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Hadoop Developer Resume

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California, CA

PROFESSIONAL SUMMARY:

  • Over 8+ years of professional IT experience which includes experience in Bigdata, Hadoopecosystem related technologies in Banking, Retail, Insurance and Communication sectors.
  • Expertize with the tools in Hadoop Ecosystem including Pig, Hive, HDFS, MapReduce, Sqoop, Spark, Kafka, Y/arn, Oozie, and Zookeeper.
  • Excellent knowledge on Hadoop ecosystems such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm
  • Experience in designing and developing applications in Spark using Scala to compare the performance of Spark with Hive and SQL/Oracle .
  • Experience in manipulating/analyzing large datasets and finding patterns and insights within structured and unstructured data. Experienced in using agile approaches, including Extreme Programming, Test - Driven Development and Agile Scrum.
  • Involved in the Agile and Scrum meetings.
  • Strong experience on IBM Big Inshights Hadoop distribution.
  • Experienced in writing complex MapReduce programs that work with different file formats like Text , Xml .
  • Experience in migrating the data using Sqoop from HDFS to Relational Database System and vice-versa according to client's requirement.
  • Extensive Experience on importing and exporting data using stream processing platforms like Flume and Kafka .
  • Experience in database design using PL/SQL to write Stored Procedures, Functions, Triggers and strong experience in writing complex queries for Oracle .
  • Strong experience in Object-Oriented Design , Analysis , Development , Testing and Maintenance.
  • Experienced in using agile approaches, including Extreme Programming, Test-Driven Development and Agile Scrum.
  • Expert in optimizing the Hive and Pig Scripts
  • Worked in large and small teams for systems requirement, design & development.
  • Key participant in all phases of software development life cycle with Analysis, Design, Development, Integration, Implementation, Debugging , and Testing of Software Applications in client server environment, Object Oriented Technology and Web based applications.
  • Experience in using various IDEs Eclipse , Java JDE
  • Experience of using build tools Sbt , Maven .
  • Preparation of Standard Code guidelines, analysis and testing documentations.
  • Domain knowledge in insurance.
  • Excellent client-facing, negotiation & conflict resolution skills; a highly motivated self-starter and team-player interacting effectively with stakeholders to translate business requirements into IT deliverable.

TECHNICAL SKILLS:

Programming Languages: SQL, PL/SQL,T SQL, Databases. SQL, T-SQL, PL/SQL, C, C++, C#, CSS, HTM, Java,JDBC

Databases: NO SQL (HBase), MY SQL,MS SQL server.

IDE s & Utilities: Eclipse and JCreator,NetBeans.

Web Dev Technologies: HTML, XML.

Protocols: TCP/IP, HTTP and HTTPS.

Operating Systems: Windows 7,8,10, Ubuntu,Unix, Linux, Red hat.

ETL tools: TableauHadoop ecosystem, Hadoop, HDFS,Map Reduce, Sqoop, Hive, PIG, HBASE, HDFS, Zookeeper, Oozie, and Kafka.

PROFESSIONAL EXPERIENCE:

Confidential, California, CA

Hadoop Developer

Responsibilities:

  • Creating ETL Process to move data from Source systems to Hadoop.
  • Create map reduce code to convert the source file in EBCDIC format to ASCII.
  • Create Data quality framework to do the basic validation of the data from source.
  • Create the Key and Split framework for adding the key columns and splitting the npi/non npi data’s
  • Experience in transforming and analyzing data using Hive QL and Pig Latin.
  • Experience in developing custom UDF/UDAF, Handling updates in hive and Apache Sentry.
  • Experience in optimizing Hive queries and performance tuning.
  • Registration of the datasets in a metadata registry that controls admittance into Hadoop.
  • Good understanding of Hadoop Data classification and Directory Structure options.
  • In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS , Job Tracker, Task Tracker, Name Node, Data Node , MRv1 and MRv2 (YARN).
  • Coordinating with offshore team and provide them analysis and guidance.
  • Involved in daily SCRUM meetings to discuss the development/progress of Sprints and was active in making scrum meetings more productive.

Environment: Hadoop-Cloudera Distribution, UNIX, Teradata, MapReduce, HDFS, Pig, Hive, Sqoop, UnixShell scripting.

