SUMMARY

• Over 10+ years of experience in Enterprise Architecture, Information Architecture, Information Security and Project Management with most recent experience inBigData technologiesSoftware Architect, design and edifice high performance scalable systems using Big Data and implementations and testing of various client server based applications using Java and J2EE technologies.
• Architect, design & develop Big Data Solutions practice including set up Big Data roadmap, build supporting infrastructure and team to provide Big Data
• Technologies extensively worked on during my tenure in Software Development are Struts, Spring, CXF Rest API, Webservices, SOAP, XML, JMS, JSP, JNDI, Apache, Tomcat, JDBC and various Databases like Oracle, and Microsoft SQL server.
• Excellent understanding of Hadoop architecture and underlying framework including storage management.
• Strong experience in migrating data warehouses and databases into Hadoop/NoSQL platforms.
• Strong expertise on Amazon AWS EC2, S3, Kinesis and other services
• Expertise in data analysis, design and modeling using tools like ErWin.
• Expertise in Big Data architecture like hadoop (Azure, Hortonworks, Cloudera) distributed system, MongoDB, NoSQL
• Hands on experience on Hadoop /Big Data related technology experience in Storage, Querying, Processing and analysis of data.
• Experienced in using various Hadoop infrastructures such as Map Reduce, Hive, Sqoop, and Oozie.
• Expert in AmazonEMR, Spark, Kinesis, S3, Boto3, Bean Stalk, ECS, Cloudwatch, Lambda, ELB, VPC, Elastic Cache, Dynamo DB, Redshit, RDS, Aethna, Zeppelin & Airflow.
• Experienced in Collected logs data from various sources and integrated in to HDFS using Flume and experience in developing custom UDFs for Hive.
• Experienced in testing data in HDFS and Hive for each transaction of data.
• Experienced in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice - versa.
• Experienced with the Spark improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.
• Extensive knowledge in programming with Resilient Distributed Datasets (RDDs).
• Experienced in using Flume to transfer log data files to Hadoop Distributed File System (HDFS)
• Experienced with Akka building high performance and reliable distributed applications in Java and Scala.
• Knowledge and experience in job work-flow scheduling and monitoring tools like Oozie and Zookeeper.
• Good working knowledge of Amazon Web Service components like EC2, EMR, S3.
• Good experience in Shell programming.
• Knowledge in configuration and managing - Cloudera’s Hadoop platform along with CDH3&4 clusters.
• Knowledge and experience of architecture and functionality of NOSQL DB like Cassandra and Mongo DB.
• Strong Experience in Front End Technologies like JSP, HTML5, JQuery, JavaScript, CSS3.
• Experienced in application development using Java, J2EE, JDBC, spring, Junit.
• Experienced in developing web based GUIs using JavaScript, JSP, HTML, JQuery, XMLand CSS.
• Experienced to develop enterprise applications with J2EE/MVC architecture with application servers and Web servers such as, JBoss, and Apache Tomcat 6.0/7.0/8/0.
• Strong Experience in working with Databases like Oracle 11g/10g/9i, DB2, SQL Server 2008 and MySQL and proficiency in writing complex SQL queries.
• Experienced in using database tools like SQL Navigator, TOAD.
• Experience in using PL/SQL to write Stored Procedures, Functions and Triggers.
• Excellent technical and analytical skills with clear understanding of design goals of ER modeling for OLTP and dimension modeling for OLAP.
• Ability to learn and adapt quickly to the emerging new technologies and paradigms.

TECHNICAL SKILLS

Hadoop/Big Data: Map Reduce, HDFS, Hive, Pig, HBase, Zookeeper, Sqoop, Oozie, Flume, Scala, Akka, Kafka, Storm, Mongo DB

Languages: Java, J2EE, PL/SQL, Pig Latin, HQL, R, Python, XPath, Spark

Java/J2EE Technologies.: JDBC, Java Script, JSP, Servlets, JQuery

Databases: Oracle 12c/11g/10g/9i, Microsoft Access, MS SQL

No SQL Databases: Cassandra, mongo DB

Web Technologies: HTML, DHTML, XML, XHTML, JavaScript, CSS, XSLT. AWS

Web/Application servers: Apache Tomcat6.0/7.0/8.0, JBoss

Frameworks: MVC, Struts, Spring, Hibernate.

