Hadoop administrator Resume

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

Hadoop administrator

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

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