About

Renzhi He is a self-motivated data engineer with over 4 years of relevant experience. Currently, he is working as an Associate Data Engineer at BlackRock, where he is responsible for designing and implementing data pipelines to improve the efficiency of wealth management. He also creates insightful data visualization toolkits and usage metrics at different granularities to provide and share more understandable product usage information. At BlackRock, Renzhi is focused on building business and product usage metrics pipelines & reports, and batch data processing workflows with automation in general. Prior to this, he worked as a Data Engineer at iResearch, where he focused on persona data pipelines and analytics. Renzhi has a Master's degree in Management Information Systems from Carnegie Mellon University, where he also worked as a Graduate Teaching Assistant for Programming R for Analytics. He also holds a Bachelor of Management in Information Management and Information Systems from Shanghai University and a Data Engineering Nanodegree from Udacity. Renzhi's technical expertise lies in the field of Data Engineering. He is proficient in designing and implementing data pipelines, batch data processing workflows, and creating insightful data visualization toolkits. He is also skilled in programming languages like Python and R. Overall, Renzhi is a highly skilled and motivated data engineer with a strong focus on building efficient data pipelines and providing meaningful insights through data visualization. He is a valuable asset to any organization looking to leverage data for better decision-making.