Hadoop Administrator Resume

SUMMARY

Over ten (10+) years of Professional experience in IT background which includes 3+ years in Hadoop Technologies and extensive experience in Linux
Good working knowledge in Big data ecosystem related technologies
Experience in implementing Data Warehousing/ETL solutions for different domains like financial, telecom, loyalty, Retail and insurance verticals
Hands on experience in installing, configuring Hadoop ecosystem components like Hadoop MapReduce, HDFS, HBase, Oozie, Hive, Sqoop and Pig
Assisted in designing, development and architecture of Hadoop eco system.
Knowledge in programming Pig and Hive languages.
Expert in dealing with structured, semi - structured and unstructured data in Hadoop eco system.
Experience in providing security forHadoopCluster with Kerberos
Installation and configuration, Hadoop Cluster and Maintenance, Cluster Monitoring and Troubleshooting and Transform data from RDBMS to HDFS
Implemented standard based monitoring practices forHadoopinfrastructure
Assisted in tuning the performance of Hadoop eco system as well as monitoring.
Assisted in Loaded data from various data sources into Hadoop HDFS/Hive Tables
Good working knowledge of business intelligence tools like Business Objects
Experience in Data Warehousing and ETL processes
Experience on administration of HDFS, HIVE and HA MR2 / YARN.
Supported technical team members for automation, installation and configuration tasks.
Installing and Administration Namenode and Jobtracker High Availability
Benchmarking and Stress Testing an Hadoop Cluster
Implemented Big Data analytics platform using Horton works Hadoop multiple clusters across two datacentres. Provided administrator support to the new platform
Cassandra Performance Tuning on Hadoop Manage and operate 10+ cassandra clusters
Experienced in job workflow scheduling and monitoring tools like Oozie and Zookeeper.
Good Experienced managing Linux platform servers
Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig and MapReduce access for the new users
Shell scripting experience with Linux flavored O/S
Installation, cluster upgrades, patching and routine maintenance forHadoopcluster and eco systems
Monitor Hadoop cluster job performance and capacity planning

TECHNICAL SKILLS

Operating Systems: Linux (Redhat), Sun Solaris, AIX, Ubuntu,CentOS and Ms-Windows

Languages: C, C++, Java, PL/SQL

CRM Package: Siebel 7.8, Siebel 8.x

RDBMS: Oracle 10g /11, MySQL, HBase

Big Data Ecosystem: Hadoop, MapReduce, HDFS, HBase, Zookeeper, Hive, Pig, Sqoop,Oozie, YARN, flume, Impala, Ganglia,Storm,Cassandra,Nagios

Management Tool: Cloudera Manager,Ambari

Application Servers: WebLogic 11g, 12c, Tomcat 5.x and 6.x.

ETL Tool: Informatica 8.x and 9.x, BODS 4.0/4.1,Talend

Reporting tools: BI Publisher, BI launch Pad 4.1, Web Intelligence, Crystal Report,Tableau

SCM Tools: Perforce, Team track, VSS, Harvest and HP Quality Centre

Methodology: Agile SDLC, UML

Scripting language: Bash, Perl, Pig, Python,Puppet

Protocols: TCP/IP, UDP,SNMP

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