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SIDHARTH KUMAR HADOOP ENGINEER E-Mail:[email protected] Mob:+91 8197 555 599 Executive Snapshot: Currently associated with HCL Technologies Ltd., Bangalore as Software Engineer from Nov. 2014 Experience with extensive (Production) Hadoop Cluster Administration and MapReduce application development An experienced team player with excellent communication and interpersonal skills who hasthe ability to work independently under pressure, can lead, motivate and influence others Knowledge on Market Risk Domain Professional Summary: 2 years of Experience as a Software Engineer in Hadoop, Linux, Spark and Java Experience with Agile methodology(Apache JIRA tool) and complete SDLC Hands on experience in Hadoop admin tasks and managing services like YARN, HDFS, Hbase, Zookeeper, Spark, Solr, Hive, Impala, Hue, Flume Hands on experience in Hadoop cluster capacity planning, performance tuning, cluster monitoring, troubleshooting Hands on experience in analyzing log files for Hadoop and ecosystem services and finding root cause Hands on experience on commissioning, decommissioning, balancing, and managing Nodes and tuning server for optimal performance of the cluster Hands on experience in installation, up gradation, configuration, supporting and managing Hadoop clusters using Cloudera (CDH5), Yarn distributions Hands on experience in application and Cluster monitoring using ITRS Geneos(monitoring tool) Hands on experience on developing MapReduce applications Good experience on design, configure and manage the backup and disaster recovery for Hadoop data Good knowledge on Linux(SUSE) server operating system and shell scripting Good Knowledge on IBM uDeploy 6.1.0, an automated deployment tool. TeamCity 9.0.5, an automated Build/Integration tool. Solace messaging platform. Good Knowledge on MapReduce Framework,Scala and Spark Technical Skills: Hadoop/Big Data HDFS, YARN,HBase,Hive,Flume,Zookeeper,Hue,Spark,Scala Java & J2EE Technologies Core Java, JDBC, Servlets, JSP Programming languages C, Java, Linux shell scripts IDE Eclipse Databases Oracle 11g, MySQL, Web Technologies & Server HTML, XML, JavaScript, CSS and Apache Tomcat

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SIDHARTH KUMAR HADOOP ENGINEER

E-Mail:[email protected]

Mob:+91 8197 555 599

Executive Snapshot:

Currently associated with HCL Technologies Ltd., Bangalore as Software Engineer from

Nov. 2014

Experience with extensive (Production) Hadoop Cluster Administration and MapReduce

application development

An experienced team player with excellent communication and interpersonal skills who hasthe ability to work independently under pressure, can lead, motivate and influence others

Knowledge on Market Risk Domain

Professional Summary:

2 years of Experience as a Software Engineer in Hadoop, Linux, Spark and Java

Experience with Agile methodology(Apache JIRA tool) and complete SDLC

Hands on experience in Hadoop admin tasks and managing services like YARN,

HDFS, Hbase, Zookeeper, Spark, Solr, Hive, Impala, Hue, Flume

Hands on experience in Hadoop cluster capacity planning, performance tuning, cluster

monitoring, troubleshooting

Hands on experience in analyzing log files for Hadoop and ecosystem services and

finding root cause

Hands on experience on commissioning, decommissioning, balancing, and managing

Nodes and tuning server for optimal performance of the cluster

Hands on experience in installation, up gradation, configuration, supporting and

managing Hadoop clusters using Cloudera (CDH5), Yarn distributions

Hands on experience in application and Cluster monitoring using ITRS

Geneos(monitoring tool)

Hands on experience on developing MapReduce applications

Good experience on design, configure and manage the backup and disaster recovery

for Hadoop data

Good knowledge on Linux(SUSE) server operating system and shell scripting

Good Knowledge on IBM uDeploy 6.1.0, an automated deployment tool. TeamCity

9.0.5, an automated Build/Integration tool. Solace messaging platform.

Good Knowledge on MapReduce Framework,Scala and Spark

Technical Skills:

Hadoop/Big Data HDFS, YARN,HBase,Hive,Flume,Zookeeper,Hue,Spark,Scala

Java & J2EE Technologies Core Java, JDBC, Servlets, JSP

Programming languages C, Java, Linux shell scripts

IDE Eclipse

Databases Oracle 11g, MySQL,

Web Technologies & Server HTML, XML, JavaScript, CSS and Apache Tomcat

Page 2: Sidharth_CV

Experience Summary: Since Nov’14 to Till Date HCL Technologies Ltd., Software Engineer

Title : Cross Product Valuation-Automatic Number Regression

Employer : HCL Technologies.

Client : Deutsche Bank.

Platform : Hadoop.

Technologies : Java, Hbase, Solr, MapReduce, Spark, Flume.

Duration : Nov’14 to– Till Date

Description : ANR is a back office umbrella application of DB. This application

collates trade information from various application within DB and will do cross product

valuations to compare trades and provide a summary of trades(match/mismatch) and trades

measure mismatch.

The goal of this project is to build an Automated Number Regression Testing tool to compare

two different builds of Risk Valuation System for a population of trades.The tool leverages the

capabilities provided by Hadoop Ecosystem etc. This umbrella application covers multiple

business which are

HSV(Historical Simulation of VAR-Value

at risk)

CPX(Counter Party Exposure)

EBA(European Banking Authority) HSSV(Historical Simulation of SVAR-

Stressed VAR) IPV(Independent Price Verification)

PV(Present Value) MR(Model Reserve)

For each business, trades are compared/evaluated against data generated by 2 environments

i.e. PROD CPX vs UAT CPX,PROD HSV vs UAT HSV,etc

Responsibilities: Working with Agile methodology(JIRA tool) to track the tasks and log efforts Installation, maintenance and support(PRODUCTION) and application support for 4

Clusters As admin involved in start to end process of hadoop cluster setup including installation,

configuration and monitoring the Hadoop Cluster Responsible for cluster maintenance, commissioning and decommissioning Datanodes,

cluster monitoring, troubleshooting, manage and review data backups, manage & review Hadoop services configurations for performance tuning

Application deployment to PRODUCTION,DR,UAT and DEV environments Disk space and physical memory management and automate manual tasks File system management and monitoring (Geneos tool) and configuring and managing

Udeploy Developing MapReduce application to automate tasks

Academics:

Bachelor of Engineering in Computer Science and Engineering from Sri Sairam Engg. College, Chennai affiliated to Anna University with 6.9 CGPA in the year 2014

Diploma in Computer Science and Engineering from Sri Sairam Polytechnic College, Chennai with 88% in the year 2011

SSLC CBSE BOARD(10th) with 65% in 2008

Personal Details: Gender Male Linguistic Abilities English, Hindi Date of Birth 28-July-1993 Current Address 3rd cross,Electronic city,Phase 2,Bangalore-560100