Operating Systems: UNIX, Ubuntu Linux and Windows, Centos, Sun Solaris.

Network protocols: TCP/IP fundamentals, LAN and WAN.

PROFESSIONAL EXPERIENCE

Confidential, Detroit, MI

Sr. Big Data Architect

Responsibilities:

• Architected the system for single truth of source on hadoop file system (HDFS), while enabling transparentdatamovement and access at various layers.
• Designed and Developed Real time Stream processing Application using Spark, Kafka, Scala and Hive to perform Streaming ETL and apply Machine Learning.
• Implemented solutions for ingesting data from various sources and processing the Data-at-Rest utilizing Big Data technologies such asHadoop, Map Reduce Frameworks, HBase, Hive
• Loaded and transformed large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts.
• Worked as a Hadoop consultant on (Map Reduce/Pig/HIVE/Sqoop).
• Worked with Spark and Python.
• Worked using Apache Hadoop ecosystem components like HDFS, Hive, Sqoop, Pig, and Map Reduce.
• Worked with AWS to implement the client-side encryption as Dynamo DB does not support at rest encryption at this time.
• Used Sqoop to efficiently transfer data between databases and HDFS and used Flume to stream the log data from servers.
• Implement enterprise grade platform(mark logic) for ETL from mainframe to NOSQL(cassandra).
• Experience on BI reporting with AtScale OLAP for Big Data.
• Responsible for importing log files from various sources into HDFS using Flume
• Worked on tools Flume, Storm and Spark.
• Expert in performing business analytical scripts using Hive SQL.
• Implemented continuous integration & deployment (CICD) through Jenkins for Hadoop jobs.
• Worked in writing Hadoop Jobs for analyzing data using Hive, Pig accessing Text format files, sequence files, Parquet files.
• Experience in integrating oozie logs to kibana dashboard.
• Extracted the data from MySQL, AWS RedShift into HDFS using Sqoop.
• Developed Spark code using Scala and Spark-SQL for faster testing and data processing.
• Imported millions of structured data from relational databases using Sqoop import to process using Spark and stored the data into HDFS in CSV format.
• Developed Spark streaming application to pull data from cloud to Hive table.
• Used Spark SQL to process the huge amount of structured data.
• Experience in AWS, implementing solutions using services like (EC2, S3, RDS, Redshift, VPC)
• Assigned name to each of the columns using case class option in Scala.
• Implemented Spark GraphX application to analyze guest behavior for data science segments.
• Identify query duplication, complexity and dependency to minimize migration effortsTechnology stack: Oracle, Hortonworks HDP cluster, Attunity Visibility, Cloudera Navigator Optimizer, AWS Cloud
• Exploring with the Spark for improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.
• Used Data Frame API in Scala for converting the distributed collection of data organized into named columns.
• Experienced with batch processing of data sources using Apache Spark.
• Developing predictive analytic using Apache Spark Scala APIs.
• Involved in working of big data analysis using Pig and User defined functions (UDF).
• Created Hive External tables and loaded the data into tables and query data using HQL.

Environment: Big Data, Spark, AWS, Cloudera, EMR, JDBC, Redshift, NOSQL, Spark, YARN, HIVE, Pig, Scala, Python, Hadoop.

