PROFESSIONAL SUMMARY:

• 8+ years of professional experience this includes Analysis, Design, Development, Integration, Deployment and Maintenance of quality software applications using Java/J2EE Technologies and Hadoop technologies.
• Experienced in installing, configuring, testing Hadoop ecosystem components on Linux /UNIX including Hadoop Administration (like Hive, pig, Sqoop etc.)
• Expertise in Java, Hadoop Map Reduce, Pig, Hive, Oozie, Sqoop, Flume, Zookeeper, Impala and NoSQL Database.
• Excellent experience on Hadoop ecosystem, In - depth understanding of Map Reduce and the Hadoop Infrastructure.
• Excellent experience in Amazon, Cloudera and Hortonworks Hadoop distribution and maintaining and optimized AWS infrastructure (EMR EC2, S3, EBS)
• Expertise in developing Spark code using Scala and Spark-SQL/Streaming for faster testing and processing of data.
• Excellent knowledge on Hadoop Architecture and ecosystems such as HDFS, Job Tracker, Task Tracker, Name Node, DataNode, YARN and Map Reduce programming paradigm.
• Experienced working with Hadoop Big Datatechnologies (hdfs and Mapreduce programs), Hadoop ecosystems
• (Hbase, Hive, pig) and NoSQL database MongoDB
• Experienced on usage of NoSQL database column-oriented HBase.
• Extensive experience in working with semi/unstructured databy implementing complex map reduce programs using design patterns.
• Experienced on major components in Hadoop Ecosystem including Hive, Sqoop, Flume &knowledge of MapReduce/HDFS Framework.
• Experienced in working with MapReduce Design patterns to solve complex MapReduce programs.
• Excellent Knowledge in Talend Big dataintegration for business demands to work towards Hadoop and NoSQL
• Hands-on programming experience in various technologies like JAVA, J2EE, HTML, XML
• Excellent Working Knowledge on Sqoop and Flume for DataProcessing
• Expertise in loading the datafrom the different datasources like (Teradata and DB2) into HDFS using Sqoop and load into partitioned Hive tables
• Experienced on Hadoop cluster maintenance including dataand metadata backups, file system checks, commissioning and decommissioning nodes and upgrades.
• Extensive experience writing custom Map Reduce programs for dataprocessing and UDFs for both Hive and Pig in Java.
• Strong experience in analysing large amounts of datasets writing Pig scripts and Hive queries.
• Extensive experienced in working with structured datausing Hive QL, join operations, writing custom UDF's and experienced in optimizing Hive Queries.
• Experienced in importing and exporting datausing Sqoop from HDFS to Relational Database.
• Expertise in job workflow scheduling and monitoring tools like Oozie.
• Experience in Apache Flume for collecting, aggregating and moving huge chunks of datafrom various sources such as webserver, telnet sources etc.
• Extensively designed and executed SQL queries to ensure dataintegrity and consistency at the backend.
• Strong experience in architecting batch style large scale distributed computing applications using tools like Flume, Map reduce, hive etc.
• Experience using various Hadoop Distributions (Cloudera, Hortonworks, MapR etc) to fully implement and leverage new Hadoop features
• Worked on custom Pig Loaders and Storage classes to work with a variety of dataformats such as JSON, Compressed CSV.
• Experience in working with different scripting technologies like Python, UNIX shell scripts.
• Strong experience in working with UNIX/LINUX environments, writing shell scripts.
• Excellent knowledge and working experience in Agile & Waterfall methodologies.
• Expertise in Web pages development using JSP, HTML, Java Script, jQuery and Ajax.
• Experience in writing database objects like Stored Procedures, Functions, Triggers, PL/SQL packages and Cursors for Oracle, SQL Server, and MySQL & Sybase databases.
• Great team player and quick learner with effective communication, motivation, and organizational skills combined with attention to details and business improvements.

TECHNICAL SKILLS:

• Hadoop/Big Data, HDFS, Map Reduce, Hive, Pig, Sqoop, Flume, Oozie
• Scala, spark, storm, Kafka, Rabbit MQ, Active MQ, Zoo Keeper.
• HBase, Cassandra, CouchDB, MongoDB.
• Cloudera, HortonWorks, MapR.
• Teradata, MS SQL Server, Oracle, Informix, Sybase, Informatica, Datastage.
• JAVA, J2EE, Spring, Hibernate EJB, Webservices (JAX-RPC, JAXP, JAXM), JMS, JNDI, Servlets, JSP, Jakarta Struts, Python.
• BEA Web Logic, IBM Websphere, JBoss, Tomcat.
• UML, OOAD.
• HTML, AJAX, CSS, XHTML, XML, XSL, XSLT, WSDL, JSON, SOAP, REST, GRAILS
• CVS, SVN, SharePoint, Clear Case, Clear Quest, Win CVS, Junit, MRUnit, Ant, Maven, Log4j, FrontPage
• Eclipse, NetBeans.
• Linux, UNIX, Windows

