SUMMARY

• Result Oriented Professional building on 8+ years of progressive experience in Software Development includes application design and development along with 3+ years in Big Data/ Hadoop experience in Hadoop ecosystem such as HDFS, MapReduce, Hive, Pig, Flume, Sqoop, Zookeeper, HBase, and Spark.
• Big data development experience with Google cloud.
• Experience in working with various Hadoop distributions - Cloudera and HortonWorks.
• Experience in migrating teh data using Sqoop from Hadoop to Relational Database System and vice-versa.
• Expertise in Hadoop administration such as managing cluster, reviewing Hadoop log files.
• Experience with leveraging Hadoop ecosystem components including Pig and Hive for data analysis, Sqoop for data migration, Oozie for scheduling and HBase as a NoSQL data store.
• Good Exposure on Apache Hadoop Map Reduce programming, PIG Scripting and Distribute Application and HDFS.
• Experience in NoSQL database MongoDB and Cassandra.
• Proficient in configuring Zookeeper, Cassandra & Flume to teh existing Hadoop cluster.
• Experience in installation, configuration, supporting and managing- CloudEra's Hadoop platformalong with CDH3&4 &5 clusters.
• Familiarity on real time streaming data with Spark and Kafka.
• Experience in ETL analytics on ingested data using scripts built with Hive, Pig, Spark, MapReduce that include interactive, batch and real time processing.
• Expertise in Java/J2EE technologies such as Core Java, spring, Hibernate, JDBC, JSON, HTML, Struts, Servlets, JSP, JBOSS and JavaScript.
• Have Experience of using integrated development environment like Eclipse, Net beans, JDeveloper, My Eclipse.
• Experience in using PL/SQL to write Stored Procedures, Functions and Triggers.
• Good Experience in writing complex SQL queries with databases like DB2, Oracle 10g, MySQL, SQL Server and MS SQL Server 2005/2008.
• Extensive Experience in developing test cases, performing Unit Testing and Integration Testing using source code management tools such as GIT, SVN and Perforce.
• Strong team player, ability to work independently and in a team as well, ability to adapt to a rapidly changing environment, commitment towards learning.
• Ability to blend technical expertise with strong Conceptual, Business and Analytical skills to provide quality solutions and result-oriented problem solving technique and leadership skills.

TECHNICAL SKILLS

Big Data: Hadoop, Map Reduce, Pig, Hive, Hbase, Sqoop, Oozie, Cassandra, MongoDB, Horton Works, Kafka, Spark and Zookeeper, Big Query

Web development: HTML, Java Script, XML, PHP, JSP, Servlets, JavaScript

Databases: DB2, MySQL,MS Access, MS SQL server,Teradata, NoSQL, Vertica, Aster nCluster, SSAS, Oracle, Oracle Essbase.

Languages: Java / J2EE, HTML, SQL,Spring, Hibernate, JDBC,JSON, JavaScript

Operating Systems: Mac OS, Unix, Linux (Various Versions), Windows 2003/7/8/8.1/XP/Vista

Web/Application server: Apache Tomcat, WebLogic, WebSphere Tools Eclipse, NetBeans

Version Control: Git, SVN, Perforce

IDE’S: Intellij, Eclipse, NetBeans, JDeveloper

PROFESSIONAL EXPERIENCE

Confidential - Chicago, IL

Hadoop Consultant

Responsibilities:

