Pandu Kumar P.
About Pandu Kumar P.
Pandu Kumar P. is a Data Engineer with experience in data integration and transformation across various industries. He holds a Master's degree in Information Technology from Cleveland State University and has worked at Capgemini and Hubbell Incorporated, utilizing technologies such as Python, Pyspark, and Azure Databricks.
Work at Hubbell
Currently, Pandu Kumar P. serves as a Data Engineer at Hubbell Incorporated, a position he has held since 2024. Prior to this role, he completed a six-month Data Engineer Co-Op at the same company in 2023. In his roles at Hubbell, he utilizes tools such as Azure Databricks, Azure Data Factory, and Azure SQL to design and maintain analytics solutions. His work focuses on delivering scalable and robust data solutions that align with client requirements.
Education and Expertise
Pandu Kumar P. holds a Master's degree in Information Technology from Cleveland State University, where he studied from 2022 to 2023. He also earned a Bachelor of Engineering (BE) from SRM University. His expertise includes ETL processes, Python, Pyspark, and Scala, which he applies in creating and optimizing data models. His educational background supports his technical skills in data engineering.
Background in Data Engineering
Pandu Kumar P. has a diverse background in data engineering, having worked in various roles across multiple companies. He was employed at Capgemini as a Data Engineer from 2021 to 2022, where he contributed to data integration, migration, and transformation projects for sectors including healthcare, finance, and retail. Prior to Capgemini, he worked as an Implementation Engineer at Sutherland from 2018 to 2020 and as a Data Specialist at Endpoint Clinical from 2020 to 2021.
Contributions to Data Projects
During his tenure at Capgemini, Pandu Kumar P. contributed to significant data integration, migration, and transformation projects. His work involved applying best practices in data engineering to deliver solutions that met the specific needs of clients in various industries. His experience spans healthcare, finance, and retail, showcasing his ability to adapt to different data environments.