About

Hemsagar Sharma is a highly skilled Big Data Developer with over 3.4 years of experience in the Judicial Services, Retails, and Pharma industries. He has a strong background in ETL operations, with a primary focus on Data Cleansing, Data Profiling, Data ingestion, and Data Loading. Throughout his career, he has gained experience in all phases of Software Development Life Cycle, from collecting functional requirements to Analysis, Design, Development, Implementation, Enhancement, Maintenance, and Production support. Hemsagar has extensive experience working with ETL project and ETL tools technologies like HIVE, Hadoop, and Airflow. He is proficient in writing SQL Queries and has a good understanding of HIVE Warehouse and Internal/External tables, Partitioning, Bucketing, Joins Optimization of HIVE Warehouse, and sound knowledge of Internal/External tables, Partitioning, Bucketing, Joins, and Optimizations techniques of Hive Warehouse. He also has a good understanding of Data Warehousing concepts such as SCD's, Dimension & Fact Tables, and SQL. As a Big Data Engineer at dunnhumby, Hemsagar has hands-on experience on DevOps tools like Jupyter Notebook, GCP, Jira, and Gitlab, for QA and production deployments. He has direct interaction with business communities, collecting/creating functional requirements, and providing solutions that meet their needs. Hemsagar has previously worked as a Scientific Assistant at National Informatics Centre and as a Deputy Manager at BSNL. He holds a Bachelor's degree in Computer Science from Samrat Ashok Technological Institute. He is proficient in various technologies such as Big Data, SQL, Data Engineering, Spark, Python, Apache Airflow, Hadoop, Apache Hive, ETL, Scala, Jupyter, GCP, Software Engineer, QA, DevOps, HDFS, Normalization, Data Warehouse, and MySQL. Overall, Hemsagar has 6.03 years of relevant experience, making him a highly skilled and experienced Big Data Developer with a passion for delivering high-quality solutions to meet business needs.