• Cloudera Hadoop installation & configuration of multiple nodes using Cloudera Manager and CDH 4.X/5.X.
• Prepared low level Design document and estimated efforts for teh project.
• Developed teh UNIX scripting code for loading, filtering and storing teh data.
• Worked on NoSQL databases including HBase, MongoDB, and Cassandra.
• Installed and configured Hadoop Map Reduce, HDFS and Hive, Pig, Sqoop, Flume and Oozie on teh Hadoop cluster.
• Installing, Upgrading and Managing Hadoop Cluster on Hortonworks and within AWS.
• Experience with NoSQL data modeling with Cassandra/Hbase/MongoDB etc.
• Involved in loading data from UNIX file system to HDFS.
• Performed data analysis in Hive by creating tables, loading it with data and writing hive queries which will run internally in a MapReduce way.
• Running process improvement processes to reduce defects in order to close production issues and improve applications.
• Worked on analyzing Hadoop cluster and different big data analytic tools including Pig, HBase NoSQL database and Sqoop.
• Developed and implemented jobs in MR2 Horton Works Cluster and Cluster within AWS.
• Developed teh PIG code for loading, filtering and storing teh data.
• Developed Hive Scripts (HQL) for automating teh joins for different sources.
• Developed various Big Data workflows using Oozie.
• Big data development with cloud experience Google cloud preferred.
• Development of MapReduce programs and data migration from existing data source using Sqoop.
• Developed teh custom writable Python programs to load teh data into teh HBase.
• Developed Map Reduce Programs using MRv1 and MRv2 (YARN).
• Developed Spark SQL jobs that read data from Data Lake using Hive transform and save it in Hbase.
• Strong application DBA skills with Data modeling skills for NoSQL and relation databases.
• Built Java client that is responsible for receiving XML file using REST call and publishing it to Kafka.
• Built Kafka + Spark streaming job that is responsible for reading XML file messages from Kafka and transforming it to POJO using JAXB.
• Load log data into HDFS using Flume. Worked extensively in creating MapReduce jobs to power data for search and aggregation.
• Responsible to migrate from Hadoop to Spark frameworks, in-memory distributed computing for real time fraud detection.
• Effectively used Oozie to develop automatic workflows of Sqoop, MapReduce and Hive jobs.
• Involved in running Hadoop jobs for processing millions of records of text data for batch and online processes by using Tuned/Modified SQL.
• Responsible for designing highly scalable big data cluster to support various data storage and computation across varied big data cluster - Hadoop, Cassandra, MongoDB & Elastic Search.
• Designed and published workbooks and dashboards using Tableau Dashboard/Server 6.X/7.X

Environment: Hadoop (HDFS), HBase, Map Reduce, Hive, Spark, Kafka, Oozie, flume, Spark, Cassandra, Horton works, UNIX Shell Scripting, MongoDB, MySQL, Eclipse, Toad, and HP Vertica 6.X/7.X.

Confidential - Hartford

Hadoop/Spark Developer

Responsibilities:

• Review Business requirements documents test team to provide insights into teh data scenarios and test cases.
• Analyzing and understanding teh Business requirements and Verifying teh Business requirement document and Technical design document against requirements.
• Experience in Extract, Transform, and Load (ETL) Design, development and Testing.
• Experience working on Spark and Scala.
• Experience in scheduling teh Workflows and monitoring them. Provided Pro-Active Production Support after go-live.
• Installed and configured Hadoop MapReduce, HDFS, Developed multiple MapReduce jobs for data cleaning and preprocessing.
• Extracted and processed teh data from Legacy systems and stored it on HDFS.
• Importing and exporting data into HDFS and Hive using Sqoop.
• Involved in creating Hive tables, writing complex Hive queries to populate Hive tables.
• Generating user reports using HQL on teh data stored on HDFS.
• Experience in tuning teh HQL queries to improve teh performance.
• Experienced in managing and reviewing Hadoop log files.
• Load and transform large sets of structured, semi structured and unstructured data.
• Supported Map Reduce programs those are running on teh cluster.
• Involved in loading data from UNIX file system to HDFS.
• Used Oozie as an automation tool for running teh jobs.
• Experience working on Hadoop and utilities like HDFS, Map Reduce, SQOOP, HIVE, OOZIE, KAFKA, IMPALA, HUE.
• Experience in Unix scripting.
• Experience in utilizing Teradata utilities FastLoad, MultiLoad, BTEQ scripting, TPT and FastExport.
• Identified and performed field level compression on Teradata tables.
• Experience in testing Data Marts, Data Warehouse/ETL Applications developed in mainframe/Teradata.
• Experience in loading from various data sources like Teradata, Oracle, Fixed Width and Delimited Flat Files.
• Involved in Data Extraction from Teradata and Flat Files using SQL assistant.
• Written several complex SQL queries for validating Reports.
• Tested several stored procedures.
• Attending reviews, status meetings and participated in customer interaction.
• Debugging teh SQL-Statements and stored procedures for business scenarios.
• Performed extensive Data Validation, Data Verification against Data Warehouse.
• Analyzed teh bug reports running SQL queries against teh source system(s) to perform root-cause analysis.
• Created SQL queries to generate ad-hoc reports for teh business.
• Verifying teh Business requirement document and Technical design document against requirements.
• Worked on data profiling and data validation to ensure teh accuracy of teh data between teh warehouse and source systems.
• Created and validated teh test data environment for Staging area, loading teh Staging area with data from multiple sources.
• Created data masking rules to mask sensitive data before extracting of test data from various sources and loading of data into tables.
• Created ETL test data for all transformation rules and covered all teh scenarios required for implementing business logic.
• Developed and tested various stored procedure as part of process automation in Teradata.
• Tested teh ETL process for both before and after data cleansing process.
• Validating teh data passed to downstream systems.
• Experience in generating following Hadoop performance metrics using Cloudera Manager that portrays teh overall cluster health status on weekly basis for senior management Confidential teh bank.
• CPU and Memory Utilization for all edge nodes and Data nodes
• Disk Space Utilization on all mount points for all teh edge nodes
• Disk Space and Memory Utilization on Name Node
• Edge Node Disk Utilization by application
• Job tracker Memory used
• Average map & reduce task running
• RPC average processing time Remote procedure calls
• HDFS Cluster Disk usage by applications
• Healthy task tracker
• Block distribution across all PROD data nodes

