Hadoop admin resume with 2 years experinece

Overview:

• Around 2years  of experience in Hadoop Administration & Big Data Technologies 

• Experience with complete Software Design Lifecycle including design, development, testing and implementation of moderate to advanced complex systems. 

• Hands on experience in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4), Yarn distributions. 

• Hadoop Cluster capacity planning, performance tuning, cluster Monitoring, Troubleshooting. 

• Design Big Data solutions for traditional enterprise businesses. 

• Used Network Monitoring Daemons like Ganglia and Service monitoring tools like Nagios. 

• Adding/removing new nodes to an existing hadoop cluster. 

• Backup configuration and Recovery from a NameNode failure. 

• Decommissioning and commissioning the Node on running hadoop cluster. 

• Installation of various Hadoop Ecosystems and Hadoop Daemons. 

• Installation and configuration of Sqoop and Flume. 

• Involved in bench marking Hadoop/HBase cluster file systems various batch jobs and workloads   

• Experience monitoring and troubleshooting issues with Linux memory, CPU, OS, storage and network 

• Good experience on Design, configure and manage the backup and disaster recovery for Hadoopdata. 

• Hands on experience in analyzing Log files for Hadoop and eco system services and finding root cause. 

• Experience on Commissioning, Decommissioning, Balancing, and Managing Nodes and tuning server for optimal performance of the cluster. 

• As a admin involved in Cluster maintenance, trouble shooting, Monitoring and followed proper backup& Recovery strategies. 

• Experience in HDFS data storage and support for running map-reduce jobs. 

• Installing and configuring hadoop eco system like sqoop, pig, hive. 

• Knowledge on Hbase and zookeeper. 

• Experience in importing and exporting the data using Sqoop from HDFS to Relational Database systems/mainframe and vice-versa. 

• Optimizing performance of Hbase/Hive/Pig jobs. 

• Hands on experience on Nagios and Ganglia tool. 

• Scheduling all hadoop/hive/sqoop/Hbase jobs using Oozie. 

Work Experience

Hadoop Admin

June 20xx – May20 xx (2 year 0 months)--Mumbai-CompanyName

Responsibilities: 

• Involved in start to end process of hadoop cluster setup where in installation, configuration and monitoring the Hadoop Cluster. 

• Responsible for Cluster maintenance, commissioning and decommissioning Data nodes, Cluster Monitoring, Troubleshooting, Manage and review data backups, Manage & review Hadoop log files. 

• Monitoring systems and services, architecture design and implementation of hadoop deployment, configuration management, backup, and disaster recovery systems and procedures. 

• Configured various property files like core-site.xml, hdfs-site.xml, mapred-site.xml based upon the job requirement 

• Importing and exporting data into HDFS using Sqoop. 

• Experienced in define being job flows with Oozie. 

• Loading log data directly into HDFS using Flume. 

• Experienced in managing and reviewing Hadoop log files. 

• Installation of various Hadoop Ecosystems and Hadoop Daemons. 

• Installation and configuration of Sqoop and Flume, Hbase 

• Managed and reviewed Hadoop Log files as a part of administration for troubleshooting purposes. Communicate and escalate issues appropriately. 

• As a admin followed standard Back up policies to make sure the high availability of cluster. 

• Involved in Analyzing system failures, identifying root causes, and recommended course of actions. Documented the systems processes and procedures for future references. 

• Worked with systems engineering team to plan and deploy new hadoop environments and expand existing hadoop clusters. 

• Monitored multiple hadoop clusters environments using Ganglia and Nagios. Monitored workload, job performance and capacity planning using Cloudera Manager. 

• Installed and configured Flume, Hive, Pig, Sqoop and Oozie on the hadoop cluster. 

• Involved in Installing and configuring Kerberos for the authentication of users and hadoop daemons. 

Environment: Hadoop, HDFS, Hive, Sqoop, Flume, Zookeeper and HBase, Oracle 9i/10g/11g RAC with Solaris/redhat, Exadata Machines X2/X3, Big Data Cloudera CDH Apache Hadoop, Toad, SQL plus, Oracle Enterprise Manager (OEM), RMAN, Shell Scripting, Golden Gate, Redhat/Suse Linix, EM Cloud Control

Education:

Bachelor of Science, Computer Technology

JNTU -2011

Technical Skills: 

• Hadoop Framework: HDFS, Map Reduce, Pig, Hive, Hbase, sqoop, zookeeper, Oozie, flume,Hue. 

• Microsoft: MS Office, MS Project, MS Visio, MS Visual Studio […] 

• Databases: Oracle 8i/9i/10g, SQL Server, PL/SQL Developer. 

• Operating Systems: Linux, MacOS, WINDOWS 98/00/NT/XP

• Scripting: Shell Scripting, HTML Scripting 

• Programming: C,C++, Core Java, PL/SQL.

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