Confidential, Louisville, KY

Hadoop/Java J2ee Developer

Responsibilities:

  • Performed Sqoop imports of data from Data warehouse platform to HDFS and built hive tables on top of the datasets.
  • Built ETL workflow to process data on hive tables.
  • Used HUE to create Oozie workflows to perform different kinds of actions such as hive, java &MapReduce. Worked extensively in Hive used features like UDF and UDAFs.
  • Used sequence and avro file formats and snappy compressions while storing data in HDFS. Used Efficient Columnar Storage like parquet for data used by business.
  • Worked extensively in Map Reduce using Java Well versed with features like multiple outputin MapReduce.
  • Worked on features like reading a hive table from MapReduce and making it available for all data nodes by keeping in distributed cache. Used both Hue and xml for Oozie.
  • Participated in building CDH4 test cluster for implementing Kerberos authentication. Installing Cloudera manager and Hue.

Environment: Hadoop, CDH4, Hue, Map Reduce, Hive, Pig, Sqoop, Oozie, Impala, corejava/J2EEJSON, Netezza, Maven, SVN, and Eclipse.

Confidential, Orlando, FL

Hadoop Developer

Responsibilities:

  • Designing and creating stories for the development and testing of the application.
  • Configuring and performance tuning the Sqoop jobs for importing the raw data from the data warehouse.
  • Developing hive queries using partitioning, bucketing and windowing functions.
  • Optimized hive joins for large tables and developed map reduce code for the full outer join of two large tables.
  • Designed and developed entire pipeline from data ingestion to reporting tables.
  • Creating the raw Avro data for an efficient feed to the map reduce processing.
  • Design and Develop Pig Latin scripts and Pig command line transformations for data joins and custom processing of Map reduce outputs.
  • Creating HBase tables for random read/writes by the map reduce programs.
  • Creating hive tables to the imported data for validation and debugging.
  • Creating data model, schemas and stored procedures for reporting database.
  • Designing and creating Oozie workflows to schedule and manage Hadoop, pig and Sqoop jobs.
  • Implemented custom workflow scheduler service to manage multiple independent workflows. Implemented a web application, which uses Oozie Rest API and schedule jobs.
  • Experience in using Sqoop to migrate data to and fro from HDFS and MySQL or Oracle and deployed Hive and HBase integration to perform OLAP operations on HBase data.
  • Assisted SQL Server Database Developers in code review and optimizing SQL queries.
  • Experience in Database design, Entity relationships, Database analysis, Programming SQL , Stored procedure's PL/ SQL , Packages and Triggers in Oracle and SQL Server on Windows and LINUX .
  • Actively involved in developing front-end spring web application for consumers to create custom profiles for data processing.
  • Experience migrating MapReduce programs into Spark transformations using Spark and Scala .
  • Actively involved in deploying and testing the application in different environments.
  • Configuring Hadoop Environment: Kerberos authentication, Data Nodes , Name Nodes , MapReduce , Hive , Pig , Sqoop , Oozie workflow engine.

Environment: Hadoop, MapReduce, HDFS, Pig, Hive, HBase, Oozie, Cloudera CDH4.5,5.8 SQL, Linux, Java (JDK 1.6), Eclipse IDE, Web services, DB2.

Confidential

Java Devloper

Responsibilities:

  • Analyzed Object Oriented Design and presented with UML Sequence, Class Diagrams.
  • Developed UI using HTML, JavaScript, and JSP, and developed Business Logic and Interfacing components using Business Objects, XML, and JDBC.
  • Designed user-interface and checking validations using JavaScript.
  • Managed connectivity using JDBC for querying/inserting & data management including triggers and stored procedures.
  • Developed components using Java multithreading concept.
  • Developed various EJBs (session and entity beans) for handling business logic and data manipulations from database.
  • Involved in design of JSP's and Servlets for navigation among the modules.
  • Designed cascading style sheets and XSLT and XML part of Order entry Module & Product Search Module and did client side validations with java script.
  • Hosted the application on Web Sphere.

Environment : J2EE, Java/JDK, PL/SQL, JDBC, JSP, Servlets, JavaScript, EJB, JavaBeans, UML, XML, XSLT, Oracle 9i, HTML/ DHTML, UML, JavaScript

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