Sameer Merchant
About Sameer Merchant
Sameer Merchant is a Senior Hadoop Administrator with extensive experience in managing Hadoop clusters and ensuring data integrity. He has worked in this role since 2019 and previously served as a Hadoop Administrator for six years, demonstrating expertise in various Hadoop-related technologies and processes.
Work at Confidential
Sameer Merchant has been employed as a Senior Hadoop Administrator at Confidential since 2019. In this role, he has been responsible for commissioning and decommissioning slave nodes to prevent data loss and managing load balancers on high availability (HA) enabled Hadoop clusters. His previous experience at Confidential as a Hadoop Administrator from 2013 to 2019 provided him with a solid foundation in Hadoop cluster management. He has actively participated in disaster recovery activities, ensuring the periodic backup of metadata, metastore, and HDFS snapshots.
Education and Expertise
Sameer Merchant earned a Bachelor's degree in Business Administration and Management from Savitribai Phule Pune University, studying from 2010 to 2013. His educational background complements his technical expertise in Hadoop administration. He has hands-on experience with Hortonworks Data Platform, where he has managed both minor and major updates on the HDP cluster, showcasing his ability to handle complex systems.
Technical Skills and Responsibilities
Sameer Merchant possesses extensive technical skills in managing Hadoop environments. He has configured integration of services with Knox, Ranger, Ranger KMS, MIT, and AD Kerberos. His expertise includes enabling NTP on newly added nodes for synchronization and configuring root queue labels to nodes via YARN. He is skilled in moving large data sets between distributed filesystems using DistCp and has experience in managing and reviewing Hadoop log files to troubleshoot high volume production incidents.
Achievements in Hadoop Administration
Throughout his career, Sameer Merchant has performed significant upgrades for Ambari and HDP stack versions, specifically from Ambari 2.5.2 and HDP 2.6.3 to Ambari 2.6.3 and HDP 2.6.5. He has resolved node/host level and service level queries in HA-enabled clusters, demonstrating his problem-solving capabilities in high-pressure environments. His involvement in disaster recovery activities further highlights his commitment to maintaining data integrity and system reliability.