SUMMARY:

• Around 8 years of experience in IT industry this includes 3+ years in Hadoop 4+ years in Linux.
• Hands on experience in installing, configuring and using eco - System components like Hadoop Map Reduce, HDFS, Hbase, Pig, Flume, Hive, Zookeeper and Sqoop.
• Accomplished Hadoop Administrator on Linux servers, hands on experience in designing, building, and maintaining high performance Cloudera Hadoop environment and installing Hadoop Horton Works cluster
• Hands-on experience with productionalizing Hadoop applications (such as administration, configuration management, debugging, and performance tuning).
• Worked on Multi Clustered environment and setting up Cloudera Hadoop eco-System.
• Implemented in setting up standards and processes for Hadoop based application design and implementation.
• Implemented Kerberos and Sentry for managing security in Hadoop Ecosystem.
• Implemented High Availability of different applications in Hadoop cluster.
• Practical knowledge on Hadoop ecosystem components like Pig, Hive, Impala, Mapreduce, Hue, Sqoop, Flume, Oozie, Zookeeper, Cloudera Manager & Ambari.
• Experience on Hadoop Security tools like Sentry, Ranger, Knox and Kerberos .
• Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing.
• Support and utilize multiple Oracle based applications including: SQL and PL/SQL, TOAD, Oracle views, stored procedures, triggers, and the Microsoft Office suite of tools.
• Design, create/modify, and implement documented solutions as agreed to by all business partners responsible to design and integrate a computing system, from start to finish.
• Experience in installation and configuration of HBASE, using HBasemaster and HBase regional server.
• Worked with system engineering teams to plan and deploy hardware and software environments optimization for Hadoop implementations.
• Experience in deploying Hadoop cluster on Public and Private Cloud Environments like Amazon Web Services (AWS)
• Experience in managing the spark cluster and tuning spark .
• Experience in working with flume to stream data from multiple sources into HDFS.
• Extensive experience in Software Development Life Cycle (SDLC) which includes Requirement Analysis, System Design, Development, Testing, and Implementation.
• Investigated on new technologies in Apache to catch up with industry developments.

TECHNICAL SKILLS:

Hadoop Ecosystem: HDFS, Map-Reduce, Hive, Pig, Sqoop, Oozie, Zookeeper, Ranger, Flume, Splunk, Knox, Sentry, Hue, Impala.

NoSql Databases: Hbase

Database: DB2, ORACLE, MySQL, SQL Server, Teradata

Scripting Languages: Shell Scripting

IDE: Net Beans, Eclipse, Visual Studio, Microsoft SQL Server, MS Office

Operating Systems: Linux (Redhat, Centos, UBUNTU), Windows.

WEB Servers: Apache Tomcat,JBOSS and Apache Http web server

Cluster Management Tools: Cloudera Manager and HDP Ambari

Virtualization technologies: VMware vSphere, Citrix XenServer xvructure for hadoop

PROFESSIONAL EXPERIENCE:

Confidential, Atlanta

Hadoop Administrator

Responsibilities:

• Manage several Hadoop clusters in production, development, Disaster Recovery environments.
• Expertise in recommending hardware configuration for Hadoop cluster.
• Trouble shooting issues such as Data Node down, Network failure and data block missing.
• Installed and configured Ranger server to enable schema level Security.
• Experience with UNIX and Linux OS.
• Integrated external components like Informatica BDE, Tibco and Tableau with Hadoop.
• Expertise in Performance tuning and optimized Hadoop clusters to achieve high performance.
• Worked on POCs to evaluate and document new and emerging trends in Hadoop and related technologies
• Managed cluster coordination services through Zoo Keeper.
• Provided support for on call issues with the vendors for our existing clusters.
• Mystifying and demystifying nodes from the Cluster environment.
• Set up automated monitoring for Hadoop cluster using Ganglia, which helped figure out the load distribution, memory usage and provided an indication for more space.
• Provisioning, installing, configuring, monitoring, and maintaining HDFS, Yarn, HBase, Flume, Sqoop, oozie, Pig, Hive, Zookeeper.
• Installed and Configured Hbase by installing Hbase Master and Hbase Regional Servers.
• Tuning the Hbase writes to meet the performance requirements.
• Installing the necessary packages required for data analytics that includes Spark, R lang, python.
• Installed and configured Revolution R and RStudio Server and integrated with Hadoop Cluster.
• Installed and configured Hive Using Hiveserver2 and HCatalog.
• Patching and upgrading Horton works AMBARI Clusters.
• Worked on spark streaming and Spark SQL.
• Worked on Linux in a Cloud Computing and Virtualized environment for AWS.
• Setting up IAM user’s in AWS for least privilege access.
• Transferring the data from mysql to AWS Hadoop environment using sqoop.
• Created the VPC’s for the environment and also performed regular administration on AWS cloud environment.
• Suggesting the new cloud services based on the business requirement’s in AWS.
• Recovering from node failures and troubleshooting common Hadoop cluster issues.
• Hadoop package installation and configuration to support fully-automated deployments.
• Supporting Hadoop developers and coordinating with different teams and assisting in optimization of map reduce jobs, Hive Scripts, and HBase ingest as required.

