SUMMARY

• Over 9+ years of experience in Information Technology which includes experience inBigdata, HADOOPEcosystem,Core Java/J2EEand strong in Design, Software processes, Requirement gathering, Analysis anddevelopment of software applications
• Excellent Hands on Experience in developing HadoopArchitecture in Windows and Linux platforms.
• Experience in building bigdata solutions using Lambda Architecture using Cloudera distribution of Hadoop, TwitterStorm, Trident, MapReduce, Cascading, HIVE, PIG and Sqoop.
• Strong development experience inJava/JDK 7, JEE6, Maven, Jenkins, Jersey, Servlets, JSP, Struts, Spring, Hibernate, JDBC,JavaBeans, JMS, JNDI, XML, XML Schema, Web Services, SOAP, JUnit, ANT, Log4j, HTML, JavaScript, Node JS, React JS, Angular Js.
• Expertise in various components ofHadoopEcosystem - Map Reduce, Hive, Pig, Sqoop, Impala, Flume, Oozie, HBase, MongoDb, Cassandra, Scala, Spark, Kafka, YARN.
• Experienced in J2EE Design Patterns such as MVC, Business Delegate, Service Locator, Singleton, Transfer Object, Singleton, Session Façade, and Data Access Object.
• Worked on Hadoop, Hive, JAVA,python, Scala Struts web framework.
• Excellent working experience onBigDataIntegration and Analytics based on Hadoop, SOLR, Spark, Kafka, Storm and web Methods technologies.
• Experienced in designing and developing applications in Spark using Scala to compare the performance of Spark wif Hive and SQL/Oracle.
• Hands on experience working on NoSQL databases including Hbase, MongoDB, Cassandra and its integration wif Hadoopcluster.
• Strong Knowledge and experience on implementing Big Data in Amazon Elastic MapReduce (Amazon EMR) for processing, managing Hadoop framework dynamically scalable Amazon EC2 instances.
• Hands on experience in writing Ad-hoc Queries for moving data from HDFS to HIVE and analyzing the data using HIVEQL.
• Good noledge in RDBMS concepts (Oracle 11g, MS SQL Server 2000) and strong SQL, PL/SQL query writing skills (by usingTOAD & SQL Developertools), StoredProcedures and Triggers.
• Expertise in developing jobs usingSparkframework modules likeSpark-Core,Spark-SQL andSparkStreaming using Java, Scala, Python.
• Expertise in Amazon Web Services including Elastic Cloud Compute (EC2) and Dynamo DB and expertise in Automating deployment of large Cassandra Clusters on EC2 using EC2 APIs
• Experienced in developing, deploying enterprise applications on IBM WebSphere, BEA WebLogic, Oracle Application Server, JBoss, Tomcat, and Jetty.
• Experienced in development and utilization of ApacheSOLR wifDataComputations and Transformation for use by Down Stream Online Applications.
• Excellent noledge of database such as Oracle 8i/9i/10g/11g, 12c, MicrosoftSQLServer, DB2, Netezza.
• Good understanding and experience wif Software Development methodologies like Agile and Waterfall.
• Experienced in importing and exportingdatausing Sqoop from HDFS (Hive & HBase) to Relational Database Systems (Oracle &Teradata) and vice-versa.
• Expertise in using IDE like WebSphere (WSAD), Eclipse, NetBeans, MyEclipse, WebLogic Workshop.
• Experienced in developing and designing Web Services (SOAP and Restful Web services).
• Highly Proficient in writing complex SQL Queries, stored procedures, triggers and very well experienced in PL/SQL or T-SQL.
• Experienced in developing Web Interface using Servlets, JSP and Custom Tag Libraries
• Absolute noledge of software development life cycle (SDLC), database design, RDBMS,data warehouse.
• Experience in writing ComplexSQLQueries involving multiple tables inner and outer joins.
• Expertise in various Java/J2EE technologies like JSP, Servlets, Hibernate, Struts, spring.
• Good noledge wif web-based UI development using jQuery UI, jQuery, ExtJS, CSS3, HTML, HTML5, XHTML and JavaScript.

TECHNICAL SKILLS

BigData: Hadoop, Storm, Hbase, Hive, Flume, Cassandra, Kafka, Storm, Sqoop, Oozie, PIG, Spark, MapReduce, ZooKeeper, Yarn, MongoDB, Cassandra, Cloudera.

