SUMMARY:

• Overall 7+ years of proactive IT experience in Analysis, Design, Development, Implementation,and Testing of software applications which includes an accomplished almost 4+ Years of experience in Big Data, Development and Design of Java based enterprise applications.
• Leveraged strong Skills in developing applications involving Big Data technologies like Hadoop, MapReduce, Yarn, Flume, Hive, Pig, Sqoop, HBase, PIvotal, Cloudera, MapR, Avro, Spark and Scala.
• Extensively worked on major components of Hadoop Ecosystem likeHDFS, HBase, Hive, Sqoop, PIG,and Mapreduce.
• Developed various scripts, numerous batch jobs to schedule various Hadoop programs.
• Experience in analyzing data using HiveQL, and custom MapReduce programs in Java.
• Hands on experience in importing and exporting data from different databases like Oracle, Mysql, into HDFS and Hive using Sqoop.
• Implemented Flume for collecting, aggregating and moving a largenumber of server logs and streaming data to HDFS.
• Hands on experience in spark, scala,and Marklogic.
• Extensively used MapReduce Design Patterns to solve complex MapReduce programs.
• Developed Hive queries for data analysis to meet the business requirements.
• Experience in extending Hive and Pig core functionality by writing custom UDFs like UDAFs and UDTFs.
• Experienced implementing Security mechanism for Hive Data.
• Extensively used ETL methodology for performing Data Profiling, Data Migration, Extraction, Transformation and loading using Talend/SSIS and designed data conversions from a wide variety of source systems.
• Extensively created mappings in Talend using tMap, tJoin, tReplicate, tParallelize, tJava, tJavarow, tDie, tAggregateRow, tWarn, tLogCatcher, tMysqlScd, tFilter, tGlobalmap etc.
• Experience with Hive Queries Performance Tuning.
• Experienced with improving data cleansing process using Pig Latin operations, transformations and join operations.
• Extensive knowledge of NoSQL database like HBase.
• Experienced with performing CRUD operations using HBase Java Client API and Rest API.
• Experience in designing both time driven and data driven automated workflows using Bedrock and Talend.
• Good knowledge in creating PL/SQL Stored Procedures, Creating indexes, Packages, Functions, Triggers, Cursors with Oracle (9i, 10g, 11g), and MySQL server.
• Expert in designing and writing on - demand UNIX shell scripts.
• Extensively worked with Object Oriented Analysis, Design (OOAD) and development of software using UML Methodology, good knowledge of J2EE design patterns and Core Java Design Patterns.
• Excellent Java development skills using J2EE Frameworks like Struts, EJBs and Web Services.
• Proficient in development methodologies such as Scrum, Agile,and Waterfall.
• Passion to excel in any assignment and have good debugging and problem solving skills.Ability to work under high pressure and close deadlines.
• Excellent adaptability, ability to learn, good analytical and programmatic skills.

TECHNICAL SKILLS:

Hadoop/Big Data Technologies: HDFS, Map Reduce, HBase, Hive, Pig, Impala, SQOOP, Flume, OOZIE, Spark, Spark QL, and Zookeeper, AWS, Cloud era, Horton works, Kafka, Avro, Big Query.

Languages: Core Java, XML, HTML and Hive QL.

J2EE Technologies: Servlets, JSP, JMS, JSTL, AJAX, DOJO, JSON and Blaze DS.

Frameworks: Spring 2, Struts 2 and Hibernate 3.

Application & Web Services: WebSphere 6.0, JBoss 4.X and Tomcat 5.

Scripting Languages: Java Script, Angular JS, Pig Latin, Python 2.7and Scala.

Database (SQL/No SQL): Oracle 9i, SQL Server 2005, MySQL, HBase and Mongo DB 2.2

IDE: Eclipse and Edit plus.

PM Tools: MS MPP, Risk Management, ESA.

Other Tools: SVN, Apache Ant, JUnit and Star UML, TOAD, Pl/SQL Developer, Perforce, JIRA, Bugzilla, Visual Source, QC, Agile Methodology.

EAI Tools: TIBCO 5.6.

Bug Tracking/ Ticketing: Mercury Quality Center and Service Now.

Operating System: Windows 98/2000, Linux /Unix and Mac.

