SUMMARY:

• Having 9 years of IT experience and 3 Years of working experience in Big Data Hadoop technologies like Map Reduce, Hive, Hbase, Pig, Sqoop, Oozie, Zookeeper and HDFS.
• Experience in building, maintaining multiple HADOOP clusters (prod, dev etc.,) of different sizesand configuration and setting up the rack topology for large clusters.
• Extensive experience in HDFS,Map Reduce, PIG, Hive, Sqoop, Flume, Oozie, Zookeeper, Maven, HBase and Cassandra.
• Good Experience in core and advanced java concepts.
• Extensive experience with ETLand Query big data tools likePig Latin and Hive QL.
• Hands on experience in big data ingestion tools likeFlume and Sqoop.
• Experience intuning and troubleshooting performance issuesin Hadoop cluster.
• Implemented Proofs of Concept on Hadoop stack and different big data analytic tools.
• Migration from different databases (i.e.VSAM, DB2, Plsql and MYSQL) to Hadoop.
• Hands on No SQL database experience with HBase, Cassandra.
• Good understanding of Data Lakes.
• Experience in data management and implementation of Big Data applications using HADOOP frameworks.
• Having good knowledge of spark and spark SQL
• Good database experience using SQL Server,Stored Procedures, Cursors, Constraints and Triggers.
• Experience in designing, sizing and configuring Hadoop environments.
• Worked with application teams to install operating system,Hadoop updates, patches andversion upgradesas required.
• Extensive experience in documenting requirements, functional specifications, technical specifications.
• Highly motivated,adaptive and quick learner.
• Good functional Knowledge on Financial and Capital Markets.
• Exhibited excellent communication and leadership capabilities.
• Excellent Analytical, Problem solving and technical skills.
• Holds strong ability to handle multiple priorities and work load and also has ability to understand and adapt to new technologies and environments faster.

TECHNICAL SKILLS:

Operating System: MVS, Windows, Linux

Database: VSAM, MySQL, Oracle, No SQL, Talend, Tableau

Big Data: Apache Hadoop, Hbase, Hive, Pig, Sqoop, Oozie, Zookeeper, Flume, Kafka, Strom, Spark

Languages: Java, Pig Latin, HiveQL, COBOL, CICS, JCL, EZYTRIEVE

Technologies: Credit Card Processing Application (Vision PlusTM package) domain

Web Technologies: Servlets, JSP, XML, Tomcat, HTML, JavaScript, Prime Faces, JSF

IDE S: Eclipse, Net beans

Web Server: Tomcat

Development Methodologies: Agile/Scrum, Waterfall

PROFESSIONAL EXPERIENCE:

Confidential, New York, NY

Sr. Hadoop Developer/Team Lead

Technology: Horton works 2.0 Hadoop (Big Data), Apache Pig, Hive, SQOOP, Java, Servlets, JDBC, UNIX, MySQL, Cassandra, Maven, Spark, Kafka, Strom, Oracle, PLSQL.

Responsibilities:

• Responsible for analyzing and understanding of data Sources like iTunes, Spotify, YouTube and Facebook data.
• Developed a multithreaded framework to grab data for playback, Traffic source, Social, device, and Demographic reports from YouTube.
• Developed reusable component in java to load data from Hadoop distributed file system to ParAccel.
• Developed Map Reduce jobs to process the Music metric data. Scripts for uploading the data in ParAccel server.
• Developed Map Reduce codes for data manipulation.
• Implemented POC using Spark and Spark SQL.
• Working as an Architect for providing solutions
• Have been involved in designing & creating hive tables to upload data in Hadoop.
• Experienced in migrating all historical data from ParAccel to AWS S3 file System with help of SQOOP for feeds like iTunes Preorders, Radio Monitor and etc.
• Responsible for all the data flow and quality of data.
• Responsible for end to end development for the client.
• Have Developed Shell scripts for all process to be automated.
• Involved in Designing, development, coding, Unit testing.

Confidential, Minneapolis, MN

Sr. Hadoop Developer/Team Lead

Technology: Hadoop, Apache Pig, Hive, SQOOP, Java, Servlets, JDBC, UNIX, MySQL, Maven.

