Jeswanth R.
About Jeswanth R.
Jeswanth R. is a Big Data Engineer at Fannie Mae in Reston, Virginia, with extensive experience in the financial services industry and expertise in Apache Kafka and Apache ZooKeeper.
Current Role at Fannie Mae
Jeswanth R. holds the position of Big Data Engineer at Fannie Mae in Reston, Virginia. In this role, he is responsible for managing and analyzing extensive data sets, and leveraging technologies such as Apache Kafka and Apache ZooKeeper to facilitate distributed systems and real-time data pipelines.
Previous Experience at Capital One
Before joining Fannie Mae, Jeswanth R. worked at Capital One. His tenure there included two periods: from 2018 to 2019 for 7 months in McLean, Virginia, and later in 2019 for 8 months in Vienna, Virginia. During this time, Jeswanth applied his expertise in big data engineering to develop and maintain data infrastructure critical for financial operations.
Work at Walmart
In 2018, Jeswanth R. was employed at Walmart in Bentonville, Arkansas as a Big Data Engineer for 3 months. He utilized his skills in big data analytics to manage and process large volumes of data, supporting Walmart's vast retail operations.
Early Career and Education
Jeswanth R. began his career at SCI IT Solutions as a Junior Software Developer from 2011 to 2012 in Hyderabad, India. He then transitioned to a role as a Data Analyst at the Kansas City Board of Public Utilities from 2015 to 2017. Jeswanth achieved his Bachelor's degree in Computer Science from Architecture and Fine Art jobs and later earned his Master's degree from San Francisco Bay University, further bolstering his credentials in the field.
Technical Expertise
Jeswanth R. has robust technical skills in Apache Kafka and Apache ZooKeeper, both of which are pivotal for managing distributed systems and ensuring efficient, real-time data processing. His proficiency in Big Data Analytics allows him to analyze large datasets to identify patterns and insights, crucial for informed decision-making in complex industries.