Confidential, Tampa, FL

Big Data Architect

Responsibilities:

• Utilize AWS services with focus on big data analytics / enterprise data warehouse and business intelligence solutions to ensure optimal architecture, scalability, flexibility, availability, performance, and to provide meaningful and valuable information for better decision-making.
• All the data was loaded from our relational DBs to HIVE using Sqoop. We were getting four flat files from different vendors. These were all in different formats e.g. text, EDI and XML formats
• Objective of this project is to build a data lake as a cloud based solution in AWS using Apache Spark and provide visualization of the ETL orchestration using CDAP tool.
• Writing Hive join query to fetch info from multiple tables, writing multiple Map Reduce jobs to collect output from Hive
• Used Hive to analyze the partitioned and bucketed data and compute various metrics for reporting on the dashboard.
• Design AWS architecture, Cloud migration, AWS EMR, Redshift and event processing using lambda function.
• AWS Cloud and On-Premise environments with Infrastructure Provisioning / Configuration
• Worked on writing Perl scripts covering data feed handling, implementingmark logic, communicating with web-services through SOAP Lite module and WSDL.
• UsedHiveto analyze data ingested intoHBaseby usingHive-HBaseintegration and compute various metrics for reporting on the dashboard
• Involved in developing Map-reduce framework, writing queries scheduling map-reduce
• Developed the code for Importing and exporting data into HDFS and Hive using Sqoop
• Installed and configured Hadoop and responsible for maintaining cluster and managing and reviewing Hadoop log files.
• Developed Shell, Perl and Python scripts to automate and provide Control flow to Pig scripts.
• Design of Redshift Data model, Redshift Performance improvements/analysis
• Continuous monitoring and managing the Hadoop cluster through Cloudera Manager.
• Worked on configuring and managing disaster recovery and backup on Cassandra Data.
• Performed File system management and monitoring on Hadoop log files.
• Utilized Oozie workflow to run Pig and Hive Jobs Extracted files from Mongo DB through Sqoop and placed in HDFS and processed.
• Used Flume to collect, aggregate, and store the web log data from different sources like web servers, mobile and network devices and pushed to HDFS.
• Implemented partitioning, dynamic partitions and buckets in HIVE.
• Developed customized classes for serialization and Deserialization in Hadoop
• Analyzed large amounts of data sets to determine optimal way to aggregate and report on it.
• Implemented a proof of concept deploying this product in Amazon Web Services AWS.
• Involved in migration of data from existing RDBMS (oracle and SQL server) to Hadoop using Sqoop for processing data.
• Implemented Installation and configuration of multi-node cluster on Cloud using Amazon Web Services(AWS) on EC2.

Environment: Apache Hadoop, HDFS, Hive, Map Reduce, Cassandra, Pig, Sqoop, Kafka, Apache Cassandra, Oozie, Impala, Cloudera, AWS, Flume, Zookeeper, Java, MySQL, Eclipse, PL/SQL and Python.

Confidential, Sunnyvale, CA

JAVA/Big Data Engineer

Responsibilities:

• Developed web components using JSP, Servlets, and JDBC.
• Involved in the coding and integration of several business critical modules of CARE application usingJava, spring, Hibernate and REST web services on Web Sphere application server.
• Designed and developed Enterprise Eligibility business objects and domain objects with Object Relational Mapping framework such as Hibernate.
• Involved in BigDataProject Implementation and Support.
• Developed the Web Based Rich Internet Application (RIA) using JAVA/J2EE (spring framework).
• Involved in the coding and integration of several business critical modules of application using Java, Spring, Hibernate and REST web services on WebSphere application server.
• Used Java Messaging Services (JMS) for reliable and asynchronous exchange of important information such as payment status report on IBM WebSphere MQ messaging system.
• Developed presentation layer using Java Server Faces (JSF) MVC framework.
• Participated in JAD meetings to gather the requirements and understand the End Users System.
• Developed user interfaces using JSP, HTML, XML and JavaScript.
• Generated XML Schemas and used XML Beans to parse XML files.
• Modified the existing JSP pages using JSTL.
• Developed web pages using JSPs and JSTL to help end user make online submission of rebates. Also used XML Beans for data mapping of XML intoJavaObjects.
• Experience working withbigdataand real time/near real time analytics andbigdataplatforms like Hadoop, Spark using programming languages like Scala and Java.
• Worked closely with Business Analysts in understanding the technical requirements of each project and prepared the use cases for different functionalities and designs.
• Analyzed Business Requirements and Identified mapping documents required for system and functional testing efforts for all test scenarios.
• DeliverBigDataProducts including re-platforming Legacy Global Risk Management System with BigDataTechnologies such as Hadoop, Hive and HBase.
• Worked with NoSQL Mongo DB and heavily worked on Hive, Hbase and HDFS
• Developed Restful web services using JAX-RS and used DELETE, PUT, POST, GET HTTP methods in spring 3.0 and OSGI integrated environment.
• Created scalable and high-performance web services for data tracking and done High-speed querying.
• Developed optimal strategies for distributing the web log data over the cluster, importing and exporting the stored web log data into HDFS and Hive using Scoop.
• Collected and aggregated large amounts of web log data from different sources such as webservers, mobile and network devices using Apache Flume and stored the data into HDFS for analysis.
• Used Spring JDBC Dao as a data access technology to interact with the database.
• Developed Unit and E2E test cases using Node JS.
• Used the light weight container of the Spring Frame work to provide architectural flexibility for inversion of controller (IOC).
• Involved in end to end implementation ofBigdatadesign.
• Developed and Implemented new UI's using Angular JS and HTML.
• Developed Spring Configuration for dependency injection by using Spring IOC, Spring Controllers.
• Implementing Spring MVC and IOC methodologies.
• Used the JNDI for Naming and directory services.

