About

Anusha N is a seasoned Technical Support Engineer with over 11 years of experience in the field of Big Data and Kafka. She is currently working as a Technical Support Engineer (Kafka) at Confluent, a leading company in the field of data streaming platforms. In her current role, Anusha is responsible for providing technical support to customers using Kafka, troubleshooting issues, and resolving technical problems. Prior to joining Confluent, Anusha worked at Qubole, where she served as a Big Data Support Engineer III and a Big Data Support Engineer. During her tenure at Qubole, Anusha gained extensive experience in providing technical support to customers using Big Data technologies such as Hadoop, Hive, and Spark. She was responsible for troubleshooting issues, identifying root causes, and providing solutions to customers. Anusha has a strong technical background in Kafka and Big Data technologies. She is proficient in Kafka and has a deep understanding of its architecture, configuration, and usage. Anusha is also well-versed in Big Data technologies such as Hadoop, Hive, and Spark. Anusha is a dedicated and results-driven professional with a proven track record of providing exceptional technical support to customers. She has excellent communication skills and is adept at explaining technical concepts to non-technical stakeholders. Anusha is a team player and enjoys collaborating with cross-functional teams to deliver the best possible solutions to customers. In summary, Anusha N is an experienced Technical Support Engineer with a strong technical background in Kafka and Big Data technologies. She is a valuable asset to any organization looking for a skilled and dedicated professional to provide technical support to customers.