About

Gautam Kumar Poddar is a skilled and hard-working Hadoop Developer currently working as an Associate Consultant at Capgemini. With a strong theoretical and practical knowledge of computer languages, software, and tools, Gautam has expertise in OOP Java, C++, Oracle SQL development, Big Data (Hadoop), Data Science, and Analytics, as well as AI and ML with Python and R. In his current role, Gautam has designed Hive external and internal tables, written queries, and implemented dynamic partitioning and indexing in Hive. He has also developed shell scripts to automate data loading from various sources and supported performance monitoring of batches, adhoc fixes of failures, and managed database structure and storage allocation. Additionally, he has scheduled IBM Tivoli scheduler jobs and provided maintenance and support to the application. Prior to his current role, Gautam worked as a Senior Software Engineer at Capgemini, where he was involved in a data ingestion and delivery project for Morgan Stanley's wealth management division. In this role, he developed data processing applications to ingest, curate, and distribute data from Hadoop Datalake. He also created logical queries to implement Data Warehousing techniques like CDC and SCD in Hive. Gautam used BitBucket (GitBash, Git Extension) for version control and TeamCity to build and promote configuration for deployment. Gautam holds an Integrated M.Tech degree in Computer Science and Engineering from NIT Hamirpur, which he completed in 2020. He has a relevant experience of 2.86 years and is proficient in Hadoop, SQL, Apache Hive, Big Data, ML, Data Science, Python, Java, and Software Engineering. Gautam is a committed and diligent professional who is always eager to learn and grow in his field.