About

Rajiv Chodisetti is a highly skilled Principal Software Engineering Manager at UiPath with over 10 years of experience in building scalable data warehouses from scratch on both cloud and premise. He has a strong emphasis on self-serve analytics and has catered to hundreds and thousands of users while being cost and management effective. Rajiv has expertise in dealing with hundreds of terabytes of data and improving the performance of DW applications by redesigning ETL pipelines and reports, tuning SQL, parallelizing executions, and optimizing data processes. Rajiv has an excellent understanding of entity relationship modeling for transaction processing systems and dimensional modeling for analytical processing systems. He is hands-on with both AWS and Azure web services relevant to big data analytics and data warehousing and has managed a team of 5-6 data engineers. Rajiv has a diverse skill set that includes hands-on experience with AWS and Azure web services, expertise in AWS Redshift, Presto, Apache Spark (on EMR), Azure SQLDW, MemSQL, ETL, advanced SQL and PL/SQL, Python, Scala, Core Java, shell scripting, OLTP databases like Oracle 11g, MySQL, and PostgreSQL, analytical databases like Redshift, Presto, Exasol, MemSQL, and NoSQL databases like Elastic Search. He also has experience with ETL tools like Informatica and PDI and reporting tools like OBIEE 11g and other internal tools. Currently, he is exploring Kafka in-depth. Rajiv has previously worked as a Principal Software Engineer and Senior Software Engineer at UiPath in the ML platform. He holds a Bachelor of Technology degree in Information Technology from Andhra University, where he graduated in 2009. With over 13.54 years of relevant experience, Rajiv is a highly skilled software engineer with expertise in SQL, AWS, ETL, Azure, web, Spark, big data, MySQL, NoSQL, Elastic Search, Kafka, search, Python, Scala, Java, and ML.