Environment: Horton works Ambari, HDFS, Hbase, Map reduce, Hive, Pig, Zookeeper, Flume, Oozie, Sqoop, Eclipse, Kerberos, and Ranger.

Confidential, Santa Clara

Hadoop Administrator

Responsibilities:

• Responsible for building a cluster on HDP 2.0. With Hadoop 2.2.0 using Ambari.
• Expertise in analyzing data with Hive, Pig and HBase.
• Worked on POCs to evaluate and document new and emerging trends in Hadoop and related technologies.
• Expertise in Cluster Capacity Planning.
• Implemented Kerberos Security Authentication protocol for Hadoop clusters with Knox and Ranger for granular level access.
• Expertise with trouble shooting Pig and Hive Queries.
• Good experience in troubleshooting production level issues in the cluster and its functionality.
• Expertise in Manage and review data backups.
• Frequent monitoring of Hadoop connectivity issues and security issues.
• Reviewing the Hadoop log files while troubleshooting the error’s and failed jobs.
• Backed up data on regular basis to a remote cluster using distcp.
• Imported logs from web servers with Flume to ingest the data into HDFS.
• Responsible for creating new users to the hadoop cluster and providing access to the datasets
• Expertise in disaster recovery processes as required.
• Implemented capacity scheduler to allocate fair amount of resources to small jobs.
• Monitored the data from MySQL database to HDFS and vice-versa using Sqoop.
• Implemented rack aware topology on the Hadoop cluster.
• Good Experience in Planning, Installing Configuring Hadoop Cluster in Cloudera and Horton works Distributions
• Expertise in applying Hadoop updates, patches, version upgrades as required
• Expertise in Optimize and tune the Hadoop environment to meet the performance requirements.

Environment: Hadoop Hdfs, Mapreduce, Hive, Pig, Flume, Oozie, Sqoop, AWS, Eclipse, Hortonworks Ambari, Horton Works

Confidential, NY

Hadoop Administrator

Responsibilities:

• Works with the Hadoop production support team to install operating system and Hadoop updates, patches, version upgrades as required.
• Installed and configured an automated tool Puppet that included the installation and configuration of the Puppet master, agent nodes and an admin control workstation.
• Provided POC for test and QA cluster using Cloudera 4.5 using NOSQL DB using HBASE.
• Involved in moving all log files generated from various sources to HDFS for further processing.
• Involved in installation of Hive, Pig and Sqoop.
• Provided Level 1, 2 and 3 technical support.
• Familiar with developing Oozie workflows and Job Controllers for job automation
• Experience in working on production support and maintenance related projects
• Experience on working with multiple relational databases: DB2/400, MySQL, Oracle
• Dumped the data from one cluster to another cluster by using Distcp.
• Deployed Network file system (NFS) for NameNode Metadata backup.
• Responsible for setting up and configuring MYSQL database for the cluster.
• Extracted output files using Sqoop and loaded the extracted log data using Flume.
• Created user accounts and given users the access to the Hadoop cluster.
• Worked on AWS Cloud management and Chef automation
• Performed HDFS cluster support and maintenance tasks like Adding and Removing Nodes without any effect to running jobs and data.

Environment: Hadoop, HDFS, Map Reduce, Hive, Pig, Sqoop,Hue, Linux, Java, Oozie, Hbase, AWS, Cloudera Hadoop.

Confidential

Linux System Administrator

Responsibilities:

• Administration, package installation, configuration of Oracle Enterprise Linux 5.x.
• Administration of RHEL, which includes installation, testing, tuning, upgrading and loading patches, troubleshooting both physical and virtual server issues.
• Creating, cloning Linux Virtual Machines.
• Installing RedHat Linux using kick start and applying security polices for hardening the server based on the company policies.
• RPM and YUM package installations, patch and other server management.
• Managing systems routine backup, scheduling jobs like disabling and enabling cron jobs, enabling system logging, network logging of servers for maintenance, performance tuning, testing.
• Tech and non-tech refresh of Linux servers, which includes new hardware, OS, upgrade, application installation, testing.
• Set up user and group login ID's, printing parameters, network configuration, password, resolving permissions issues, and user and group quota.
• Creating physical volumes, volume groups, and logical volumes.
• Gathering requirements from customers and business partners and design, implement and provide solutions in building the environment.
• Installing and configuring Apache and supporting them on Linux production servers.