Environment: Teradata, Hadoop, Unix, Spark, Scala, Subversion, Git, Bitbucket, DM Express, Mainframe, MS Visio, MS Office Suite, Quality Centre, MS Outlook, HP Quality Centre.

Confidential - Dallas, TX

Hadoop Consultant

Responsibilities:

• Responsible for loading teh customer's data and event logs from Kafka into HBase using REST API.
• Responsible for Cluster maintenance, adding and removing cluster nodes, Cluster Monitoring and Troubleshooting, Manage and review data backups and log files.
• Worked on debugging, performance tuning and Analyzing data using Hadoop components Hive & Pig.
• Developed data pipeline using Flume, Sqoop, Pig and Java MapReduce to ingest customer behavioral data and financial histories into HDFS for analysis.
• Developed and implemented jobs in MR2 Horton Works Cluster.
• Developed and executed Hive, Spark and PIG Queries for de-normalizing teh data.
• Created Hive tables from JSON data using data serialization framework like AVRO.
• Implemented generic export framework for moving data from HDFS to RDBMS and vice-versa.
• Worked on installing cluster, commissioning & decommissioning of DataNodes, NameNode recovery, capacity planning, and slots configuration.
• Created Hive External tables and loaded teh data in to tables and query data using HQL.
• Wrote shell scripts for rolling day-to-day processes and it is automated.
• Worked on loading data from LINUX file system to HDFS.
• Created HBase tables to store various data formats of PII data coming from different portfolios Implemented Map-reduce for loading data from oracle database to NoSQL database.
• Used Cloudera Manager for installation and management of Hadoop Cluster.
• Moved data from Hadoop to Cassandra using Bulk output format class.
• Automated all teh jobs, for pulling data from FTP server to load data into Hive tables, using Oozie workflows.
• Worked on NoSQL databases including HBase, MongoDB, and Cassandra.
• Responsible for processing unstructured data using Pig and Hive.
• Adding nodes into teh clusters & decommission nodes for maintenance.
• Created PIG script jobs in maintaining minimal query optimization.
• Worked on various Business Object Reporting functionalities such as Slice and Dice, Master/detail, User Response function and different Formulas.
• Strong experience on Apache server configuration.

Environment: Hadoop, HDFS, HBase, Pig, Hive, Spark, HortonWorks, Oozie, MapReduce, Sqoop, Cloudera, MongoDB, Cassandra, Kafka, LINUX, Java APIs, Java collection, Windows.