Java/J2EE Techs: Spring, Hibernate, Struts, JSP, HTML, CSS, AJAX, JavaScript, JASON, Angular.js, JQuery, Servlets, EJB, Web Services, SOAP, Restful, XML, DHTML.

Operating Systems: UNIX, Mac, Linux, Windows 2000 / NT / XP / Vista, Android

Programming Languages: Java (JDK 5/JDK 6&7), R, HTML, SQL, PL/SQL

Frameworks: Hibernate 2.x/3.x, Spring 2.x/3.x,Struts 1.x/2.x and JPA

Web Services: WSDL, SOAP, Apache CXF/XFire, Apache Axis, REST, Jersey

Databases: Oracle 8i/9i/10g, Microsoft SQL Server, DB2 & MySQL 4.x/5.x

Middleware Technologies: Web sphere Message Queue, Web sphere Message Broker, XML gateway, JMS

Web Technologies: J2EE, Soap & REST Web Services, JSP, Servlets, EJB, JavaScript, Struts, spring, web works, HTML, XML, JMS, JSF and Ajax.

Testing Frameworks: Mockito, PowerMock, EasyMock

Web/Application Servers: IBM Web sphere Application server, JBoss, Apache Tomcat

Others: Software Borland Star team, Clear case, Junit, ANT, Maven, Android Platform, Microsoft Office, SQLDeveloper, DB2 control center, MicrosoftVisio, Hudson, Subversion, GIT, Nexus, Artifactory

Development Strategies: Agile, Lean Agile, Pair Programming, Water-Fall and Test Driven Development

PROFESSIONAL EXPERIENCE

Confidential, Chicago IL

Sr. BigData Developer/ Architect

Responsibilities:

• Gatheird the business requirements from the Business Partners and Subject Matter Experts and involved in installation and configuration ofHadoopEcosystem components wifHadoopAdmin.
• Working on architected solutions dat process massive amounts of data on corporate and AWS cloud based servers.
• Supported MapReducePrograms those are running on the cluster and also wrote MapReduce jobs using JavaAPI.
• Configure a number of node (Amazon EC2 spot Instance)Hadoopcluster to transfer the data from Amazon S3 to HDFS and HDFS to AmazonS3 and also to direct input and output to theHadoopMapReduce framework.
• Involved in HDFS maintenance and loading of structured and unstructureddata and importeddatafrom mainframe dataset to HDFS using Sqoop.
• Developed various automated scripts for DI (DataIngestion) and DL (DataLoading) usingpython& java map reduce.
• Handled importing ofdatafrom variousdatasources (i.e. Oracle, DB2, HBase, Cassandra, and MongoDB) to Hadoop, performed transformations using Hive, MapReduce.
• Developed prototype Spark applications using Spark-Core, Spark SQL, DataFrame API and developed several custom User defined functions in Hive & Pig using Java & python
• Developed simple and complex MapReduce programs inJavafor Data Analysis on different data formats.
• Importing the data into Spark from Kafka Consumer group using Spark Streaming APIs.
• Wrote Hivequeries fordataanalysis to meet the business requirements. Implemented Kafka Custom encoders for custom input format to loaddatainto Kafka Partitions. Real time streaming thedatausing Spark wif Kafka for faster processing.
• Configured Sparkstreaming to receive real timedatafrom the Kafka and store the streamdatato HDFS using Scala.
• Written pythonscripts for internal testing which pushes thedatareading form a file into Kafka queue which in turn is consumed by the Storm application.
• Installed and configured Flume, Hive, Pig, Sqoop and Oozie on theHadoopcluster.
• Participated in building CDH4 test cluster for implementing Kerberos authentication. Upgraded the HadoopCluster from CDH4 to CDH5 and setup High availability Cluster to Integrate the HIVE wif existing applications
• WrittenSparkapplications using Scala to interact wif the MySQL database usingSparkSQL Context and accessed Hive tables using Hive Context.
• Extensively used Spring & Hibernate Frameworks and implemented MVC architecture and worked on Spring RESTful for dependency injection.
• Implemented AWS EC2, Key Pairs, Security Groups, AutoScaling, ELB, SQS, and SNS using AWS API and exposed as the Restful Web services and implemented Reporting, Notification services using AWS API.
• Used AWS (Amazon Web services) compute servers extensively and create Snapshots of EBS Volumes. Monitor AWS EC2 Instances using Cloud Watch.
• Worked on AWS Security Groups and their rules
• Worked on Kafka, Kafka-Mirroring to ensure dat thedatais replicated wifout any loss.
• Load and transform large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts.
• Involved in migrating Hive queries into Spark transformations using Data frames, Spark SQL, SQL Context, and Scala.
• Design the solution and develop the program fordataingestion using - Sqoop, map reduce, Shell script &python
• Responsible for migrating tables from traditional RDBMS into Hive tables using Sqoop and later generate required visualizations and dashboards using Tableau.
• Worked on documentation of all Extract, Transform and Load, designed, developed, validated and deploy the Talend ETL processes for Data ware house team using PIG, HIVE.
• DevelopedSparkcode using Scala andSpark-SQL for faster testing and processing of data. Implemented scripts for loading data from UNIX file system to HDFS.
• Generate final reportingdatausing Tableau for testing by connecting to the corresponding Hivetables using HiveODBC connector.
• Implemented Storm builder topologies to perform cleansing operations before movingdatainto Cassandra.
• Developed fully customized framework usingpython, shell script, Sqoop & hive and developed export framework usingpython, Sqoop, Oracle & MySQL.
• Worked wif teams in setting upAWSEC2 instances by using differentAWSservices like S3, EBS, Elastic Load Balancer, and Auto scaling groups, IAM roles, VPC subnets and CloudWatch.
• Implemented Daily Oozie jobs dat automate parallel tasks of loading the data into HDFS and pre-processing wif Pig using Oozie co-coordinator jobs.
• Involved in importing and exporting data between HDFS and Relational Database Systems like Oracle, MySQL and SQL Server using Sqoop.
• Prototype done wif HDPKafka and Storm for click stream application.
• Updated maps, sessions and workflows as a part of ETLchange and also modified existing ETLCode and document the changes.

