About

Rishabh Mishra is an ETL Developer and Associate at Cognizant, with 1.44 years of relevant experience. He is an immediate joiner and has a strong background in managing data integration and developing data warehousing solutions. Rishabh has worked with clients in the banking and manufacturing industries, overseeing requirement gathering, analysis, design, development, testing, and implementation. In his current role at Cognizant, Rishabh collaborates with cross-functional team members in an onshore-offshore business environment. He has worked on a production support project with Branch Bank & Trust Company, ensuring the client's current production environment's stability. Rishabh has also ensured that production applications operate per SLAs, liaising with stakeholders and downstream users to resolve delays or SLA breaches. He has coded, debugged, performed root cause analysis, troubleshooting, and developed permanent solutions to achieve defined SLAs - service levels. Rishabh has extensive experience in developing ETL objects to source data from various internal and external source systems into the Enterprise Data warehouse, such as the Enterprise Data Lake [Hadoop File System HDFS], Hive, Data Landing Zone, HUB, XML extracts, Staging area, and then into Dimensions and facts through automated batch processing using ESP. He has participated in change control discussions and created high implementation plans and roadmaps for several internal projects to deliver organized, structured data as per line of business requirements. Rishabh has also created and optimized Unix Script to improve the existing process, accomplishing 80% process improvement in job completion and improving SLA by 95%. Rishabh has a Bachelor of Engineering in Computer Science from the University Institute of Technology and is currently pursuing a Master of Technology in Data and Computational Science from IIT Jodhpur, which he is expected to complete in December 2023. His tech stack includes ETL, HDFS, Data Warehouse, test, Hadoop, Integration, and Apache Hive.