Environment: Java, J2EE, Java SE 6, UML, JSP 2.1, Hadoop 1x, Hive, Pig, HBASE, JSTL 1.2, Servlets 2.5, Spring MVC, Hibernate, JSON, Restful Web services, Big Data, jQuery, AJAX, Angular Js, JAXB, IRAD Web sphere Integration Developer, Web Sphere 7.0, Eclipse Kepler-Maven, Serena Dimensions, Unix, JUnit, DB2, Oracle.

Confidential

Java Developer

Responsibilities:

• Participated in requirement gathering and converting the requirements into technical specifications.
• Developed UI using HTML, JavaScript, and JSP, and developed Business Logic and Interfacing components using Business Objects, XML, and JDBC.
• Created rapid prototypes of interfaces to be used as blueprints for technical development.
• Responsible for design, development, test and maintenance of applications designed on Java technologies.
• Developed user stories using Core Java and Spring 3.1 and consumed rest web services exposed from the profit center.
• Used Oracle 10g as the backend database using UNIX OS.
• Used JSP, HTML, Java Script, Angular JS and CSS for content layout and presentation.
• Did core Java coding using JDK 1.3, Eclipse Integrated Development Environment (IDE), clear case, and ANT.
• Used Spring Core and Spring-web framework. Created a lot of classes for backend.
• Used UML diagrams Use Cases, Object, Class, State, Sequence and Collaboration to design the application using Object Oriented analysis and design
• Managed connectivity using JDBC for querying/inserting & data management including triggers and stored procedures.
• Developed JavaScript behavior code for user interaction.
• Created database program in SQL server to manipulate data accumulated by internet transactions.
• Wrote Servlets class to generate dynamic HTML pages.
• Developed SQL queries and Stored Procedures using PL/SQL to retrieve and insert into multiple database schemas.
• Developed the XML Schema and Web services for the data maintenance and structures Wrote test cases in JUnit for unit testing of classes.
• Used DOM and DOM Functions using Firefox and IE Developer Tool bar for IE.
• Debugged the application using Firebug to traverse the documents.
• Involved in developing web pages using HTML and JSP.
• Provided Technical support for production environments resolving the issues, analysing the defects, providing and implementing the solution defects.
• Involved in writing SQL Queries, Stored Procedures and used JDBC for database connectivity with MySQL Server.
• Developed the presentation layer using CSS and HTML taken from bootstrap to develop for browsers.

Environment: Java, XML, HTML, JavaScript, JDBC, CSS, SQL, PL/SQL, XML, Web MVC, Eclipse, Ajax, JQuery, spring with Hibernate, Active MQ, Jasper Reports, Ant as build tool and My SQL and Apache Tomcat