About

Himansh Gautam is a Senior Data Engineer with over 8 years of experience in Big Data Engineering, Data Warehousing, and Data Quality Management in various domains such as Banking, Digital Payments, Manufacturing, Supply Chain Management, and Insurance. He is currently working at Caterpillar as a Senior Data Engineer, where he has been responsible for designing and implementing data solutions using RDBMS, AWS, Snowflake, and Python. Himansh has rich experience in architecture and performance tuning of Oracle and PostgreSQL databases. He has extensive experience in working with very high volume and highly transactional data. In his previous role as a Specialist - Data Engineer at L&T, he successfully executed several projects into production with no errors as Product Database Lead. He also solved several SQL performance issues in Production and accelerated the query execution time from > 10 min to < 100 msec. At ACI Worldwide, Himansh played a major role in laying down a process and best practices for achieving Zero downtime database deployment and DB backward compatibility model. He partnered in building data pipeline and ETL engine using PostgreSQL, Spark, and Talend. He co-authored logical data model and ETL for reporting and implemented database deployment automation tool called Liquibase which brought down the deployment time to less than 1 minute and enabled the product in moving towards DevOps. He successfully conducted POC for Oracle to PostgreSQL migration and represented the product development team during Architecture Review Board (ARB) calls and implement data design blueprint. Himansh holds a Bachelor of Engineering (B.E.) in Electronics and Communications Engineering from Rajiv Gandhi Prodyogiki Vishwavidyalaya and a Post Graduate Programme in Artificial Intelligence and Machine Learning from National Institute of Technology Warangal. His tech stack includes Data Engineering, AWS, Snowflake, Big Data, Python, SQL, Spark, ETL, Software Engineer, infra, test, Spring Boot, Spring, and DevOps. He has 7.37 years of relevant experience in the industry.