PROFESSIONAL EXPERIENCE:

Sr. Big Data/Hadoop Developer

Confidential - Norwalk, CT

Responsibilities:

• Involved in full life cycle of the project from Design, Analysis, logical and physical architecture modelling, development, Implementation, testing.
• Scripts were written for distribution of query for performance test jobs in Amazon Data lake.
• Created Hive Tables, loaded transactional datafrom Teradata using Sqoop and Worked with highly unstructured and semi structured dataof 2 Petabytes in size.
• Developed MapReduce (YARN) jobs for cleaning, accessing and validating the data.
• Created and worked Sqoop jobs with incremental load to populate Hive External tables.
• Developed optimal strategies for distributing the web log dataover the cluster importing and exporting the stored web log datainto HDFS and Hive using Sqoop.
• Apache Hadoop installation & configuration of multiple nodes on AWS EC2 system
• Developed Pig Latin scripts for replacing the existing legacy process to the Hadoop and the datais fed to AWS S3.
• Responsible for building scalable distributed datasolutions using Hadoop Cloudera.
• Designed and developed automation test scripts using Python
• Integrated Apache Storm with Kafka to perform web analytics and to perform click stream datafrom Kafka to HDFS.
• Writing Pig-scripts to transform raw datafrom several datasources into forming baseline data.
• Analysed the SQL scripts and designed the solution to implement using Pyspark
• Implemented Hive business logic into Hive Queries.
• Responsible for developing datapipeline with Amazon AWS to extract the datafrom weblogs and store in HDFS.
• Uploaded streaming datafrom Kafka to HDFS, HBase and Hive by integrating with storm.
• Analysed the web log datausing the HiveQL to extract number of unique visitors per day, page views, visit duration, most visited page on website.
• Supporting dataanalysis projects by using Elastic MapReduce on the Amazon Web Services (AWS) cloud performed Export and import of datainto s3.
• Worked on MongoDB by using CRUD (Create, Read, Update and Delete), Indexing, Replication and Sharding features.
• Involved in designing the row key in Hbase to store Text and JSON as key values in Hbase table and designed row key in such a way to get/scan it in a sorted order.
• Integrated Oozie with the rest of the Hadoop stack supporting several types of Hadoop jobs out of the box (such as Map-Reduce, Pig, Hive, and Sqoop) as well as system specific jobs (such as Java programs and shell scripts).
• Worked on custom talend jobs to ingest, enrich and distribute datain Cloudera Hadoop ecosystem.
• Creating Hive tables and working on them using Hive QL.
• Designed and Implemented Partitioning (Static, Dynamic) Buckets in HIVE.
• Developed multiple POCs using PySpark and deployed on the YARN cluster, compared the performance of Spark, with Hive and SQL and Involved in End-to-End implementation of ETL logic.
• Developed syllabus/Curriculum datapipelines from Syllabus/Curriculum Web Services to HBASE and Hive tables.
• Worked on Cluster co-ordination services through Zookeeper.
• Monitored workload, job performance and capacity planning using Cloudera Manager.
• Involved in build applications using Maven and integrated with CI servers like Jenkins to build jobs.
• Exported the analyzed datato the RDBMS using Sqoop for to generate reports for the BI team.
• Worked collaboratively with all levels of business stakeholders to architect, implement and test BigDatabased analytical solution from disparate sources.
• Creating the cube in talend to create different types of aggregation in the dataand also to visualize them.
• Involved in Agile methodologies, daily scrum meetings, spring planning.

Environment: Hadoop, HDFS, Map Reduce, Hive, Pig, Hbase, Sqoop, Oozie, Maven, Python, Shell Scripting, CDH, MongoDB, HBase, Cloudera, AWS (S3, EMR), SQL, Python, Scala, Spark, RDBMS, Java, HTML, Pyspark, JavaScript, WebServices, Kafka, Strom, Talend.

