SUMMARY

• Over 8+ years of professional IT experience including 4+ years in Big data ecosystem related technologies. Expertise in Big Data technologies as consultant, proven capability in project - based teamwork and also as an individual developerwif good communication skills.
• Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm.
• Experience in working wif Hadoop clusters using AWS EMR, Cloudera, Pivotal and Horton Works Distributions.
• Hands on experience in installing, configuring, and using Hadoopecosystem components like HadoopMap Reduce(MR), HDFS, HBase, Oozie, Hive, Sqoop, Pig, and Flume.
• Hands on development and implementation experience in Big Data Management Platform (BMP) using HDFS, Map Reduce, Hive, Pig, Oozie, and other Hadooprelated eco-systems(Kafka, Spark etc) as a Data Storage and Retrieval systems.
• Worked wif teh Search relevancy team to improve relevancy and ranking of search results using SOLR
• Performed importing and exporting data into HDFS and Hive using Sqoop
• Experience in managing and reviewing Hadooplog files.
• Experience in analyzing/troubleshooting from production logs to generate performance load
• Experience in analyzing data using HiveQL, Pig Latin, HBase and custom Map Reduce programs in Java.
• Experience developing debugging and testing C# scripts. C# will be used to perform teh following activities Having experience in Performing REST / SOA
• Having experience in Azure Data Factory activities,
• Having experience in PowerShell Scripting
• Experience parsing JSON, XML and semi-structured data files.
• Extending Hive and Pig core functionality by writing UDFs.
• Analyze a MapReduce job and determine input and output data paths are handled in CDH.
• Good experience installing, configuring, testing Hadoop ecosystem components.
• Well-experienced Mapper, Reducer, Combiner, Partitioner, Shuffling and Sort process along wif Custom Partitioning for efficient Bucketing.
• Experience parsing JSON, XML and semi-structured data files
• Good experience in writing PIG and Hive UDF’s according to requirements.
• Experience in MAPR to develop, build and develop HADOOP based application.
• Experience in designing both time driven and data driven automated workflows using Oozie.
• Having good Experience in Hortonworks 2.x.
• Conducted on-site POC and Pilot for IBM OPTIM product suite for data discovery, sub-setting & data masking.
• Experienced in implementing POC's to migrate iterative map reduce programs into Spark transformations using Scala
• Experience composing, orchestrating, and monitory Data Factory activities and pipelines.
• Hands on experience in Agile and Scrum methodologies.
• Extensive experience in working wif teh Customers to gather required information to analyze, provide data fix or code fix for technical problems, and providing Technical Solution documents for teh users.
• Hands on experience in application development using Java, RDBMS(ORACLE, SQL SERVER), and Linux shell scripting.
• Having experience in developing debugging and testing C# scripts
• Worked on multiple stages of Software Development Life Cycle including Development, Component Integration, Performance Testing, Deployment and Support Maintenance.
• Have flair to adapt to new software applications and products, self-starter, have excellent communication skills and good understanding of business work flow.
• Expertise in Object-oriented analysis and programming (OOAD) like UML and use of various design patterns
• Working knowledge in SQL, PL/SQL, Stored Procedures, Functions, Packages, DB Triggers and Indexes.
• Having experience in HANA DB and ETL
• Good experience in designing teh jobs and transformations and load teh data sequentially & parallel for initial and incremental loads.

TECHNICAL SKILLS

Big Data: Hadoop, MapReduce, HDFS, Hive wif Tez, Pig, Sqoop, Oozie, Zookeeper, Flum Apache Mahout, AWS, YARN, Storm, Kafka, Spark, Impala, Python, Solr and HBase MongoDB and Cassandra.

Languages: C, C++, Java, SQL, PL/SQL, UMLDatabases: Oracle 8i/9i/10g/11g, SQL Server 7.0 /2000, DB2, MS Access

Technologies: Java 5, Java 6, AJAX, Log4j, Java Help, Java API, JDBC 2.0, and Java Beans

Methodologies: CMMI, Agile Software development, Six Sigma, Quantitative,project Management, UML, Design Patterns:

Framework: Ajax, Struts 2.0, JUnit, log4j 1.2, MOCK OBJECTS, Hibernate

Application Server: Apache Tomcat 5.x 6.0, JBOSS 4.0

Tools: HTML, Java Script, XMLTesting Tools: NetBeans, Eclipse, WSAD, RAD

Operating System: UNIX, Mac OSX, Windows Hyper V

Control tools: CVS, Tortoise SVNOthers: MS Office

PROFESSIONAL EXPERIENCE

Confidential, HOUSTON, TX

SR. BIG DATA/ HADOOP DEVELOPER

Responsibilities:

• Experience wif professional software engineering practices and best practices for teh full software development life cycle including coding standards, code reviews, source control management and build processes.
• Evaluated business requirements and prepared detailed specifications that follow project guidelines required to develop written programs.
• Responsible for building scalable distributed data solutions using Hadoop.
• Work closely wif various levels of individuals to coordinate and prioritize multiple projects. Estimate scope, schedule and track projects throughout SDLC.
• Worked in teh BI team in teh area of Big Data Hadoopcluster implementation and data integration in developing large-scale system software.
• Worked in HadoopMap Reduce, HDFS Developed multiple Map Reduce jobs in java for data cleaning and processing.
• Worked extensively in creating Map Reduce jobs to power data for search and aggregation.
• Experienced in managing and reviewing Hadooplog files.
• Experienced in running Hadoopstreaming jobs to process terabytes data
• Designed a data warehouse using Hive
• Handling structured, semi structured and unstructured data
• Worked extensively wif Sqoop for importing and exporting teh data from HDFS to Relational Database systems and vice-versa.
• Developed Simple to complex Map Reduce Jobs using Hive and Pig.
• Optimized Map Reduce Jobs to use HDFS efficiently by using various compression mechanisms.
• Handled importing of data from various data sources, performed transformations using Hive, MapReduce, loaded data into HDFS and Extracted teh data from MySQL into HDFS using Sqoop
• Exported teh analyzed data to teh relational databases using Sqoop for visualization and to generate reports for teh BI team.
• Extensively used Pig for data cleansing.
• Created partitioned tables in Hive.
• Managed and reviewed Hadoop log files.
• Involved in creating Hive tables, loading wif data and writing hive queries that will run internally in MapReduce way.
• Developed Pig Latin scripts to extract teh data from teh web server output files to load into HDFS.
• Responsible to manage data coming from different sources
• Extensively used Pig for data cleansing.
• Created partitioned tables in Hive.
• Developed Pig Latin scripts to extract teh data from teh web server output files to load into HDFS
• Developed teh Pig UDF'S to pre-process teh data for analysis.
• Develop Hive queries for teh analyst
• Developed workflow in Oozie to automate teh tasks of loading teh data into HDFS and pre-processing wif Pig.
• Mentored analyst and test team for writing Hive Queries.
• Involved in teh database migrations to transfer data from one database to other and complete virtualization of many client applications
• Supports and assist QA Engineers in understanding, testing and troubleshooting.
• Written build scripts using ant/maven and participated in teh deployment of one or more production systems
• Production Rollout Support that includes monitoring teh solution post go-live and resolving any issues that are discovered by teh client and client services teams.
• Designed, documented operational problems by following standards and procedures using a software-reporting tool JIRA.

Technologies: Hadoop, MapReduce, HDFS, Hive, HBase, Sqoop, Java (jdk1.6), Pig, Flume, Oracle 11/10g, DB2, Teradata, MySQL, Eclipse, PL/SQL, Java, Linux, Shell Scripting, SQL Developer, Toad, Putty, XML/HTML, JIRA

Confidential, Baltimore, MD

BIG DATA/ HADOOP DEVELOPER

Responsibilities:

• Involved in design and development phases of Software Development Life Cycle (SDLC) using Scrum methodology
• Experience wif Big Data Analytics implementations, using Hadoop or Cloudera, Map Reduce or Horton works.
• Developed data pipeline using Flume, Sqoop, Pig and MapReduce to ingest customer behavioral data and purchase histories into HDFS for analysis.
• Performed cluster co-ordination and assisted wif data capacity planning and node forecasting using ZooKeeper.
• Extracted data from Oracle SQL server and MySQL databases to HDFS using Sqoop.
• Worked on writing and optimizing MapReduce jobs.
• Experience in writing Pig scripts to transform raw data from several data sources into forming baseline data.
• Created Hive tables to store teh processed results in a tabular format and written Hive scripts to transform and aggregate teh disparate data.
• Automated teh process for extraction of data from warehouses and weblogs into HIVE tables by developing workflows and coordinator jobs in Oozie.
• Transferred data from Hive tables to HBase via stage tables using Pig and used Impala for interactive querying of HBase tables.
• Experience in using Avro, Parquet, RCFile and JSON file formats and developed UDFs using Hive and Pig.
• Responsible for cluster maintenance, rebalancing blocks, commissioning and decommissioning of nodes, monitoring and troubleshooting, manage and review data backups and log files.
• Exported teh aggregated data onto RDBMS using Sqoop for creating dashboards in teh Tableau and developed trend analysis using statistical features.
• Responsible for building scalable distributed data solutions on a cluster using Cloudera Distribution.
• Involved in moving all log files generated from various sources to HDFS for further processing through Flume.
• Developed Sqoop scripts to import and export data from MySQL and handled incremental and updated changes into HDFS layer.
• Developed workflow in Oozie to orchestrate a series of Pig scripts to cleanse data, such as removing unnecessary information or merging many small files into large, compressed files using pig pipelines in teh data preparation stage.
• Created Hive tables and loaded teh data into tables to query using HiveQL.
• Implemented partitioning and bucketing in HIVE tables and executed teh scripts in parallel to improve teh performance.
• Created HBase tables to store various data formats as input coming from different sources.
• Developed different kind of custom filters and handled pre-defined filters on HBase data using Java API.
• Utilized Agile Scrum Methodology to manage and organize teh team wif regular code review sessions.

