Jyothi Kommajosyula
About Jyothi Kommajosyula
Jyothi Kommajosyula is a Data Platform Engineer at Foursquare with extensive experience in building distributed systems using Hadoop and NoSQL technologies. With a strong background in financial services, she has held various roles in prominent companies, including Citi and Apple, and possesses skills in data modeling and performance tuning.
Work at Foursquare
Jyothi Kommajosyula has been employed at Foursquare as a Data Platform Engineer since 2019. In this role, she focuses on building and maintaining data platforms that support the company's analytics and data-driven initiatives. Her work contributes to enhancing the performance and scalability of Foursquare's data systems.
Previous Experience in Big Data Engineering
Before joining Foursquare, Jyothi Kommajosyula worked at Citi as a Senior Big Data Platform Engineer from 2016 to 2018. She was responsible for developing big data solutions that addressed critical business needs. Prior to that, she served as a Senior Technical Consultant at Apple for a brief period in 2013, where she contributed to technical projects.
Education and Expertise
Jyothi Kommajosyula earned her Master of Computer Applications (MCA) degree from NIT Warangal, where she studied Computer Science from 2002 to 2005. Her educational background provides a strong foundation for her expertise in data modeling, component integration, and Hadoop administration.
Career Background in IT Consulting
Jyothi Kommajosyula has a diverse career in IT consulting, having worked for major clients such as Deutsche Bank, AOL, BP, and Fidelity. Her roles included positions at Infosys, where she served as a Technology Lead and later as a Senior Technology Architect, focusing on solutions delivery and performance tuning in big data and NoSQL technologies.
Skills in Data Systems and Technologies
Jyothi Kommajosyula possesses strong skills in building highly performant, distributed systems using Hadoop and NoSQL technologies. Her experience includes presales, solutions delivery, and performance tuning, making her proficient in addressing complex data challenges in various business contexts.