SUMMARY

• 10 years of overall experience in IT.
• 9 +years of hands - on experience in development and design of Java and related frameworks.
• 5 years of experience in Hadoop and it's Eco-system components.
• Experience in working wif MapReduce programs using Apache Hadoop and CASCADING framework.
• Experience in setting up Hadoop clusters, both in-house as well as on the cloud (Amazon EC2).
• Experience in leading a team of 10-12 members at Confidential .
• Developed state-of-the-art Dependency manager (in place of Oozie) in Hadoop and also an application parallel to EMR. dis saved ~$20/hour/EC2 instance at Confidential .
• Developed applications wif a combination of Pig, Hive and Sqoop/Oraoop.
• Developed Python and shell scripts.
• Extended Hive and Pig core functionality by writing custom UDFs.
• Experience in analyzing data using Hive and Map Reduce programs in Java.
• Familiar wif Java virtual machine (JVM) and multi-threaded processing.
• Worked on NoSQL database - MongoDB.
• Set-up Asgard to spin-up clusters in AWS.
• Implemented Chaos Monkey on the AWS cluster at Confidential .
• Conducted POC’s on Spark.
• Experience on working wif YARN.
• Set-up SENTRY after moving to CDH 5.1.2 in the Hadoop cluster.
• Set-up code reviews wif the developers to maintain best coding practices for JAVA.
• Knowledge in job work flow scheduling and monitoring tools like Oozie, Autosys and Zookeeper.
• Experience as a Java Developer in Web/intranet, client/server technologies using Java, JDBC and SQL.
• Developed ETL pipe-lines to export/import the data from/into Salesforce.
• Contributor to the Apache Sqoop project. Submitted multiple patches to the open source community.

TECHNICAL SKILLS

Languages: JAVA, J2EE, Python

Frameworks: Struts 1.3, Spring 3.0, Play, Cascading 2.5

IDE: Eclipse (Helios)

Servers: Heroku, RAD

Database: MySql,Oracle and MongoDB (on MongoHQ)

Scripting languages: JavaScript, JQuery 1.6.4, JQuery UI

Big Data Technologies: Hadoop, Hbase, Zookeeper, Sentry, Hive, Pig, Oozie

Hadoop Distribution: Cloudera (CDH4.3.1 and CDH 5.1.2)

Others: JIRA, Bit-Bucket, Jenkins, Autosys, Teamcity, Kraken, SVN, AWS

PROFESSIONAL EXPERIENCE

Confidential, Beaverton, Oregon

Senior Hadoop Developer

Responsibilities:

• Helped to architect the production and pre-production (development) Hadoop clusters.
• Leading a team of 10 Hadoop developers, 2 admin's and 2 tester's.
• Set-up Cloudera's CDH4.3.1 and upgraded to CDH 5.1.2 after multiple interactions wif the Cloudera team.
• Developed Map-Reduce programs to clean and aggregate the data. We use cascading framework for the latest map-reduce jobs.
• Developed Hive queries to aggregate the click-stream data, dat was imported into HDFS using Sqoop.
• Developed PIG scripts which can perform multiple aggregations on a single data set.
• Configured the above jobs in Autosys.
• Meeting wif the business on a weekly basis to collect their requirements, which will need the Big Data architecture to step-in.
• Working on a POC on Spark in AWS.
• Developed a migration plan to move the Big Data platform onto the Cloud wif Cloudera CDH 5.1.2.

Environment: JAVA, HADOOP, CASCADING, HIVE, OOZIE, CHAOS MONKEY, KERBEROS, PIG, AUTOSYS, TEAMCITY, KRAKEN, CDH 4.3.1 (migrated to CDH 5.1.2), ASGARD

Confidential

Senior Hadoop Developer

Responsibilities:

