SUMMARY:

• Having 10+ years of experience in IT which includes Analysis, Design, Development of Big Data using Hadoop, design and development of web applications using JAVA, J2EE and data base and data warehousing development using My SQL, Oracle and Informatica.
• Around 5+ years of work experience on Big Data Analytics with hands on experience in installing, configuring and using ecosystem components like Hadoop Map reduce, HDFS, HBase, Zookeeper, Hive, Sqoop, Pig, Flume, Cassandra, Kafka and Spark.
• Good Understanding of Hadoop architecture and Hands on experience with Hadoop components such as Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce concepts and HDFS Framework.
• Experience in using Cloudera Manager for installation and management of single - node and multi-node Hadoop cluster (CDH4&CDH5).
• Experience in Data load management, importing & exporting data using SQOOP & FLUME.
• Experience in analyzing data using Hive, Pig and custom MR programs in Java.
• Experience in scheduling and monitoring jobs using Oozie and Zookeeper.
• Experienced in writing Map Reduce programs & UDF's for both Pig & Hive in java.
• Experience in dealing with log files to extract data and to copy into HDFS using flume.
• Developed Hadoop test classes using MR unit for checking Input and Output.
• Experience in integrating Hive and Hbase for effective operations.
• Developed the Pig UDF'S to pre-process the data for analysis.
• Experience in Impala, Solr, MongoDB, HBase and Spark.
• Hands on knowledge of writing code in Scala.
• Proficient in Core Java, J2EE, JDBC, Servlets, JSP, Exception Handling, Multithreading, EJB, XML, HTML5, CSS3, JavaScript, AngularJS.
• Used source debuggers and visual development environments.
• Experience in Testing and documenting software for client applications.
• Writing code to create single-threaded, multi-threaded or user interface event driven applications, either stand-alone and those which access servers or services.
• Good experience in object oriented design (OOPS) concepts.
• Good experience in using Data Modelling techniques to find the results based on SQL and PL/SQL queries.
• Good working knowledge on Spring Framework.
• Strong Experience in writing SQL queries.
• Experience working with different databases, such as Oracle, SQL Server, MySQL and writing stored procedures, functions, joins, and triggers for different Data Models.
• Expertise in implementing Service Oriented Architectures (SOA) with XML based Web Services (SOAP/REST).

TECHNICAL SKILLS:

Big Data Technologies: Hadoop, HDFS, Hive, MapReduce, Pig, Sqoop, Flume, Oozie, Hadoop distribution, and Hbase,Spark

Programming Languages: Java (5, 6, 7),Python,Scala

Databases/RDBMS: MySQL, SQL/PL-SQL, MS-SQL Server 2005, Oracle 9i/10g/11g

Scripting/ Web Languages: JavaScript, HTML5, CSS3, XML, SQL, Shell

ETL Tools: Cassandra, HBASE,ELASTIC SEARCH

Operating Systems: Linux, Windows XP/7/8

Software Life Cycles: SDLC, Waterfall and Agile models

Office Tools: MS-Office,MS-Project and Risk Analysis tools, Visio

Utilities/Tools: Eclipse, Tomcat, NetBeans, JUnit, SQL, SVN, Log4j, SOAP UI, ANT, Maven, Automation and MR-Unit

Cloud Platforms: Amazon EC2

PROFESSIONAL EXPERIENCE:

Confidential, San diego, CA

Sr. Spark Scala Programmer

Responsibilities:

• Processing of incoming files using Spark native API.
• Usage of Spark Streaming and Spark SQL API to process the files.
• Developed Spark scripts by using Scala shell commands as per the requirement.
• Processing the schema oriented and non-schema oriented data using Scala and Spark.
• Developed and designed system to collect data from multiple portal using kafka and then process it using spark.
• Developed and designed automate process using shell scripting for data movement and purging.
• Used Spark API over Cloudera Hadoop YARN to perform analytics on data in Hive.
• Developed Scala scripts, UDFFs using both Data frames/SQL/Data sets and RDD/MapReduce in Spark 1.6 for Data Aggregation, queries and writing data back into OLTP system through Sqoop.
• Handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in Spark, Effective & efficient Joins, Transformations and other during ingestion process itself.
• Designed, developed and did maintenance of data integration programs in a Hadoop and RDBMS environment with both traditional and non-traditional source systems as well as RDBMS and NoSQL data stores for data access and analysis.

Environment: Apache Hadoop, HDFS, Hive, Java, Sqoop, Spark, Cloudera CDH4, Oracle, MySQL,Elastic search, Kibana, SFTP.

Confidential, Tampa, FL

Hadoop/Scala Developer

Responsibilities:

• Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs and Scala.
• Developed multiple POCs using Scala and deployed on the Yarn cluster, compared the performance of Spark, with Hive and SQL/Teradata.
• Analysed the SQL scripts and designed the solution to implement using Scala.
• Developed analytical component using Scala, Spark and Spark Stream.
• Collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis
• Developed Scripts and automated data management from end to end and sync up between all the clusters.
• Involved in creating Hive Tables, loading with data and writing Hive queries which will invoke and run MapReduce jobs in the backend.
• Developing UDFs in java for hive and pig and worked on reading multiple data formats on HDFS using Scala.
• Involved in migration from Livelink to Sharepoint using Scala through Restful web service.
• Extensively involved in developing Restful API using JSON library of Play framework.
• Used Scala collection framework to store and process the complex consumer information.
• Used Scala functional programming concepts to develop business logic.
• Designed and implemented Apache Spark Application (Cloudera)
• Importing and exporting data into HDFS Sqoop and Flume and Kafka.
• Troubleshoot and debug Hadoop ecosystem run-time issues.
• Analyzing effected code line objects and design suitable algorithms to address problem.
• Assisted in performing unit testing of Map Reduce jobs using MRUnit.
• Assisted in exporting data into Cassandra and writing column families to provide fast listing outputs.
• Used Oozie Scheduler systems to automate the pipeline workflow and orchestrate the map reduce jobs that extract
• Used Zookeeper for providing coordinating services to the cluster.
• Worked with Hue GUI in scheduling jobs with ease and File browsing, Job browsing, Metastore management.