PROFESSIONAL EXPERIENCE:

Confidential, Atlanta, Georgia

Hadoop/Big Data Developer

Responsibilities:

• Translation of functional and technical requirements into detailed architecture and design.
• Developed automated scripts for all jobs starting from pulling the data from Mainframes to HDFS system.
• Developed and Designed ETL Applications and Automated using Oozie workflows and Shell scripts with error handling and mailing System.
• Implemented nine nodes CDH4 Hadoop cluster on Ubuntu LINUX.
• Implemented Map reduce programs by joining data sets from different sources using joins.
• Optimized map reduces programs by configuring map reduce configurationally parameters and implemented optimized joins.
• Implemented map reduce solutions like Top-K, summarizations, data partitions using map reduce design patterns.
• Implemented map reduce programs to handle different file formats like Xml, Avro, sequence files and implemented compression techniques.
• Developed hive queries according to business requirement.
• Designed/created Hive Internal tables, partitions to store structured data.
• Developed Hive custom UDF's to in corporate business logics into Hive Queries.
• Used Hive Optimized file formats like ORC formats and Parquet formats.
• Implemented Hive Serializes, desterilizes to handle Avro files, used Xpath expressions to handle Xml files.
• Importing & exporting data from RDBMS through Sqoop.
• Designed Cassandra data modeling to analyze near real time analysis.
• Configured Cassandra clustered, v-nodes, replication strategies, and configured data model using data stax community.
• Ensured NFS is configured for Name Node.
• Designed/Implemented time series data analysis using Cassandra file system.
• Implemented CRUD operation on top of Cassandra data using CQL and Rest API.
• Implemented data import/export data from structured data using Sqoop import/export options.
• Implemented Sqoop saved jobs, incremental imports to import data.
• Used Compression Techniques (snappy) with file formats to leverage the storage in HDFS.
• Used cloud era manager to perform cluster monitoring, debug map reduce jobs, handle job submission on the cluster.
• Successfully migrated Legacy application to Big Data application using Hive/Pig in Production level.

Environment: Hadoop, HDFS, Map Reduce, Hive, Sqoop, OOzie, Cloudera, PIG, Java (JDK 1.6), Eclipse, MySQL and Ubuntu, Zookeeper.

Confidential, New York

Hadoop/Big Data Developer

Responsibilities:

• Involved in all phases of development activities from requirements collection to production support.
• Detailed understanding of the current system and find out the different sources of data for EMR.
• Involved in a Cluster setup.
• Performed Batch processing of logs from various data sources using MapReduce
• Automated job cloudera submission Via Jenkins scripts and Chef.
• Predictive analytics (which can monitor inventory levels and ensure product availability)
• Analysis of customers' purchasing behaviors in JMS.
• Response to value-added services based on clients' profiles and purchasing habits
• Worked on gathering and refining requirements, interviewing business users to understand and document data requirements including elements, entities,and relationships, in addition to visualization and report specifications.
• Defined UDFs using PIG and Hive in order to capture customer behavior.
• Design and implement map reduce jobs to support distributed processing using java, Hive, Spark SQL and Apache Pig, Oozie
• Integrated Apache Kafka for data ingestion.
• Create Scala, Hive external tables on the map reduce output before partitioning, bucketing is applied on top of it.
• Providing Shell scripting pivotal graphs in order to show the trends
• Maintenance of data importing scripts using HBase, Hive and Map reduce jobs
• Developed and maintain several batch jobs to run automatically depending on business requirements
• Import and export data between the environments like MySQL, HDFS and Unit testing and Deploying for internal usage monitoring performance of solution.

  Environment:Apache Hadoop, Cloudera, RHEL, Hive, HBase, PIG, HDFS, Java Map-Reduce, Core Java, Python, Maven, GIT, Jenkins, UNIX, MYSQL, Eclipse, Oozie, Sqoop, Flume and Cloudera Distribution, Oracle, Teradata,and MySql.

Confidential, Provo, Utah

Hadoop Developer Dec

Responsibilities:

• Detailed Understanding on the existing build system, Tools related for information of various products and releases and test results information
• Designed and implemented map reduce jobs to support distributed processing using java, Hive and Apache Pig.
• Developed UDF's to provide custom hive and pig capabilities using SOAP/RESTful services.
• Built a mechanism for talend, automatically moving the existing proprietary binary format data files to HDFS using a service called Ingestion service.
• Implemented a prototype to integrate PDF documents into a web application using Github.
• Comprehensive knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing, Scrum data manipulation
• Performed Scala, Data transformations in Scala, HIVE and used partitions, buckets for performance improvements.
• Written custom Input format and record reader classes for reading and processing the binary format in MapReduce.
• Written Custom writable classes for Hadoop serialization and De serialization of Time series tuples.
• Implemented Custom File loader for Pig so that we can query directly on the large Data files such as build logs
• Used Python for pattern matching in build logs to format errors and warnings
• Developed Pig Latin scripts & Shell scrip for validating the different query modes in Historian.
• Created Hive external tables on the map reduce output before partitioning; bucketing is applied on top of it.
• Improved the Performance by Scala, tuning of HIVE and map reduce using talend, ActiveMQ,and JBoss.
• Developed Daily Test engine using Python for continuous tests.
• Used Shell scripting for Jenkins job automation with Talend.
• Building a custom calculation engine which can be programmed according to user needs.
• Ingestion of data into Hadoop using Shell scripting for Scrum, Elastic Sqoop and apply data transformations and using Pig and HIVE.
• Handled the performance improvement changes to Pre Ingestion service which is responsible for generating the Big Data Format binary files from an older version of Historian
• Worked with support teams and resolved operational & performance issues
• Research, Scrum, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system
• Prepared graphs from test results posted to MIA

Environment: Apache Hadoop, Hive, Scala, PIG, HDFS, Cloud era, Java Map-Reduce, Core Java, Python, Maven, GIT, Jenkins, UNIX, MYSQL, Eclipse, Oozie, Sqoop, Flume, Oracle, My SQL, and CDH4.X.

