SUMMARY:

• Experience in solving various problems using data analytics and machine learning with Spark, R, Python, Hadoop ecosystem, and Tableau.
• Responsible for Implementation of MapR Hadoop Distribution, OS integration and application installations.
• Previously worked on MS SQL Server Database Administration for over four years.
• Performance Monitoring and Fine - tuning of large scale Hadoop production Clusters using Apache,
• Cloudera as well as Cloud AWS servers.
• My Areas of interest are Machine Learning and Data Processing, IT Infrastructure and Cloud Systems.

TECHNICAL SKILLS:

Programming platforms: C, C++, Python Machine learning, Apache Spark, Scala, SQL and Shell scripting. Familiarity with Hadoop HDFS, AWS S3 and R.

Data Analysis: NoSQL data stores Hadoop, MySQL, MapReduce Large - scale, distributed systems design and development Scaling, performance and scheduling and ETL techniques C, C++, Java

IT Infrastructure: Root Cause Analysis, Microsoft System Center Operations Manager, Microsoft Server Manager, VMWare, Citrix XenCenter, Symantec NetBackup Administrator, Nagios, Zenoss, NetApp, Watchdog.

Windows/Linux Skills: Active Directory, Group Policy, TCP/IP, DHCP, DNS, LDAP, PuTTY, SSH NTP, FTP, NIS, NFS, Shell Scripting, iSCI

WORK EXPERIENCE:

Hadoop administrator

Confidential

Responsibilities:

• Installed Hadoop cluster and worked with big data analysis tools including hive
• Implemented multiple nodes on cloudera
• Imported data from Linux file system to HDFS
• Performed data transfer from SQL to HBase using Sqoop worked with managing and reviewing Hadoop log file
• Worked on evaluating, architecting, installation/setup of Hortonworks 2.1/1.8 Big Data ecosystem which includes Apache Hadoop HDFS, Pig, Hive and Sqoop.
• Maintained and backed up meta - data
• Used data integration tools like Sqoop
• Supported IT department in cluster hardware upgrades.Administer, Monitor and Maintain Hadoop 0.20 cluster setup with over 100TB available storage.
• Worked on tools such as Scoop to import the data from RDBMS systems or traditional warehouse to Hadoop
• Created multi-cluster test to test the system's performance and failover
• Improved a high-performance cache, leading to a greater stability and improved performance.
• Responsible to Design & Develop the Business queries using hive.
• Designed and developed automation test scripts using Python.
• Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs, Python and Scala.
• Experience working with Hive-QL on day to day basis to retrieve data from HDFS
• Worked with developers to setup a full Hadoop system on AWD

Environment: HDFS CDH3, CDH4, Hbase, NOSQL, RHEL 4/5/6, Hive, Pig, Perl Scripting and AWS S3, EC2, Hadoop, HDFS, Pig, Sqoop, HBase, Shell Scripting, Ubuntu, Linux Red Hat

Confidential

Responsibilities:

• Expertise in successfully ramping business assignments; while working in close coordination with clients and ensuring effective service deliverables
• A proactive leader with expertise in handling market plan execution, staffing and targeted marketing; proven ability to achieve the pre-set sales targets
• Ability to manage client's expectations and build relationships with distinction of serving reputed corporate clients.
• Proficient in executing tasks and projects with proven ability to enhance operational effectiveness and meet goals within the cost, time & quality parameters
• Possess excellent analytical, relationship management and interpersonal skills