• Set-up a Hadoop cluster in Amazon EC2.
• Developed Map-Reduce programs and Hive queries to aggregate the raw data (granularity - daily), dat was pushed to HDFS.
• Developed Map-reduce programs to make logical changes to the incoming granular data. dis data was tan sent to PIG scripts for processing.
• dis aggregated data is tan pushed to MongoDB, which is hosted on MongoHQ, to serve the BI/ad-hoc reporting functionality dat we offer in Salesforce.
• Set-up Hadoop cluster locally as well as on Amazon EC2.
• Set-up MongoDB on MongoHQ, to place the aggregated data into it.
• Utilized Oozie to manage the flow of jobs in the cluster.
• Developed a Bulk API, to load/extract the data into/from Salesforce.
• Used Flume to pull the data from Amazon S3 to Amazon EC2 Hadoop cluster.
• Implemented the Kerberos security in the Amazon EC2 Hadoop cluster.
• Also used HIVE to aggregate the raw data dat we get from clients.
• Contact point for the infrastructure and development team in the organization.
• Collecting on-the-fly changes from the client. These changes went into the primary version of our component.
• Presiding over the scrum team on a weekly basis and making sure dat the tasks are completed in JIRA.

Environment: JAVA HADOOP, HIVE, OOZIE, FLUME, PLAY, HEROKU, MONGODB, LZO, KERBEROS, AMAZON EC2, AMAZON S3, SALESFORCE

Confidential

Hadoop Developer

Responsibilities:

• We has written Map/Reduce programs, Pig scripts to specify the conditions to separate the fraudulent claims.
• These conditions were derived after processing the past 20 years of health care data dat we possesses.
• dis data was exported into HDFS using Sqoop.
• Hive was used to integrate wif Micro-Strategy - to produce results quickly based on the report dat was requested.
• Flume was used to collect the logs wif error messages across the cluster.
• Oozie and Zoo-keeper were used to manage the flow of jobs and coordination in the cluster respectively.
• LZO compression technique was used to make optimum utilization of the network bandwidth.
• Kerberos security was implemented to safeguard the cluster.
• Played a key-role is setting up a Hadoop cluster (in-house).
• Lead a team which consisted of 3 resources.
• Worked on a stand-alone as well as a distributed Hadoop.
• Worked on a Hortonworks & Cloudera Hadoop distribution.
• Updated the classification levels dat were achieved on the data every day to the on-site team.
• Integrated RHadoop using connectors, wif the cluster dat we has set-up.

Environment: JAVA, HADOOP, HIVE, PIG, SQOOP, FLUME, HBASE, CDH 4.0.1

Confidential, Chicago, IL

Programmer Analyst

Responsibilities:

• Worked on STRUTS and ORACLE. Gained a very good hands-on experience.
• Developed the UI screens using web technologies like Javascript, JQuery, CSS.
• Worked on JAVA code to write map-reduce programs and SQOOP the data from ORACLE database.
• Made enhancements to the applications which presented me wif an opportunity to go through the entire SDLC.
• Providing daily updates to the on-site team over a call and making enhancements.
• Mentored in a few enhancements which has gone through the PERF and UAT environments and are now live in production.

Environment: JSP, STRUTS, JQUERY, CSS, ORACLE, DOS, JAVA, HIBERNATE, XML, HADOOP, MAP-REDUCE, SQOOP.

Confidential, New York City, NY

Programmer Analyst

Responsibilities:

• Implemented reward points pages for AMEX using Java and JSP's at server and client end respectively.
• Designed unit-test cases using J-Unit.
• Collected the enhancement requirements from the clients through weekly calls.
• Updated the client manager on the tasks accomplished for the day.

Environment: JSP, STRUTS, ORACLE, JAVA.

Confidential,

Responsibilities:

• Formulated a plan by discussing wif the team member and jotted down the requirements.
• Zeroed on the technologies dat we can use for dis project by researching on multiple alternatives.
• Designed 3 pages using HTML, CSS, JavaScript and also has written JAVA code for the same.
• Wrote SQL queries to fetch the data from the database - MySQL.

Environment: JAVA, HTML, CSS, JavaScript, Tomcat, MySQL, SQL

Confidential

Responsibilities:

• Collected the requirements from the IT and CSE departments.
• Created data flow diagrams in UML.
• Participated in discussions which revolved around the enhancements dat are needed in the website.
• Wrote SQL queries to fetch the data from the database.

Environment: JAVA, HTML, CSS, JavaScript, Tomcat, Oracle, SQL