Technologies: Hadoop Framework, MapReduce, Hive, Sqoop, Flume, Oozie, Hadoop framework, MapReduce, HDFS, Pig, Hive, HBase, Sqoop, Java (J2EE), XML, DB2, Log4j, Linux, Java, UNIX Shell Scripting, Oracle 11g/12g, Windows NT, IBM Datastage 8.1, TOAD 9.6

Confidential, Huston, TX

BIG DATA/ HADOOP DEVELOPER

Responsibilities:

• Developed multiple MapReduce jobs in java for data cleaning and pre-processing.
• Designed and developed Oozie workflows for automating jobs.
• Mainly working on handling of Big Data Analytics and infrastructure of Hadoop, MapReduce
• Got good experience wif NoSQL database.
• Performed Map Reduce Programs those are running on teh cluster.
• Installed and configured Hive and also written Hive UDFs.
• Created HBase tables to store variable data formats of data coming from different portfolios.
• Implemented best income logic using Pig scripts.
• Exported teh analyzed data to teh relational databases using Sqoop for visualization and to generate reports for teh Business Intelligence (BI) team.
• Supported in setting up QA environment and updating configurations for implementing scripts wif Pig and Sqoop.
• Writing HadoopMR programs to get teh logs and feed into Cassandra for Analytics purpose
• Moving data from Oracle to HDFS and vice-versa using SQOOP.
• Collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis
• Worked wif different file formats and compression techniques to determine standards
• Developed Hive queries and UDF's to analyze/transform teh data in HDFS.
• Developed Hive scripts for implementing control tables logic in HDFS.
• Designed and Implemented Partitioning (Static, Dynamic), Buckets in HIVE.
• Developed Pig scripts and UDF's as per teh Business logic.
• Importing log files using Flume into HDFS and load into Hive tables to query data.
• Developed pig scripts to convert teh data from Avro to Text file format.
• Developed hive scripts for implementing control tables logic in HDFS.
• Developed Sqoop commands to pull teh data from Teradata.
• Analyzing/Transforming data wif Hive and Pig.
• Developed Oozie workflows and they are scheduled through a scheduler on a monthly basis.
• Designed and developed read lock capability in HDFS.
• Involved in End-to-End implementation of ETL logic.
• Effective coordination wif offshore team and managed project deliverable on time.
• Worked on QA support activities, test data creation and Unit testing activities.

Technologies: JDK, RedHat Linux, HDFS, Mahout, Map-Reduce, Apache Crunch, Hive, Pig, Sqoop, Flume, Zookeeper, Oozie, DB2, and HBase.

Confidential

JAVA/J2EE DEVELOPER

Responsibilities:

• Involved in various phases of Software Development Life Cycle (SDLC) of teh application like Requirement gathering, Design, Analysis and Code development.
• Prepared Use Cases, sequence diagrams, class diagrams and deployment diagrams based on UML to enforce Rational Unified Process using Rational Rose.
• Extensively worked on user interface for few modules using HTML, JSP's, and JavaScript.
• Generated Business Logic using servlets, Session beans and deployed them on Web logic server.
• Created complex SQL queries and stored procedures.
• Used Hibernate ORM framework wif spring framework for data persistence and transaction management.
• Wrote test cases in JUnit for unit testing of classes.
• Provided technical support for production environments resolving teh issues, analyzing teh defects, providing and implementing teh solution defects.
• Built and deployed Java application into multiple Unix based environments and produced both unit and functional test results along wif release notes.
• Analyzed teh banking and existing system requirements and validated them to suit J2EE architecture.
• Designed teh process flow between front-end and server side components
• Developed and implemented teh MVC Architectural Pattern using Struts Framework including JSP, Servlets, EJB, Form Bean and Action classes.
• Developed web based presentation-using JSP, AJAX using Servlets technologies and implemented using struts framework.
• Designed and developed backend java Components residing on different machines to exchange information and data using JMS.
• Involved in creating teh Hibernate POJO Objects and mapped using Hibernate Annotations.
• Used JavaScript for client-side validation and Struts Validator Framework for form validations.
• Implemented Java/J2EE Design patterns like Business Delegate and Data Transfer Object (DTO), Data Access Object.
• Written Junit Test cases for performing unit testing.
• Integrated Spring DAO for data access using Hibernate, used HQL and SQL for querying databases.
• Worked wif QA team for testing and resolving defects.
• Used ANT automated build scripts to compile and package teh application.
• Used JIRA for bug tracking and project management.

Technologies: J2EE, JSP, JDBC, Spring Core, Struts, Hibernate, Design Patterns, XML, WebLogic, Apache Axis, ANT, Clear case, JUnit, JavaScript, WebServices, SOAP, XSLT, JIRA, Oracle, PL/SQL Developer and Windows