Environment: Hadoop, Java, Python, J2EE, MapReduce, Python, HDFS, Hbase, Hive, Pig, Linux, XML, Eclipse, Kafka, Storm, Spark, Cloudera, CDH4/5 Distribution, DB2, Scala, SQL Server, Oracle 12c, MySQL, Talend, MOngoDB, Cassandra, AWS, Tableau, Oozie, Restful, SOAP and JavaScript.

Confidential, NYC NY

Sr. Big Data Developer

Responsibilities:

• Worked on analyzing Hadoop cluster using differentbigdataanalytic tools including Flume, Pig, Hive, HBase, Oozie, ZooKeeper, Sqoop, Spark and Kafka.
• Developed Sparkcode using Scala and Spark-SQL/Streaming for faster testing and processing ofdata.
• Used SparkAPI over ClouderaHadoopYARN to perform analytics ondatain Hive.
• As aBigDataDeveloperimplemented solutions for ingestingdatafrom various sources and processing theData-at-Rest utilizingBigDatatechnologies such as Hadoop, MapReduce Frameworks, MongoDB, Hive, Oozie, Flume, Sqoop and Talend etc.
• Developed a job server (REST API, spring boot, ORACLE DB) and job shell for job submission, job profile storage, job data (HDFS) query/monitoring.
• Explored wif the Spark improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark -SQL,DataFrame, PairRDD's, SparkYARN.
• Deployed application to AWS and monitored the load balancing of different EC2 instances
• Handled importing of data from various data sources, performed transformations using Hive, MapReduce, loaded data into HDFS and Extracted the data from SQL into HDFS using Sqoop.
• Developed analytical components using Scala, Spark, Apache Mesos and Spark Stream.
• Deployed application toAWSand monitored the load balancing of different EC2 instances
• Installed Hadoop, Map Reduce, and HDFS and developed multiple MapReduce jobs in PIG and Hive fordatacleaning and pre-processing.
• Worked on Big Data Integration &Analytics based onHadoop, SOLR, Spark, Kafka, Storm and web Methods.
• Managed Hadoop jobs using Oozie workflow scheduler system for Map Reduce, Hive, Pig andSparktransformation actions.
• Extensively worked onPythonand build the custom ingest framework and worked on Rest API usingpython.
• Developed Kafka producer and consumers, Spark and HadoopMapReduce jobs.
• Used Oozie workflow engine to manage interdependentHadoopjobs and to automate several types ofHadoopjobs such as Java map-reduce Hive, Pig, and Sqoop.
• Imported thedatafrom different sources like HDFS/Hbase into SparkRDD.
• Configured deployed and maintained multi-node Dev and Test KafkaClusters.
• Strongly recommended to bring in Elastic Search and was responsible for installing, configuring and administration.
• Created Elastic Map Reduce (EMR) clusters and Configured the Data pipeline wif EMR clusters for scheduling the task runner and provisioning of Ec2 Instances on both Windows and Linux.
• Worked on AWS Relational Database Services, AWS Security Groups and their rule and implemented Reporting, Notification services using AWS API.
• Implemented AWS EC2, Key Pairs, Security Groups, Auto Scaling, ELB, SQS, and SNS using AWS API and exposed as the Restful Web services.
• Involved in converting MapReduce programs into Sparktransformations using Spark RDD's on Scala.
• Developed Sparkscripts by using ScalaShell commands as per the requirement.
• Performed transformations, cleaning and filtering on importeddatausing Hive, Map Reduce, and loaded finaldatainto HDFS.
• Implemented using SCALA and SQL for faster testing and processing of data. Real time streaming the data using wif KAFKA.
• Exploring wif theSparkfor improving the performance and optimization of the existingalgorithms in Hadoop usingSparkContext,Spark-SQL, Data Frame, Pair RDD's,SparkYARN.
• Developed and designed automation framework usingPythonand Shell scripting.
• Involved in writing Java API for Amazon Lambda to manage some of theAWSservices.
• Design & implement ETL process using Talend to load data from Worked extensively wif Sqoop for importing and exporting the data from HDFS to Relational Database systems/mainframe and vice-versa. Loading data into HDFS.
• Load thedatainto SparkRDD and do in memorydataComputation to generate the Output response.
• Worked on major components inHadoopEcosystem including Hive, PIG, HBase, HBase-Hive Integration, Scala, Sqoop and Flume.
• Developed Hive Scripts, Pig scripts, UNIX Shell scripts, programming for all ETL loading processes and converting the files into parquet in theHadoopFile System.
• Worked wif Oozie and Zookeeper to manage job workflow and job coordination in the cluster.
• Developed and written ApachePIGscripts and HIVEscripts to process the HDFSdata.
• Used Hive to find correlations between customer's browser logs in different sites and analyzed them to build risk profile for such sites.
• Utilized Agile Scrum Methodology to halp manage and organize a team of 4developerswif regular code review sessions.
• Created and maintained Technical documentation for launching HadoopClusters and for executing Hivequeries and PigScripts.

Environment: Hadoop, J2EE, JavaScript, Python, HDFS, Spark, MapReduce, Pig, Hive, Sqoop, Kafka, HBase, Oozie, Flume, Scala, Python, Java, SQL Scripting and Talend, Linux Shell Scripting, Cassandra, Zookeeper, HBase, MongoDB, Cloudera, Cloudera Manager, EC2, EMR, S3, Oracle, MySQL.

Confidential, NYC NY

Sr. Big Data/Hadoop Developer

Responsibilities:

• Worked on analyzing Hadoop cluster using differentbigdataanalytic tools including Kafka, Pig, Hive and MapReduce.
• Proactively monitored systems and services, architecture design and implementation ofHadoop deployment, configuration management, backup, and disaster recovery systems and procedures
• Configured Spark streaming to receive real timedatafrom the Kafka and store the streamdatato HDFS using Scale.
• Installed and configuredHadoop, MapReduce, HDFS (HadoopDistributed File System), developed multiple MapReduce jobs injavafor data cleaning and processing.
• Designed and configured Flume servers to collect data from the network proxy servers and store to HDFS and HBASE.
• Worked on implementing Spark using Scala and SparkSQL for faster analyzing and processing ofdata.
• Utilized Java and MySQL from day to day to debug and fix issues wif client processes
• Used JAVA, J2EE application development skills wif Object Oriented Analysis and extensively involved throughout Software Development Life Cycle (SDLC)
• Implemented AWS EC2, Key Pairs, Security Groups, AutoScaling, ELB, SQS, and SNS using AWS API and exposed as the Restful Web services.
• Involved in launching and Setup ofHADOOP/ HBASE Cluster which includes configuring different components ofHADOOPand HBASE Cluster.
• Hands-on experience of Web logic Application Server, Web Sphere Application Server, Web Sphere Portal Server, and J2EE application deployment technology
• Handled in Importing and exportingdatainto HDFS and Hive using SQOOP and Kafka
• Involved in creating Hive tables, loading thedataand writing hivequeries, which will run internally in map reduce.
• Applied MapReduce framework jobs injavafor data processing by installing and configuringHadoop, HDFS.
• Involved in developing PigScripts for changedatacapture and delta record processing between newly arriveddataand already existingdatain HDFS.
• Involved in HDFS maintenance and WEBUI it throughHadoop-JavaAPI.
• Extensively used Sqoop to get data from RDBMS sources like Teradata and Netezza.
• Implemented Reporting, Notification services using AWS API and used AWS (Amazon Web services) compute servers extensively.
• Involved in scheduling Oozieworkflow engine to run multiple Hive and pig jobs.
• Written Hive jobs to parse the logs and structure them in tabular format to facilitate TEMPeffective querying on the logdata.
• Worked on Designing and Developing ETLWorkflows using Java for processingdatain HDFS/Hbase using Oozie.
• Worked on importing the unstructureddatainto the HDFS using Flume.
• Wrote complex Hivequeries and UDFs.
• Create Snapshots of EBS Volumes. Monitor AWS EC2 Instances using Cloud Watch and worked on AWS Security Groups and their rules
• Involved in developing Shellscripts to easy execution of all other scripts (Pig, Hive, and MapReduce) and move thedatafiles wifin and outside of HDFS.
• Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs, Python and Scala.
• Worked wif NoSQL databases like Hbase in creating tables to load large sets of semi structureddata.
• Generated JavaAPIs for retrieval and analysis on No-SQL database such as HBase.
• Created ETL jobs to generate and distribute reports from MySQL database using PentahoDataIntegration.
• Worked on loadingdatafrom UNIX file system to HDFS
