Hadoop/Java Developer Resume

SUMMARY

2+ years of professional experience in software development industry.
2+ years of hands on experience in Hadoop Framework and its ecosystem like Map Reduce Programming, Spark, Hive, Impala, Pig, Sqoop, HBase, Oozie, Scala, and Python.
Experience with Cloudera and Horton works distribution of Hadoop.
Experience in strong and analyzing data using HiveQL, Pig Latin and custom Map Reduce programs in Java.
Experience in design, development, and maintenance and support of Big Data Analytics usingHadoopEcosystem components like HDFS, Hive, Pig, HBase, Sqoop, Flume, MapReduce, Kafka.
Extending Hive and Pig core functionality by writing custom UDFs.
Good knowledge in using job scheduling and monitoring tools like Oozie and ZooKeeper.
Good Knowledge in creating event processing data pipelines using Kafka and Spark Streaming.
Hands on NoSQL database experience with HBase.
Good knowledge in Linux Shell scripting or Shell commands.
Experienced in installation, configuration, supporting and monitoring Hadoop clusters using Apache andCloudera, Hortonworks and MapR distributions.
Good work experience on JAVA, JDBC, Servlets and JSP.
Proficient in Java, J2ee, JDBC, Collections, Servlets, JSP, Struts, Spring, Hibernate, JSON, XML, REST, SOAP Web services, Groovy, Grails and Eclipse.
Participated in an Agile SDLC to deliver new cloud platform services and components.

TECHNICAL SKILLS

Big Data Technologies: Hadoop, MapReduce, HDFS, Hive, Pig, Sqoop, Apache Spark,Scala, Yarn, and Apache Kafka.

Languages: C, C++, Java, SQL, PL/SQL, and UML.

Java Tools & Web Technologies: J2EE, Servlets, JSP, JSTL, CSS, HTML, XHTML, CSS, XML.

Frameworks: Struts, Spring, MVC.

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

Scripting Languages: Shell Scripting, Java script.

Database: Oracle 8i/9i/10g/11g, SQL Server 7.0 /2000, DB2.

Methodologies: Agile, UML, Waterfall, and SDLC.

Version Control System: SVN.

PROFESSIONAL EXPERIENCE

Confidential

Hadoop/Java Developer

Responsibilities:

Gathered and analyzed the requirements and categorized them into user requirement specifications and functional requirement specifications leading to design and development of use cases.
Involved in full SDLC for developing of entire applications using Agile methodology.
Designed and implemented the user interface using HTML, CSS, JavaScript and SQL Server.
Involved in the UI development, including layout and front - end coding per the requirements of the client by using JavaScript and Ext JS.
Involved in initiating and successfully completing Proof of Concept on SQOOP for Pre-Processing, Increased Reliability and Ease of Scalability over traditional Oracle database.
Worked with systems engineering team to plan and deploy newHadoopenvironments and expand existingHadoopclusters.
End-to-end performance tuning of Hadoop clusters and Hadoop MapReduce routines against very large data sets.
Developed the Pig UDF'S to pre-process the data for analysis.
Involved in loading data from LINUX/UNIX file system to HDFS.
Proficient in using Cloudera Manager, an end to end tool to manage Hadoop operations.
Developed MapReduce jobs for Log Analysis, Recommendation and Analytics.
Wrote MapReduce jobs to generate reports for the number of activities created on a day, during a dumped from the multiple sources and the output was written back to HDFS.
Involved in a live production of Cloudera distribution for Hadoop cluster consisting of 20 nodes
Developed MapReduce jobs using java for cleansing, modelling, and analyzing the data.
Created Hive tables and loaded data from relational databases like MySQL and Sql Server using Sqoop.
Used MapReduce and Sqoop to load, aggregate, store and analyze web log data from different web servers.
Upgraded the Cloudera Hadoop ecosystems in the cluster usingClouderadistribution packages.
Cluster co-ordination services through Zookeeper. Debug and solve the major issues withClouderamanager by interacting with theClouderateam fromCloudera.
Installed Ecosystem Products throughClouderamanager along with other supporting operating systems and hardware in CentOS/RHEL.
Developed HadoopShell commands, MapReduce Programs, verifying managing and reviewingHadoopLog files.
Helping the developers in code deployments from DEV to UAT and then PRODUCTION throughout the process.
Experience in optimization of MapReduce algorithm using combiners and partitions to deliver the best results and worked on Application performance optimization.

Environment: Hadoop, Cloudera Manager, MapReduce, HDFS, Hive, Hbase, Java, eclipse, Sqoop, Pig.

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