Rishi Pulluri
About Rishi Pulluri
Rishi Pulluri is a Data Engineer IV currently working at Credit Karma in Charlotte, North Carolina. He has a diverse background in data engineering and software development, with experience at various companies including Virginia Tech, Capital One, and Walmart eCommerce.
Current Role at Credit Karma
Rishi Pulluri currently serves as a Data Engineer IV at Credit Karma, a position he has held since 2022. He works in Charlotte, North Carolina, where he contributes to the company's data engineering efforts. His role involves leveraging his expertise in data ecosystems and building robust data pipelines to support Credit Karma's operations.
Previous Experience in Data Engineering
Prior to his current role, Rishi Pulluri worked as a Data Engineer at Capital One from 2021 to 2022 in the Washington DC-Baltimore Area. He also held positions at Gravy Analytics as a Software Engineer from 2019 to 2020 and at Accenture Federal Services as a Data Engineer in 2019. His experience includes working with data ecosystem tools such as Hadoop and Spark.
Educational Background in Computer Science
Rishi Pulluri studied Computer Science at Virginia Polytechnic Institute and State University, where he earned his Bachelor's degree from 2014 to 2018. His education provided him with a strong foundation in software development and data management, which he has applied throughout his career.
Internships and Early Career Experience
Rishi Pulluri gained valuable experience through various internships early in his career. He worked as a Software Engineer Intern at GE Digital in 2017 for three months and at Textron in 2016 for two months. Additionally, he served as a Software Engineer at Walmart eCommerce in 2018 for 11 months, where he developed his skills in software engineering and data handling.
Technical Skills and Expertise
Rishi Pulluri possesses expertise in building data pipelines capable of managing billions of rows of data. He has experience designing and building microservices in cloud environments. Additionally, he is proficient in writing optimized Scala and Java code, focusing on efficient CPU and memory usage.