Jj Gong
About Jj Gong
Jj Gong is a Lead Data Engineer with extensive experience in data engineering and business intelligence. He has worked at various companies including Pulse Analytics, Ghostery, Inc., and Kurvv, and holds degrees in Managerial Economics and Analytics.
Current Role at Pulse Analytics
Jj Gong serves as the Lead Data Engineer at Pulse Analytics, a position he has held since 2023. In this role, he is responsible for overseeing data engineering projects and leading a team to enhance data processing and analytics capabilities. His work focuses on developing efficient data pipelines and ensuring the integrity of data used for business intelligence.
Previous Experience at Pulse Analytics
Prior to his current role, Jj Gong worked at Pulse Analytics as a Senior Data Engineer from 2022 to 2023 and as a Data Engineer from 2021 to 2022. During his tenure, he contributed to various data engineering initiatives, focusing on automating data extraction and improving data workflows to support business strategies.
Background in Accounting and Data Science
Jj Gong began his career as an Associate Accountant at Devereaux, Kuhner & Co. LLP from 2014 to 2017 in the San Francisco Bay Area. He transitioned to data science, working as a Data Scientist at Kurvv for five months in 2019. His diverse background includes experience in business intelligence and data engineering roles at Ghostery, Inc. from 2020 to 2021.
Educational Qualifications
Jj Gong has a strong educational background in analytics and economics. He studied at the Georgia Institute of Technology, where he earned a Master of Science (M.S.) in Analytics (Data Science). He also holds a Bachelor of Science (B.S.) in Managerial Economics from the University of California, Davis, and began his studies at UC San Diego in Management Science.
Technical Skills and Projects
Jj Gong is proficient in programming languages such as Python, R, and SQL, with a focus on data engineering and business intelligence. He has developed expertise in automating data extraction and pipelining processes. He actively maintains a GitHub profile that showcases his projects and contributions in the fields of data engineering and analytics.