Partha Pratim Chatterjee
About Partha Pratim Chatterjee
Partha Pratim Chatterjee is a Senior Software Engineer with extensive experience in software development and engineering. He has worked for several companies, including MerchantE, Jobcase, and Jvion, and holds a Bachelor's degree in Electronics and Instrumentation Engineering and a Master's degree in Management Information Systems.
Current Role at MerchantE
Partha Pratim Chatterjee serves as a Senior Software Engineer at MerchantE, a position he has held since 2023. He is based in Alpharetta, Georgia, United States. In this role, he is involved in developing and maintaining software solutions that enhance the company's payment processing capabilities.
Previous Experience at Jobcase, Inc.
Prior to his current role, Chatterjee worked at Jobcase, Inc. as a Senior Software Engineer from 2022 to 2023. His tenure lasted for 10 months and was conducted remotely while he was located in the Atlanta Metropolitan Area. His responsibilities included software development and engineering tasks.
Experience at Jvion
Chatterjee has significant experience from his time at Jvion, where he held the position of Software Engineer 2 from 2019 to 2021. He then advanced to Senior Software Engineer from 2021 to 2022. His work at Jvion took place in Johns Creek and the Atlanta Metropolitan Area, focusing on software engineering and development.
Educational Background
Chatterjee obtained a Bachelor of Technology (BTech) degree in Electronics and Instrumentation Engineering from West Bengal University of Technology, Kolkata, where he studied from 2007 to 2011. He later pursued a Master's degree in Management Information Systems at Carnegie Mellon University - Heinz College of Information Systems and Public Policy, completing his studies from 2018 to 2019.
Technical Contributions
Throughout his career, Chatterjee has made notable technical contributions. He developed a Spring Boot microservice aimed at detecting and self-healing replication failures, which ensured high data consistency. Additionally, he configured a no-code data replication platform using Confluent Kafka’s Postgres Debezium source and sink connectors, and refactored legacy authentication applications to publish messages to Kafka topics, enhancing fault tolerance for real-time data processing.