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.
