Having Overall 4 years of experience as a Big data and cloud Administrator in production environments.•Excellent understanding and working experience on Azure cloud services.Working experience in deploying and maintaining azure cloud services like ADF, Azure Databricks workspace, AMLS, App services, storage account, ADLS gen1, and gen2. HD insight cluster, VMs, azure log analytics, ML studio, Azure key vault, Azure SQL server, databases, etc. Working experience in managing and supporting Infoworks tool.• Working experience in managing and supporting the Trifacta tool and Denodo (Data Virtualization) tool.• Working experience in installing, configuring, and managing Rstudio server, publishing dashboard to Rstudio connect env, migrating application/dashboard from shiny server to Rstudio connect.•Working experience in creating and maintaining the clusters, notebooks, jobs, etc in Azure data bricks workspace. •Working experience in installing and configuring the Anaconda, mini conda , and python in Linux and windows VMS. • Excellent understanding of Hadoop architecture (1. x & 2. x) and various components such as HDFS, Yarn, Resource Manager, Node Manager, Name Node, Data Node, and MapReduce paradigm.• Good working knowledge in HA Implementation of Name node and RM to avoid SPOF.• Set up standards and processes for Hadoop-based application design and implementation. • Experience in installation, configuration, supporting, and managing Hadoop Cluster using Apache, Ambari (HDP) distribution on amazon web services (AWS).• Experience in installation, configuration, supporting, and managing Azure Hd insight cluster.• Decommissioning and commissioning the Node on running cluster including Balancing HDFS block.• Configure a fully distributed node cluster in the AWS cloud.• Managing and monitoring Hadoop services like Name Node, Data Node, Yarn, and other services.• Performance tuning and solving Hadoop issues using CLI or by WebUI.• Experience in loading data into the cluster from Infoworks, Trifacta, Sqoop, etc.• Working knowledge on Distcp to transfer data from one cluster to another.• Setting up, configuration, and management of security for clusters using Kerberos and integration with LDAP/AD and Ranger.•Working knowledge and experience with a wide range of big data components such as HDFS, Map Reduce, Sqoop, Flume, Pig, Hive, Zookeeper, etc. to process structure and unstructured data.•Implemented multi-node cluster on HDP with the implementation of security compliance.•Worked on AWS such as EC2, S3, and EMR.•Worked on python packages.