Hadoop Administrator Resume

SUMMARY:

Motivated, Goal - oriented Big Data enthusiastic with 6.10 years of varied experience.
Expertise in Linux, Python, Java and Hadoop field i.e HDFS, YARN, HIVE, OOZIE, Hbase, Spark and Kerberos.
Passionate to learn and implement new technologies.

TECHNICAL SKILLS:

Languages: Python, Shell Script, Java, SQL, VB Script, ASP3.0

BigData technologies: Hadoop, HDFS, YARN, Hive, Oozie, Hbase and Spark

Databases: Mysql, Oracle

Operating Systems: Linux, Mac

Methods: Lean, Six Sigma, SDLC - Waterfall Model, Iterative Model

PROFESSIONAL EXPERIENCE:

Confidential

Hadoop Administrator

Responsibilities:

Planning, installation, testing and administration of Hadoop Clusters.
Patching and Upgrading existing Hadoop cluster.
Maintaining 16 production and 14 non-production clusters. Few clusters having range from 1100-1200 nodes.
Hive Benchmarking using TPC-DS.
Configuring and rollback of High Availability for Name Node, Resource Manager, Hbase and Oozie.
Configuring Cluster Security through Kerberos and SASL.
Performing cluster and jobs performance analysis.
Managing, monitoring, troubleshooting and reviewing of log files.
Setting up HDFS Name/Space quotas.
Well versed with Yarn architecture and schedulers.
Optimizing Map-reduce jobs by using compression mechanisms.
Commissioning and Decommission of nodes from the cluster.
Continuous monitoring and managing the Hadoop cluster through Ambari and Nagios.
Performing Root Cause Analysis (RCA).
Proven experience using Log Aggregation i.e Splunk.

Confidential

Developer and Techno-Functional Consultant

Responsibilities:

Worked as Developer to build this application.
Used J2EE for code writing of Library Management (a module). Used Apache-Tomcat for hosting this module.
Used ASP for code writing of other Modules.
Used IIS6 and Windows Server 2003 for hosting ASP code.
Used Oracle 10g as database.
Used VB for writing scripts.
Used SVN for versioning control.
Later worked as Techno-Functional Consultant. My role was to suggest/implement critical business requirements of client into working model and enhance, customize and manage the application within the scope of SLA management.