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Hadoop Administrator Resume

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SUMMARY:

  • Overall 2 plus years of professional IT experience which includes proven experience in HadoopAdministration using Hortonworks(HDP) Distributions.
  • Experienced in installation, configuration, supporting and monitoring 50+nodeHadoopcluster using Hortonworks Ambari distributions.
  • Have experience in installing. configuring and administratingHadoopcluster for majorHadoopdistribution like HDP 2.2.0 and HDP 2.3
  • Experience in upgrading HortonworksHadoopHDP2.2.0 and Mapreduce 2.0 with YARN in Multi Clustered Node environment. knowledge onHadoopHDFS architecture and MRv1, MRv2 (YARN) framework.
  • Created Hive tables and loaded the data into tables and query data using HQL.
  • Managing & review ofHadooplog files.
  • Experienced in providing security toHadoopcluster with Kerberos.
  • Experience in using Pig, Hive, Sqoop, and Zookeeper
  • MonitorHadoopcluster using tools like Nagios, Ganglia and Ambari.
  • Investigated on new technologies like Spark to catch up with industry developments.
  • Exposure to NOSQL databases like HBASE, Cassandra and traditional and non - traditional databases likes RDBMS

TECHNICAL SKILLS INCLUDE:

Programming Languages: Core Java, C/C++, Performance Tuning & Capacity Monitoring, Data Security, Backup & Recovery, Standby/Failover Administration

HadoopDistributions: Hortonworks Distribution.

Virtualization in: VMware, EC2, Amazon Web Services.

Databases: Oracle 9i/10g, SQL,HBase, Cassandra.

Big Data Ecosystems: Hadoop, YARN, MapReduce, HDFS, Hive, Pig, Sqoop, Flume, Zookeeper, Oozie, Hbase, kafka, Spark,. Database-Backed Web Solutions

Operating Systems: Windows variants, Linux Ubuntu, Centos.

EXPERIENCE:

Hadoop Administrator

Confidential

Responsibilities:

  • Installed, maintained 35 node Hortonworks HDP 2.2Hadoopcluster
  • MonitorHadoopcluster though Ambari, implemented capacity scheduler to share the resources of the cluster for the MapReduce jobs given by users.
  • Coordinated with technical teams for installation of Hadoop and third related applications on systems.
  • Manage and reviewHadooplog files, file system management and monitoringHadoopcluster capacity planning.
  • Expertise in support activities including installation, configuration and successful deployment of changes across all environments.
  • Hands on experience in working with ecosystem like Hive, Pig, Sqoop, MapReduce, YARN, flume zookeeper. Strong knowledge ofHadoopand hive's analytical functions.
  • Importing and exporting data in HDFS using Sqoop.

Hadoop Administrator

Confidential, IL

Responsibilities:

  • Installed, Configured and Maintained ApacheHadoopclusters for application development and Hadooptools like Pig, Zookeeper and Sqoop
  • Wrote Pig scripts to load and aggregate the data.
  • Worked on analyzingHadoopcluster using different big data analytic tools including Pig, Hbase database and Sqoop.
  • Extensively involved in Installation and configuration of Hortonworks distributionHadoopNameNode, StandBy NameNode, ResourceManagers, NodeManagers and DataNodes.
  • Worked on installing cluster, adding and removing of DataNodes
  • Load and transform large sets of structured, semi structured and unstructured data.
  • Implemented Fair schedulers on the Job tracker to share the resources of the Cluster for the Map Reduce jobs given by the users.
  • Installed and configured Hive.
  • Configured various property files like core-site.xml, hdfs-site.xml, mapred-site.xml andhadoop-env.xml based upon the job requirement.
  • Troubleshoot Map/Reduce jobs.
  • Generate datasets and load toHadoopecosystem
  • Involved in creating Hive tables, loading with data and writing Hive queries which will invoke and run MapReduce jobs in the backend.
  • Cluster co-ordination services through ZooKeeper.
  • Used Hive and Pig to analyze data from HDFS.
  • Balanced cluster after adding/removing nodes or major data cleanup.
  • On-call support for 24/7 for troubleshooting production issues and documenting all the processes.

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