Rahul Parihar
About Rahul Parihar
Rahul Parihar is a Performance and Capacity Engineer and Full Stack Developer at NWEA, where he has worked since 2017. He has extensive experience in performance testing and engineering, having held various roles at companies such as Barclays Bank, Hitachi Vantara, and Amdocs.
Work at NWEA
Rahul Parihar has been employed at NWEA since 2017, serving as a Performance and Capacity Engineer and Full Stack Developer. In this role, he has contributed significantly to various projects, including the implementation of 'theBeast' product for cloud load testing utilizing Python and Terraform. He has developed a Java/Spring Boot based test data service and an AWS helper library with JMeter. Additionally, he has engaged in architecture board discussions to enhance framework designs and integrated New Relic synthetics to identify performance issues. He also stores historical performance data for over 100 backend APIs within the CI/CD build pipeline.
Previous Experience
Prior to his tenure at NWEA, Rahul Parihar held several positions in the technology sector. He worked at Barclays Bank as a Performance Test Manager from 2010 to 2012. He also served at Hitachi Vantara in various roles, including Performance Engineering Architect and Consultant in 2016, and Performance Architect for multiple programs in 2015. His earlier experience includes a managerial position in Quality Assurance at Cybage from 2007 to 2010 and a Senior Subject Matter Expert role at Amdocs from 2005 to 2007.
Education and Expertise
Rahul Parihar holds a Master of Management Science in Computer Science from the International Institute of Professional Studies, where he studied from 1996 to 2001. He also earned an MMS in Computers from Devi Ahilya Vishwavidyalaya during the same period. His educational background supports his extensive expertise in performance testing, capacity engineering, and full-stack development, allowing him to contribute effectively to his current and past roles.
Technical Contributions
At NWEA, Rahul has played a pivotal role in defining the performance test strategy for the CI/CD build pipeline, ensuring that non-functional requirements are met prior to deployment. He has designed complex test data services using the DAO/Controller/Service model and created local Mongo collections. His contributions extend to being recognized as a key resource for data knowledge, performance optimization, network efficiency, and cost management within the organization.