Confidential, Seattle, WA

Hadoop Admin/Developer

Responsibilities:

• Supported Map Reduce Programs those are running on teh cluster.
• Involved in using Pig Latin to analyze teh large scale data.
• Involved in loading data from UNIX file system to HDFS.
• Interacted with business users on regular basis to consolidate and analyze teh requirements and presented them with design results.
• Developed PIG Latin scripts to extract teh data from teh web server output files to load into HDFS.
• Involved in data visualization and provided teh files required for teh team by analyzing teh data in hive and developed Pig scripts for advanced analytics on teh data
• Created many user-defined routines, functions, before/after subroutines which facilitated in implementing some of teh complex logical solutions.
• Monitoring Hadoop scripts which take teh input from HDFS and load teh data into Hive.
• Worked on improving teh performance by using various performance tuning strategies.
• Managed teh evaluation of ETL and OLAP tools and recommended teh most suitable solutions depending on business needs.
• Migrated jobs from development to test and production environments.
• Created external tables with proper partitions for efficiency and loaded teh structured data in HDFS resulted from MR jobs.
• Involved in moving all log files generated from various sources to HDFS for further processing.
• Used Shell Scripts for loading, unloading, validating and records auditing purposes.
• Used Teradata Aster bulk load feature to bulk load flat files to Aster.
• Shell Scripts are also used for file validating, records auditing purposes.
• Used Aster UDFs to unload data from staging tables and client data for SCD which resided on Aster database.
• Extensively used SQL and PL/SQL for development of Procedures, Functions, Packages and Triggers.

Environment: Java, SQL, PL/SQL, Unix Shell Scripting, XML, Teradata Aster, Hive, Pig, Hadoop, MapReduce, Clear Case, HP Unix, Windows XP professional.

Confidential

Java Developer / Hadoop Developer

Responsibilities:

• Involved in Requirements analysis, design, and development and testing.
• Involved in developing of Group portal and Member portal applications.
• Developed front end using Struts and JSP.
• Developed PIG Latin scripts to extract teh data from teh web server output files to load into HDFS.
• Involved in data visualization and provided teh files required for teh team by analyzing teh data in hive and developed Pig scripts for advanced analytics on teh data
• Created many user-defined routines, functions, before/after subroutines which facilitated in implementing some of teh complex logical solutions.
• Monitoring Hadoop scripts which take teh input from HDFS and load teh data into Hive.
• Developed webpages using HTML, Java script, JQuery and CSS.
• Developed customized reports and Unit Testing using JUNIT.
• Used Java 1.6, spring, Hibernate, Oracle, to build teh product suite.
• Responsible for building projects in deployable files (WAR files and JAR files).
• Coded Java Servlets to control and maintain teh session state and handle user requests.
• Involved in development, and Testing, phases of teh project by following agile methodology.
• Implemented teh logging mechanism using log4j framework.
• Developed Web Services.
• Verified software errors and interacted with developers to resolve teh technical issues.
• Used Maven to build teh J2EE application.
• Wrote complex SQL queries and stored procedures.
• Involved in maintenance of different applications.

Environment: Servlet, Enterprise Javabeans, Custom Tags, Stored Procedures, JavaScript, Java, Spring Framework, Struts, Web Services, Oracle.

Confidential

Java Developer

Responsibilities:

• Involved in teh designing of teh project using UML.
• Followed J2EE Specifications in teh project.
• Designed teh user interface pages in JSP.
• Used XML and XSL for mapping teh fields in database.
• Used JavaScript for client side validations.
• Created stored procedures and triggers that are required for project.
• Created functions and views in Oracle.
• Enhanced teh performance of teh whole application using teh stored procedures and prepared statements.
• Responsible for updating database tables and designing SQL queries using PL/SQL.
• Created bean classes for communicating with database.
• Involved in documentation of teh module and project.
• Prepared test cases and test scenarios as per business requirements.
• Involved in bug fixing.
• Prepared coded applications for unit testing using JUnit.

Environment: Java, JSP, Servlets, J2EE, EJB 3, Java Beans, Oracle, HTML, DHTML, XML, XSL, JavaScript, BEA WebLogic.