Hadoop Developer Resume San Jose, CA - Hire IT People

SUMMARY

2+ years of IT experience in complete life cycle of software development using Object Oriented analysis and design using Bigdata Technologies / Hadoop ecosystem, Java, J2EE technologies.
Ability to learn new technologies and methodologies quickly.
Profound commitment and determination towards work.
Well - Organized and able to meet deadline.
Good analytical power and comprehensive problem solving abilities.
Able to work well independently or as part of a professional development team.

TECHNICAL SKILLS

Hadoop/Big Data: HDFS, MapReduce, HBase, Pig, Hive, Sqoop, Flume, Hadoop Streaming

IDE’s: Eclipse, Net beans, Oracle SQL Developer

Languages: C, C++, Java, Python, Linux shell scripts, Java Scripts, SQL

Databases: MongoDB, Oracle, MySQL

Web Servers: JBoss, Web Logic, Web Sphere, Apache Tomcat

Web Technologies: HTML, XML, JavaScript, CSS, AJAX, JSON, Servlets, JSP

PROFESSIONAL EXPERIENCE

Hadoop Developer

Confidential - San Jose, CA

Responsibilities:

Worked on Installation & configuration of a Hadoop cluster using Ambari.
Developed Java code that stream the Packet tracer data into Hive using rest full services.
Worked on migrating data from Mongo DB to Hadoop.
Worked on integrating SFDC with Hadoop.
Developed Java code that can stream Salesforce data into Hive using Streaming API.
Worked on creating and processing of different internal and external tables in Hive and performed data analytics to meet the business requirements.
Worked on Big Data Integration and Analytics based on Hadoop, Spark andKafka.
Developed Spark code using Python for faster processing of data on Hive.
Processing large data sets in parallel across the Hadoop cluster for pre-processing.
Worked on data flow between HDFS and Hive.
Written shell scripts that run multiple Hive jobs which helps to automate different hive tables incrementally which are used to generate different reports using Tableau for the Business use.
Written Java scripts that execute different MongoDB queries.
Actively participated in all the SCRUM meetings as part of Agile.
Involved in Design and spring planning meeting for the project.
Develop code according to the task assigned for the user story.
Test and promote the code to higher environment for each phase (DEV/SIT/UAT and PROD).
Test the code to meet the acceptance criteria for each user story.

Environment: s: Hadoop, Hive, Linux, Shell Scripting, Java, Eclipse, MongoDB, Kafka, Spark, Ambari.

Software Developer

Confidential

Responsibilities:

Gathered specifications from the requirements.
Developed use cases, sequence and activity diagrams in UML using Visio.
Implemented asynchronous multi-thread processing of files (Java Message Service, Message Driven Beans, PL/SQL, and Triggers).
Apache Tomcat server was used for communication with client.
Used Java Connector Architecture for reading files.
Developed entity beans for storing the persistence data.
Used JSP and HTML to design the web pages to verify information on accounts loaded for testing purpose.
Used database development environments like TOAD to access and modify the local database.
Code Walkthrough/ Test cases and Test Plans.
Participated in Unit, Integration, System, Stress testing. Wrote JUnit test cases for testing the functionality of the code.
Prepared high and low level design documents for the business modules for future references and updates.
Attended all the daily standup meeting and added my inputs for the project.
Updated the task assigned to me after development with appropriate comments.

Environment: Java (JDK 1.4), EJB 2.0, JDBC, Servlet, JSP, MQSeries, JNDI, JMS, Java, Unix, BEA Weblogic 8.1, Oracle 9i, UML, TOAD, HTML, XML, SQL, PL/SQL, JUnit.

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Hadoop Developer Resume

San Jose, CA

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