Terence Zeng
About Terence Zeng
Terence Zeng is a Senior Data Engineer specializing in ETL on cloud platforms, currently employed at Next Pathway Inc. He has over 15 years of experience in data warehousing and business intelligence, with expertise in various programming languages and tools.
Work at Next Pathway Inc.
Terence Zeng has been employed at Next Pathway Inc. as a Senior Data Engineer specializing in ETL on cloud platforms since 2019. In this role, he utilizes his extensive experience in data engineering to manage and optimize data workflows. His responsibilities include designing and implementing ETL processes to ensure efficient data movement and transformation across cloud environments.
Education and Certifications
Terence Zeng holds certifications from IBM in InfoSphere DataStage and QualityStage. These certifications validate his expertise in data integration and quality management, reinforcing his capabilities in handling complex data environments and ensuring data integrity.
Professional Experience
Prior to his current role, Terence Zeng worked at TD as an iHub Solution Designer and ETL Lead from 2014 to 2015. He has over 15 years of experience in data warehousing and business intelligence development, with a focus on high-volume data movement projects. His background includes hands-on experience in Hadoop data manipulation using languages such as Scala and Python.
Technical Skills and Tools
Terence Zeng is proficient in a variety of programming languages and tools essential for data engineering. His skill set includes DataStage, QualityStage, Informatica, Erwin, Autosys, PL/SQL, HiveQL, Hadoop, and Spark. He has a strong foundation in data profiling, data quality, and data lineage, with over five years of experience in these areas.
Industry Experience
Terence Zeng has broad functional exposure across multiple sectors, including banking, utilities, insurance, telecom, manufacturing, and retail. His experience in mainframe legacy migration and various operating systems, such as Unix, Linux, and AS400, enhances his versatility in addressing diverse data challenges.