Hadoop Developer

Confidential - Cincinnati, OH

Responsibilities:

• Responsible for installation and configuration of Hive, Pig, Hbase and Sqoop on the Hadoop cluster and created hive tables to store the processed results in a tabular format.
• Configured Spark Streaming to receive real time datafrom the Apache Kafka and store the stream datato HDFS using Scala.
• Developed the Sqoop scripts in order to make the interaction between Hive and vertica Database.
• Processed datainto HDFS by developing solutions and analyzed the datausing Map Reduce, PIG, and Hive to produce summary results from Hadoop to downstream systems.
• Build servers using AWS: Importing volumes, launching EC2, creating security groups, auto-scaling, load balancers, Route 53, SES and SNS in the defined virtual private connection.
• Written Map Reduce code to process and parsing the datafrom various sources and storing parsed datainto HBase and Hive using HBase-Hive Integration.
• Streamed AWS log group into Lambda function to create service now incident.
• Involved in loading and transforming large sets of Structured, Semi-Structured and Unstructured data and analyzed them by running Hive queries and Pig scripts.
• Created Managed tables and External tables in Hive and loaded datafrom HDFS.
• Developed Spark code by using Scala and Spark-SQL for faster processing and testing and performed complex HiveQL queries on Hive tables.
• Scheduled several Time-based Oozie workflow by developing Python scripts.
• Developed Pig Latin scripts using operators such as LOAD, STORE, DUMP, FILTER, DISTINCT, FOREACH, GENERATE, GROUP, COGROUP, ORDER, LIMIT, UNION, SPLIT to extract datafrom datafiles to load into HDFS.
• Exporting the datausing Sqoop to RDBMS servers and processed that datafor ETL operations.
• Designing ETL DataPipeline flow to ingest the datafrom RDBMS source to Hadoop using shell script, sqoop, package and MySQL.
• End-to-end architecture and implementation of client-server systems using Scala, Java, JavaScript and related, Linux
• Optimized the Hive tables using optimization techniques like partitions and bucketing to provide better.
• Used Oozie workflow engine to manage interdependent Hadoop jobs and to automate several types of Hadoop jobs such as Java map-reduce Hive, Pig, and Sqoop.
• Implementing Hadoop with the AWS EC2 system using a few instances in gathering and analysing datalog files.
• Involved in Spark and Spark Streaming creating RDD's, applying operations -Transformation and Actions.
• Created partitioned tables and loaded datausing both static partition and dynamic partition method.
• Developed custom Apache Spark programs in Scala to analyse and transform unstructured data.
• Handled importing of datafrom various data sources, performed transformations using Hive, MapReduce, loaded datainto HDFS and Extracted the datafrom Oracle into HDFS using Sqoop
• Using Kafka on publish-subscribe messaging as a distributed commit log, have experienced in its fast, scalable and durability.
• Test Driven Development (TDD) process and extensive experience with Agile and SCRUM programming methodology.
• Implemented POC to migrate Map Reduce jobs into Spark RDD transformations using SCALA
• Scheduled map reduce jobs in production environment using Oozie scheduler.
• Involved in Cluster maintenance, Cluster Monitoring and Troubleshooting, Manage and review data backups and log files.
• Designed and implemented map reduce jobs to support distributed processing using java, Hive and Apache Pig
• Analyzing Hadoop cluster and different Big Dataanalytic tools including Pig, Hive, HBase and Sqoop.
• Improved the Performance by tuning of HIVE and map reduce.
• Research, evaluate and utilize new technologies/tools/frameworks around Hadoop ecosystem

Environment: HDFS, Map Reduce, Hive, Sqoop, Pig, Flume, Vertica, Oozie Scheduler, Java, Shell Scripts, Teradata, Oracle, HBase, MongoDB, Cloudera, AWS, Javascript, JSP, Kafka, Spark, Scala and ETL, Python.

Hadoop / big data developer

Confidential - Secaucus, NJ

Responsibilities:

• Responsible for building scalable distributed datasolutions using Hadoop
• Designed the projects using MVC architecture providing multiple views using the same model and thereby providing efficient modularity and scalability
• Custom talend jobs to ingest, enrich and distribute datain Cloudera Hadoop ecosystem.
• Downloads the data that was generated by sensors from the Patients body activities, the datawill be collected in to the HDFS system online aggregators by Kafka.
• Exploring with Spark improving the performance and optimization of the existing algorithms in Hadoop using Spark context, Spark-SQL, DataFrame, pair RDD's, Spark YARN.
• Improving the performance and optimization of existing algorithms in Hadoop using Spark context, Spark-SQL and Spark YARN using Scala.
• Implemented Spark Core in Scala to process datain memory.
• Performed job functions using Spark API's in Scala for real time analysis and for fast querying purposes.
• Spark Streaming collects this datafrom Kafka in near-real-time and performs necessary transformations and aggregation on the fly to build the common learner datamodel and persists the datain NoSQL store (Hbase).
• Have done OOP's and functional programming on SCALA.
• Used Hadoop's Pig, Hive and Map Reduce for analysing the Health insurance datato help by extracting datasets for meaningful information such as medicines, diseases, symptoms, opinions, geographic region detail etc.
• Enhanced and optimized product Spark code to aggregate, group and run datamining tasks using the Spark framework.
• Handled importing of datafrom various datasources, performed transformations using MapReduce, Spark and loaded datainto HDFS.
• Developed workflow in Oozie to orchestrate a series of Pig scripts to cleanse data, such as removing rmation or merging many small files into a handful of very large, compressed files using pig pipelines in the datapreparation stage.
• Used Pig in three distinct workloads like pipelines, iterative processing and research.
• Used Pig UDF's in Python, Java code and uses sampling of large datasets.
• Involved in moving all log files generated from various sources to HDFS for further processing through Flume and process the files by using some piggybank.
• Extensively used PIG to communicate with Hive using HCatalog and HBASE using Handlers.
• Created PIG Latin scripting and Sqoop Scripting.
• Involved in transforming datafrom legacy tables to HDFS, and HBASE tables using Sqoop
• Implemented exception tracking logic using Pig scripts
• Exported the analyzed datato the relational databases using Sqoop for visualization and to generate reports for the BI team
• Analyzed large amounts of datasets to determine optimal way to aggregate and report on it

