Ming Zeng
About Ming Zeng
Ming Zeng is a Data Engineer II at dv01, specializing in data processing and analysis using a variety of tools and programming languages. He has extensive experience with AWS, Spark, and various databases, and holds a Master's degree in Industrial and Systems Engineering from Lehigh University.
Work at dv01
Ming Zeng has been employed at dv01 as a Data Engineer II since 2023. In this role, he utilizes his expertise in data engineering to support the company's data processing and analysis needs. His responsibilities include building and maintaining data pipelines, ensuring data integrity, and optimizing data workflows.
Previous Experience in Data Engineering
Before joining dv01, Ming Zeng worked as a Data Engineer at Elemare from 2022 to 2023 for five months. Prior to that, he spent one year at IBM in a similar role from 2021 to 2022. His experience across these positions has equipped him with a broad skill set in data engineering and analytics.
Education and Expertise
Ming Zeng earned a Master's degree in Industrial and Systems Engineering from Lehigh University, where he studied from 2018 to 2020. His academic background has provided him with a solid foundation in engineering principles, which he applies in his data engineering work.
Technical Skills and Tools
Ming Zeng is experienced with a variety of tools and technologies essential for data engineering. He is proficient in Amazon Web Services (AWS) tools such as S3, EC2, EMR, Glue, Athena, QuickSight, and SageMaker. He also has extensive experience with the Hadoop ecosystem, Spark, and various programming languages including Python, Scala, and Java.
Data Processing and Analysis Capabilities
Ming Zeng has developed strong capabilities in data processing and analysis. He has built ETL systems using Sqoop, Hadoop, Hive, Spark, and Kafka. His knowledge extends to predictive analysis techniques using Python and PySpark, as well as experience with relational and NoSQL databases.