Confidential

Hadoop Developer

Responsibilities:

• Worked on analyzing Hadoop cluster using different Big Data analytic tools including Hive, Pig and Map Reduce.
• Installed and configured the Hadoop cluster using the Cloud era's CDH distribution and monitored the cluster performance using the Cloud era Manager.
• Monitored workload, job performance and capacity planning using Cloud era Manager.
• Implemented schedulers on the Job tracker to share resources of the cluster for the Map Reduce jobs given by cluster.
• Involved in Design, develop Hive Data model, loading with data and writing Java UDF for Hive.
• Handled importing and exporting data into HDFS by developing solutions, analyzed the data using Map Reduce, Hive and produce summary results from Hadoop to downstream systems.
• Used Sqoop to import and export the data from Hadoop Distributed File System (HDFS) to RDBMS.
• Created Hive tables and loaded data from HDFS to hive tables as per the requirement.
• Established custom Map Reduces programs to analyze data and used HQL queries for data cleansing.
• Created components like Hive UDFs for missing functionality in Hive to analyze and process large volumes of data extracted from No-SQL database Cassandra.
• Collecting and aggregating substantial amounts of log data using Apache Flume and staging data in HDFS for further analysis.
• Developed workflow in Oozie to automate the tasks of loading the data into HDFS and pre-processing with Pig.
• Worked on optimization of Map Reduce algorithm using combiners and partitions to deliver the best results and worked on Application performance optimization for an HDFS cluster.
• Comprehensive Knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing, Scrum data manipulation.

Environment: Cloud era Distribution (CDH), HDFS, Pig, Hive, Map Reduce, Sqoop, Hbase, Impala, Java, SQL, Cassandra.

Confidential

B ig Data/Hadoop Developer

Responsibilities:

• Involved in the analysis, design, and development, testing phases of Software Development Life Cycle (SDLC)
• Analysis, design and development of Application based on J2EE using Struts and Tiles, Spring 2.0 and Hibernate 3.0.
• Developed the services to run Map Reduce jobs as per the daily requirement.
• Involved in creating Hive tables, loading them with data and writing hive queries.
• Involved in optimizing Hive Queries, joins to get better results for Hive ad-hoc queries.
• Used Pig to perform data transformations, event joins, filter and some pre-aggregations before storing the data into HDFS.
• Developed workflow in Oozie to automate the tasks of loading the data into HDFS and pre-processing with Pig.
• Hands on experience with NoSQL databases like HBase for POC (proof of concept) in storing URL's, images, products and supplements information at real time.
• Developed integrated dash board to perform CRUD operations on HBase data using Thrift API.
• Implemented error notification module to support team using HBase co-processors (Observers).
• Configured, integrated Flume sources, channels, destinations to analyze log data in HDFS.
• Implemented flume custom interceptors to perform cleansing operations before moving data onto HDFS.
• Involved in troubleshooting errors in Shell, Hive and Map Reduce.
• Worked on debugging, performance tuning of Hive & Pig Jobs.
• Developed Oozie workflows which are scheduled monthly.

Environment: Map Reduce, HDFS, HBase, HDP Horton, Sqoop, Data Processing Layer, HUE, AZURE, Erwin, MS Visio, Tableau, SQL, MongoDB, Oozie, UNIX, MySQL, RDBMS, Ambari, Solr Cloud, PL/SQL, TOAD, Java.

Confidential

Java Developer

Responsibilities:

• Involved in coding, designing, documenting, debugging and maintenance of several applications.
• Involved in creation of SQL tables, indexes and was involved in writing queries to read/manipulate data.
• Used JDBC to establish connection between the database and the application.
• Created the user interface using HTML, CSS and JavaScript.
• Maintenance and support of the existing applications.
• Responsible for the development of database SQL queries
• Created/modified shell scripts for scheduling and automating tasks.
• Wrote unit test cases using Junit framework.

Environment: Java, J2EE, Servlets, JSP, SQL, PL/SQL, HTML, JavaScript, CSS, Eclipse, Oracle, MYSQL, IBM WebSphere, JIRA.