About

Subhajit Roy is an accomplished AVP at JPMorgan Chase & Co. with a total IT experience of 6 years and 10 months. He is a Google cloud data engineer and Big Data Developer with a total experience of 3.2 years in GCP and 3.7 years in Apache Hadoop/Spark. In his current role, Subhajit is responsible for handling a team of 8 people, writing big query SQL to implement business logic, writing data flow code, and writing cloud composer code to schedule jobs. He has extensive experience in Hadoop/Spark development and implementation, translating complex functional and technical requirements into detailed designs, configuring the Hadoop ecosystems (Pig, Hive, Sqoop), monitoring and managing Hadoop clusters, fine-tuning Hadoop applications for high performance and throughput, and troubleshooting and debugging any Hadoop ecosystem tool runtime issues. He is also adept at managing and deploying HBase/Phoenix. Subhajit's expertise extends to understanding client requirements and designing architecture, developing Spark Streaming applications and Hive using Java applications, and writing Unix shell scripts. He follows agile processes, creating scripts, pull requests for review, and code push to respective branches. He is proficient in deploying Spark applications using Scala on Dev, QA, and PROD and reviewing Sonarqube and Checkmarx reports. Prior to JPMorgan Chase & Co., Subhajit worked as a Senior Data Engineer at Accenture and a Senior Consultant at Capgemini. He holds a Bachelor's degree in Computer Engineering from MCKV Institute of Engineering, where he graduated in 2015. He also completed his High School education in Science from Mahesh Sri Ramkrishna Ashram Vidyalaya in 2011. Subhajit's tech stack includes Hadoop, Spark, Data Engineering, SQL, Big Data, QA, GCP, Apache Hive, Scala, and Java. With relevant experience of 7.86 years, Subhajit is a seasoned professional in the field of data engineering and big data development.