About

Rakesh Dubey is a highly skilled Hadoop Administrator with over 17 years of experience in big data. He has extensive experience in installation, configuration, support, and management of Hadoop Clusters using Apache Hadoop. Rakesh has a strong background in verifying the installation of various Hadoop Ecosystems and Hadoop Daemons, checking system health by Heartbeat mechanism, and designing, configuring, and managing backup and disaster recovery for Hadoop data. He is proficient in analyzing log files for Hadoop and ecosystem services and finding the root cause. Rakesh has hands-on experience in HDFS data storage and support for running map-reduce jobs. He has a good working knowledge of Hadoop security, including Kerberos and Sentry. He is experienced in Cloudera installation, configuration, and deployment on Linux distribution. He is accountable for storage and volume management of Hadoop clusters, ensuring that the Hadoop cluster is up and running all the time (High availability, big data cluster, etc.). Rakesh has worked with various Hadoop eco-systems like Sqoop, Pig, Hive, Hbase, Flume, Oozie, and Kafka. He has configured various property files like core-site.xml, hdfs-site.xml, mapred-site.xml, yarn-site.xml based upon the job requirement. He has imported and exported data into HDFS using Sqoop and moved data from one cluster to another. Rakesh has experience in commissioning and decommissioning of nodes as required, managing and monitoring Hadoop services like Namenode, Datanode & Yarn, performance tuning, and solving Hadoop issues using CLI or by WebUI. He is responsible for configuring alerts for different types of services running in the Hadoop Ecosystem. He has evaluated Hadoop infrastructure requirements and designed/deployed solutions. He has also performed backup and recovery tasks by creating snapshot policies, backup schedules, and recovery from node failure. Rakesh holds an M.C.A degree from S.R.M.S College of Engg & Technology, Bareilly, and a B.Sc degree from Bareilly College in Mathematics and Physics. He is proficient in Hadoop, HDFS, Big Data, Kafka, Apache Hive, and infra. Rakesh is currently working as a Hadoop Administrator at Morehappy Pvt Ltd and is looking for new opportunities to further his career.