreneurial Background
From 2013 to 2017, Howard Cho was the CEO and Co-Founder of Ende Solutions, a company based in New York, NY. His entrepreneurial experience includes overseeing operations and driving the company's strategic direction. Additionally, he co-owned Fat Buddha Bar from 2013 to 2022, where he was involved in the management and operational aspects of the establishment.
Educational Background
Howard Cho studied at the University of Vermont from 1993 to 1994 and later attended Rutgers University from 1995 to 1996. His educational background laid the foundation for his career in data engineering and software development. He also completed his high school education at Mendham High.
Technical Achievements
Throughout his career, Cho has implemented significant technical solutions. At Deepgram, he successfully reduced row counts in the main BI tool from over 200 million to under 15 million, resulting in substantial cost savings. He also implemented a transactional Data Lakehouse using Apache Hudi with a Medallion architecture pattern, enhancing data management and accessibility.