Environment: Hadoop, Map Reduce, Spark, shark, Kafka, HDFS, Hive, Pig, Oozie, Core Java, Eclipse, Hbase, Flume, Cloudera, Oracle 10g, UNIX Shell Scripting, Scala, MongoDB, HBase, Cassandra, Python.

Sr.java/j2ee developer

Confidential

Responsibilities:

• Used JSF framework to implement MVC design pattern.
• Developed and coordinated complex high-quality solutions to clients using J2SE, J2EE, Servlets, JSP, HTML, Struts, Spring MVC, SOAP, JavaScript, JQuery, JSON and XML.
• Wrote JSF managed beans, converters, and validator's following framework standards and used explicit and implicit navigations for page navigations.
• Designed and developed Persistence layer components using Hibernate ORM tool.
• UI designed using JSF tags, Apache Tomahawk & Rich faces.
• Oracle 10g used as backend to store and fetch data.
• Experienced in using IDE's like Eclipse and Net Beans, integration with Maven
• Creating Real-time Reporting systems and dashboards using xml, MySQL, and Perl
• Working on Restful web services which enforced a stateless client server and support JSON (few changes from SOAP to RESTFUL Technology) Involved in detailed analysis based on the requirement documents.
• Involved in Design, development and testing of web application and integration projects using Object Oriented technologies such as Core Java, J2EE, Struts, JSP, JDBC, Spring Framework, Hibernate, Java Beans, Web Services (REST/SOAP), XML, XSLT, XSL, and Ant.
• Designing and implementing SOA compliant management and metrics infrastructure for Mule ESB infrastructure utilizing the SOA management components.
• Used Node JS for server-side rendering. Implemented modules into Node JS to integrate with designs and requirements.
• JAX-WS used to interact in front-end module with backend module as they are running in two different servers.
• Responsible for Offshore deliverables and provide design/technical help to the team and review to meet the quality and time lines.
• Migrated existing Struts application to Spring MVC framework.
• Provided and implemented numerous solution ideas to improve the performance and stabilize the application.
• Extensively used LDAP Microsoft Active Directory for user authentication while login.
• Developed unit test cases using JUnit.
• Created the project from scratch using Angular JS as frontend, Node Express JS as backend.
• Involved in developing Perl script and some other scripts like java script
• Tomcat is the webserver used to deploy OMS web application.
• Used SOAP Lite module to communicate with different web-services based on given WSDL.
• Prepared technical reports &documentation manuals during the program development.

Environment: JDK 1.5, JSF, Hibernate 3.0, JIRA, NodeJS, Cruise control, Log4j, Tomcat, LDAP, JUNIT, NetBeans, Windows/UNIX.

Java Developer

Confidential

Responsibilities:

• Performed analysis for the client requirements based on the developed detailed design documents.
• Developed Use Cases, Class Diagrams, Sequence Diagrams and DataModels.
• Developed STRUTS forms and actions for validation of user request dataand application functionality.
• Developed JSP's with STRUTS custom tags and implemented JavaScript validation of data.
• Developed programs for accessing the database using JDBC thin driver to execute queries, Prepared statements, Stored Procedures and to manipulate the datain the database
• Used JavaScript for the web page validation and Struts Validator for server-side validation
• Designing the database and coding of SQL, PL/SQL, Triggers and Views using IBM DB2.
• Developed Message Driven Beans for asynchronous processing of alerts.
• Used ClearCase for source code control and JUNIT for unit testing.
• Involved in peer code reviews and performed integration testing of the modules. Followed coding and documentation standards.

Environment: Java, Struts, JSP, JDBC, XML, Junit, Rational Rose, CVS, DB2, Windows.