• Analyzed large amounts ofdatasets to determine optimal way to aggregate and report on it.

Environment: Hadoop, Java/J2EE, HDFS, MapReduce, AWS, EC2, RDS, S3, Cloud Watch, Hive Sqoop, Pig, Hbase, Apache Spark, Oozie Scheduler, Java, UNIX Shell Scripts, Kafka, Git, Maven, PLSQL, MongoDB, HBase, Cassandra, Python, Scala, Teradata, Netezza, Oracle.

Confidential, Cincinnati, OH

Sr. Java/Hadoop Developer

Responsibilities:

• Installed/Configured/Maintained ApacheHadoopclusters for application development andHadoop tools like Hive, Pig, HBase, Flume, Oozie Zookeeper and Sqoop.
• Involved in writing Client side Scripts usingJavaScripts and Server Side scripts usingJavaBeans and used servlets for handling the business.
• Developed applications inHadoopBigData technologies- Pig, Hive, Map-Reduce, Hbase and Oozie.
• Created Elastic Map Reduce (EMR) clusters and Configured the Data pipeline wif EMR clusters for scheduling the task runner.
• Developed Scala programs wif Spark for data inHadoopecosystem.
• Extensively involved in Installation and configuration of Cloudera distributionHadoop2, 3, NameNode, Secondary NameNode, JobTracker, TaskTrackers and DataNodes.
• Developed another user based Web services (SOAP) through WSDL using WebLogic application server and JAXB as binding framework to interact wif other components.
• Managed and reviewedHadoopLogfiles as a part of administration for troubleshooting purposes. Communicate and escalate issues appropriately.
• Provisioning of Ec2 Instances on both Windows and Linux and worked on AWS Relational Database Services, AWS Security Groups and their rules
• Implemented Reporting, Notification services using AWS API.
• Developed MapReduce jobs using apache commons components.
• Used Service Oriented Architecture (SOA) based SOAP and REST Web Services (JAX-RS) for integration wif other systems.
• Collected and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis
• Involved in designing and developing the application using JSTL, JSP,Javascript, AJAX, HTML, CSS and collection.
• Implemented AWS EC2, Key Pairs, Security Groups, Auto Scaling, ELB, SQS, and SNS using AWS API and exposed as the Restful Web services.
• Created HBasetables to load large sets of structured, semi-structured and unstructured data coming from UNIX, NoSQL and a variety of portfolios.
• Solved performance issues in Hive and Pig scripts wif understanding of Joins, Group and aggregation and translate to MapReduce jobs.
• Developed UDFs inJavaas and when necessary to use in PIG and HIVE queries.
• Coordinated wif various stakeholders such as the End Client, DBA Teams, Testing Team and Business Analysts.
• Developed Java Web Applications using JSP and Servlets, Struts, Hibernate, spring, RestWebServices, SOAP.
• Involved in gathering requirements and developing a project plan.
• Involved in understanding requirements, functional specifications, designing documentations and testing strategies.
• Involved in UI designing, Coding, Database Handling.
• Involved in UnitTesting and BugFixing.
• Worked over the entire Software Development Life Cycle (SDLC) as a part of a team as well as independently.
• WrittenSQLqueries to query the database and providing data extracts to users as per request.