Responsibilities:

• Moved all crawl data flat files generated from various retailers to HDFS for further processing.
• Written the Apache PIG scripts to process the HDFS data.
• Created Hive tables to store the processed results in a tabular format.
• Developed the sqoop scripts in order to make the interaction between HDFS and MySQL Database.
• Involved in gathering the requirements, designing, development and testing
• Writing the script files for processing data and loading to HDFS
• Writing CLI commands using HDFS.
• Developed the UNIX shell scripts for creating the reports from Hive data.
• Completely involved in the requirement analysis phase.
• Analyzing the requirement to setup a cluster
• Created two different users (hduser for performing hdfs operations and map red user for performing map reduce operations only)
• Setting Password less Hadoop
• Setting up cron job to delete Hadoop logs/local old job files/cluster temp files
• Setup Hive with MySQL as a Remote Metastore
• Moved all log/text files generated by various products into HDFS location
• Written Map Reduce code that will take input as log files and parse the logs and structure them in tabular format to facilitate effective querying on the log data
• Created External Hive Table on top of parsed data.

Confidential, Valparaiso, FL

Sr. Hadoop Developer/Team Lead

Technology: Hadoop (CDH4), Java, Servlets, JDBC, HDFS, MapReduce, Hbase, Oozie.

Responsibilities:

• Setup Hadoop cluster
• Involved in requirements gathering, analysis.
• Understanding and designing the architecture.
• Storage of data in HDFS.
• Data is processed using MapReduceand the result is stored in Hbase and displayed as per the user requirement either Pie/Bar chart or both.
• Responsible for delivery and review of all tasks delivery
• Preparing weekly status and monthly status report
• Attending Defect calls to provide latest status to client

Confidential, Tampa, FL

Team Lead

Technology: Java, Servlets, JDBC, Vision Plus involving COBOL, CICS, MVS, JCL, MQ Series.

Responsibilities:

• Working as Project Team from client location.
• Coding and unit testing
• Analysis, resolving batch & online tickets of Production.
• Responsible for delivery and review of all tasks delivery
• Defect Fixes tracking.
• Responsible for release upgrade implementation in Production.
• Provide business analysis documents to understand the functionality of the particular incident raised, system flow.
• Handling Code Management for multiple region architecture.
• Preparing weekly status and monthly status report
• Attending Defect calls to provide latest status to clients

Confidential

Onsite Coordinator

Technology: Vision Plus involving COBOL, CICS, MVS, JCL, MQ Series, Oracle, PLSQL

Responsibilities:

• Worked as an Onsite Coordinator from client location. .
• Gathering Requirements & documenting them
• Developed automated tools for region verification before testing
• Involved in designing the environment like CICS regions, Scheduler deigning
• Handled Code Management for multi region operation which helps in parallel development of code.
• Provided timely solutions to the issues faced, which helped in meeting the deadlines of the project.
• Ensuring the quality of deliverables
• Attending defect calls and providing updates to clients on regular intervals.

Confidential

Team Lead

Technology: Vision Plus involving COBOL, CICS, MVS, JCL, and MQ Series...

Responsibilities:

• Working as Project Team from client location.
• Coding and unit testing
• Analysis, resolving batch & online tickets of Production.
• Responsible for delivery and review of all tasks delivery
• Defect Fixes tracking.
• Responsible for release upgrade implementation in Production.
• Provide business analysis documents to understand the functionality of the particular incident raised, system flow.
• Handling Code Management for multiple region architecture.
• Preparing weekly status and monthly status report
• Attending Defect calls to provide latest status to clients

Confidential

Application Programmer

Technology: Vision Plus (CMS) involving COBOL, CICS, MVS, JCL, MQ Series.

Responsibilities:

• Maintaining all the Regions (SIT, UAT, PRODUCTION)
• Refreshing all the regions on monthly basis.
• Running batches and resolving errors.
• Handling Change Requests.
• Providing Permanent solutions for the a bends in Production.
• Attending status Meeting, Conference Calls, Review Meetings