Installed and configured Cloudera distribution of Hadoop Cluster using Cloudera Manager (CM).Scripting & Programming Languages: Shell, Perl, Python Web/Application Servers: Tomcat, WebSphere Application Server 5.0/6.0/7.0, Message Broker, MQ Series, Web Logic Server, IBM HTTP Server. Tools: & Utilities: Managenow,Remedy,Maximo,Nagios,Chipre & SharePointĭatabases: Oracle 10/11g, 12c, DB2 & MySQLĬluster Technologies: HACMP 5.3, 5.4, Power HA 7.1, VERITAS Cluster Servers 4.1 Networking: DNS, DHCP, NFS, FTP, NIS, Samba, LDAP, Open LDAP, SSH, Apache, NFS, NIM Operating Systems: Linux, AIX, CentOS, Solaris & Windows Hardware: IBM pSeries,pureflex,RS/6000,IBM Blade servers, HP Proliant DL 360,380, HP Blade servers C6000,C7000 Have flair to adapt to new software applications and products, self - starter, have excellent communication skills and good understanding of business work flow.īig Data Technologies: Hadoop, HDFS, Map Reduce, YARN, PIG, Hive, Hbase, Smartsense, Zookeeper, Oozie, Ambari, Kerberos, Knox, Ranger, Sentry, Spark, Tez, Accumulo, Impala, Hue, Storm, Kafka, Flume, Sqoop, Solr,Nifi,Airflow.Expertise in Installation, administration, upgradation, configuration, patching, performance tuning and troubleshooting of Red Hat Linux 4/5/6, Sun Solaris 8/9/10 & AIX 5.3/6.1/7.1.

Maintain and use Red Hat Kickstart servers, Jumpstart, Ignite Installation Methods and NIM Master for installs and upgrades.Providing Change, Problem & Incident Management using Tools like Remedy, Maximo, Chipre, SharePoint and Manage Now.different tools including MapReduce, YARN, HDFS, Hive, Pig, Hbase, Sqoop, Flume, Oozie. Experience in ingestion, storage, querying, processing and analysis of Big Data using.Experience in monitoring and reviewing Log4j logs.Good in planning big data strategy and designing big data solution architecture, including data acquisition, storage, transformation, analysis, business intelligence and integration with other frameworks for tailor made solutions to meet specific business needs.Analyze business requirements and work with technology team to recommend and implement best approach to delivering solutions on the Hadoop Platform.Handling and generating tickets via the Remedy and JIRA ticketing tools. Creating and maintaining user accounts, profiles, security, rights, disk space and process monitoring.

Expertise to handle tasks in Red Hat Linux includes upgrading RPMS using YUM, kernel and LVM file system.

Agile with JIRA, Kanban board along with ticketing tool.

Solid understanding of all phases of development using multiple methodologies i.e.

Excellent understanding and knowledge of NOSQL databases like MongoDB, HBase, and Cassandra.

Experience in importing and exporting data between HDFS and Relational Database Management systems using Sqoop and troubleshooting for any issues.

Hands on experience in installation, configuration, supporting and managing Hadoop Clusters using Apache, Hortonworks (HDP 2.2, HDP2.3).

Experience in monitoring the health of hadoop cluster and also performing multiple administrative cluster maintenance such as commissioning /decommissioning data nodes.

Good knowledge on Hadoop HDFS architecture and MapReduce framework.

Good Understanding of the Hadoop Distributed File System and Eco System (MapReduce, Pig, Hive, Sqoop and HBase).

Experience in Hadoop administration activities such as installation, configuration and management of clusters using Cloudera Manager & Ambari.

Experience in minor and major upgrades of hadoop and hadoop eco system.

Experience in Hadoop Cluster capacity planning, performance tuning, cluster Monitoring, Troubleshooting.

Experience in performing backup and disaster recovery of Name Node metadata and important sensitive data residing on cluster.

Hands on experience in installing, configuring, and using Hadoop ecosystem components like HDFS, MapReduce, Hive, Hbase, Sqoop, Pig, Oozie, Zookeeper, Solr, Hue, Flume, Spark & Yarn distributions.Around 4+ years of experience in Hadoop Administration using Hortonworks (HDP) & Cloudera (CDH) Distributions.Over 10+ years of overall experience in IT as a Systems Administrator on multiple Operating systems like Linux/AIX with cross platform integration experience using Hadoop.

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