Environment:, Scala,Spark Cloudera Manager, Pig, Sqoop, ZooKeeper, Teradata, PL/SQL, MySQL, Windows, Hbase.

Confidential, Lincolnshire, IL

Bigdata Developer

Responsibilities:

• Written Map-Reduce code to process all the log files with rules defined in HDFS(as log files generated by different devices have different xml rules).
• Developed and designed application to process data using Spark.
• Developed MapReduce jobs, Hive & PIG scripts for Data warehouse migration project.
• Developed and designed system to collect data from multiple portal using kafka and then process it using spark.
• Developing MapReduce jobs, Hive & PIG scripts for Risk & Fraud Analytics platform.
• Developed Data ingestion platform using Sqoop and Flume to ingest Twitter and Facebook data for Marketing & Offers platform.
• Developed and designed automate process using shell scripting for data movement and purging.
• Installation & Configuration Management of a small multi node Hadoop cluster.
• Installation and configuration of other open source software like Pig, Hive, Flume, Sqoop.
• Developed programs in JAVA, Scala-Spark for data reformation after extraction from HDFS for analysis.
• Written Hive jobs to parse the logs and structure them in tabular format to facilitate effective querying on the log data.
• Importing and exporting data into Impala, HDFS and Hive using Sqoop.
• Responsible to manage data coming from different sources.
• Implemented Partitioning, Dynamic Partitions and Buckets in HIVE for efficient data access.
• Developed Hive tables to transform, analyze the data in HDFS.
• Involved in creating Hive tables, loading with data and writing hive queries which will run internally in map way.
• Developed Simple to Complex Map Reduce Jobs using Hive and Pig.
• Involved in running Hadoop Jobs for processing millions of records of text data.
• Developed the application by using the Struts framework.
• Created connection through JDBC and used JDBC statements to call stored procedures.
• Developed Pig Latin scripts to extract the data from the web server output files to load into HDFS.
• Developed the Pig UDF’S to pre-process the data for analysis.
• Implemented multiple Map Reduce Jobs in java for data cleansing and pre-processing.
• Moved all RDBMS data into flat files generated from various channels to HDFS for further processing.
• Developed job workflows in Oozie to automate the tasks of loading the data into HDFS.
• Handled importing of data from various data sources, performed transformations using Hive, MapReduce, loaded data into HDFS and extracted data from Teradata into HDFS using Sqoop.
• Writing the script files for processing data and loading to HDFS.

Environment: Hadoop, MapReduce, HDFS, Pig, Hive, Java (jdk1.7), Flat files, Oracle 11g/10g, PL/SQL, SQL*PLUS, Windows NT, Sqoop.

Confidential, Morgantown, WV

Hadoop Developer

Responsibilities:

• Processed data into HDFS by developing solutions.
• Analyzed the data using Map Reduce, Pig, Hive and produce summary results from Hadoop to downstream systems.
• Used Pig as ETL tool to do transformations, event joins and some pre-aggregations before storing the data onto HDFS.
• Developed data pipeline using flume, Sqoop and pig to extract the data from weblogs and store in HDFS.
• Used Sqoop to import and export data from HDFS to RDBMS and vice-versa.
• Created Hive tables and involved in data loading and writing Hive UDFs.
• Exported the analyzed data to the relational database MySQL using Sqoop for visualization and to generate reports.
• Created HBase tables to load large sets of structured data.
• Managed and reviewed Hadoop log files.
• Involved in providing inputs for estimate preparation for the new proposal.
• Worked extensively with HIVE DDLs and Hive Query language (HQLs).
• Developed UDF, UDAF, UDTF functions and implemented it in HIVE Queries.
• Implemented SQOOP for large dataset transfer between Hadoop and RDBMs.
• Created Map Reduce Jobs to convert the periodic of XML messages into a partition avro Data.
• Used Sqoop widely in order to import data from various systems/sources (like MySQL) into HDFS.
• Created components like Hive UDFs for missing functionality in HIVE for analytics.
• Developing Scripts and Batch Job to schedule a bundle (group of coordinators) which consists of various.
• Used different file formats like Text files, Sequence Files, Avro.
• Cluster co-ordination services through Zookeeper.
• Assisted in creating and maintaining Technical documentation to launching HADOOP Clusters and even for executing Hive queries and Pig Scripts.
• Assisted in Cluster maintenance, cluster monitoring, adding and removing cluster nodes and
• Trouble shooting.
• Installed and configured Hadoop, Map Reduce, HDFS, Developed multiple Map Reduce jobs in java for data cleaning and pre-processing.

Environment: Hadoop, HDFS, Map Reduce, Hive, Pig, Sqoop, HBase, Shell Scripting, Oozie, Oracle 11g.