Environment: Java1.5, JSP, Servlet, Spring, AWS EC2, RDS, S3, Hibernate 3.0, TDD, Struts framework,Hadoop, Map Reduce, HDFS, HBase, Hive, Pig, Sqoop, Flume, Kafka, Spark, Scala, ETL, Cloudera CDH ApacheHadoop, HTML, XML, Log 4j, Eclipse, Unix, Windows XP

Confidential, Des Moines, IA

Responsibilities:

• Developed web pages using Struts, JSP, Servlets, HTML and JavaScript.
• Designed and implemented the strategic modules like Underwriting, Requirements, Create Case, User Management, Team Management and Material Data Changes.
• Provide support in all phases of Software development life cycle (SDLC), quality management systems and project life cycle processes. Utilizing Database Such as MYSQL, Following HTTP and WSDL Standards to Design the REST/ SOAP Based Web API’S using XML, JSON, HTML, and DOM Technologies.
• Involved in Installation and Configuration of Tomcat, SpringSource Tool Suit, Eclipse, unittesting.
• Back end server side coding and development usingJavadata structure as a Collections including Set, List, Map, Exception Handling, Vaadin, Spring wif dependency injection, Struts Framework, Hibernate, Servlets, Action, Action Forms &Java beans, etc.
• Involved in Migrating existing distributed JSPframework to StrutsFramework, designed and involved in research of StrutsMVCframework
• Responsible for Web UI development in JavaScript using JQuery, AngularJs, and AJAX
• Developed Ajaxframework on service layer for module as benchmark
• Implemented Service and DAO layers in between Struts and Hibernate.
• Used Agile practices and Test Driven Development (TDD) techniques to provide reliable, working software.
• Designed Graphical User Interface (GUI) applications using HTML, JSP, JavaScript (JQuery), CSSand AJAX.
• Applied MVC pattern of Ajaxframework which involves creating Controllers for implementing Classes.
• Developed Spring REST Web services for opening, closing the locker door Webservice operations.
• Responsible to enhance the UI using HTML,JavaScript, XML, JSP, CSS as per the requirements and providing the client side using JQuery validations.
• Involved in write application level code to interact wif APIs, Web Services using AJAX, JSON and XML.
• Wrote lots of JSP's for maintains and enhancements of the application. Worked on Front End using Servlets, JSP and also backend using Hibernate.
• Designed and developed the UI using Strutsview component, JSP, HTML, CSS and JavaScript.
• Implemented business process, database retrievals, access of information and User Interface usingJava, Struts, and Planet Interact Framework.
• Implemented the Application using many of the Design Patterns and Object Oriented Process in the view of future requirements of Insurance domain.
• Front end development utilizing HTML5, CSS3, and JavaScript leveraging the Bootstrap framework and aJavabackend
• Used JAXB for convertingJavaObject into a XML file and for converting XML content into aJavaObject.
• Web services were built using Spring and CXF operating wifin Mule ESB; offering both REST and SOAP interfaces.
• Used Maven as the build tool for the application.
• Used JIRA for bug/task tracking and time tracking.
• Used agilemethodology for development of the application.

Environment: JavaJ2EE, JSP, JavaScript, Ajax, Swing, Spring 3.2, Eclipse 4.2, TDD, Hibernate 4.1, XML, Tomcat, Oracle 10g, JUnit, JMS, Log4j, Maven, Agile, Git, JDBC, Web service, XML, SOAP, JAX-WS, Unix MongoDB, AngularJS and Soap UI.