About

Radhika Kulkarni is a highly skilled Manager at Deloitte India with over 15 years of relevant experience. She possesses expert knowledge in Spark core, Spark SQL, and Spark streaming and is well-versed with the Hadoop ecosystem, including HDFS, MapReduce, YARN, HBase, PIG, Sqoop, Hive, Zookeeper, Flume, Oozie, Apache Spark, and Apache Kafka. Radhika has worked with Hadoop distributions such as CDH, HDP, and Apache Hadoop and has experience with cloud platforms like AWS, Azure, and Google Cloud. In addition to her proficiency in programming languages such as Java, Python, and Shell Scripting, Radhika has expertise in Hadoop Administration and Operations activities. She has architected, deployed, and upgraded multiple node clusters for performance, security, and high availability. Radhika has also configured the Hadoop ecosystem and has experience in monitoring and management of Hadoop Cluster (CDH & HDP). She has knowledge of Hadoop DevOps delivery and tools such as Jenkins, Maven, GitLab, and Artifactory. Radhika has a strong background in Application Development Methodology (ADM), including Agile and DevOps. She has worked as a Big Data Hadoop Engineer at Deloitte and as a Technical Consultant at Teradata, where she was part of Think Big Analytics and worked on Hadoop solution development and administration-related activities for a web analytics solution. She was also part of the Big Data COE team at Teradata Mumbai. Radhika holds a Bachelor of Engineering (B.E.) in Information Technology from the University of Mumbai. Her tech stack includes Hadoop, Spark, SQL, DevOps, AWS, Big Data, HDFS, MapReduce, Kafka, Jenkins, Azure, Senior Software Engineer, Python, Java, Apache Hive, and Web. With her exceptional skills and experience, Radhika is an asset to any organization she works for.