PROFESSIONAL SUMMARY:

• 8+ years of experience in SDLC with key emphasis on the trending Big Data Technologies - Spark, Scala, Spark Mlib, Hadoop, Tableau, Cassandra, Java, J2EE .
• Expertise in architecting Big data solutions using Data ingestion, Data Storage
• Architect, design & develop Big Data Solutions practice including set up Big Data roadmap, build supporting infrastructure and team to provide Big Data.
• Strong Experience in Front End Technologies like JSP, HTML5, JQuery, JavaScript, CSS3 .
• Worked on windows server AD configuration and Kerberos protocol .
• Experienced in application development using Java, J2EE, JDBC, spring, Junit.
• Architecting and implementing Portfolio Recommendation Analytics Engine using Hadoop MR, Oozie, Spark SQL, Spark Mlib and Cassandra.
• 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.
• Data Modeled for RDBMS like Oracle and MySQL .
• Experienced in Worked on NoSQL databases - Hbase, Cassandra & MongoDB, database performance tuning & data modeling.
• 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.
• Experience in development of Big Data projects using Hadoop, Hive, HDP, Pig, Flume, Storm and Map Reduce open source tools/technologies.
• Architecting, Solutioning and Modeling DI (Data Integrity) Platforms using sqoop, flume, kafka, Spark Streaming, Spark Mllib, Cassandra.
• Strong experience in migrating data warehouses and databases into Hadoop/NoSQL platforms.
• Strong expertise on Amazon AWS EC2, Dynamo DB, 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 Amazon EMR, 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.
• 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.
• 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 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 .
• 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.

TECHNICAL SKILLS:

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

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

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

No SQL Databases: Cassandra, mongo DB

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

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.

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

PROFESSIONAL EXPERIENCE:

Confidential, Malvern, PA

Sr. Big Data Architect

Responsibilities:

• Involved in Design and Architecting of Big Data solutions using Hadoop Eco System.
• Implementation of Big Data ecosystem (Hive, Impala, Sqoop, Flume, Spark, Lambda) with Cloud Architecture.
• Loaded and transformed large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts.
• Working in querying data using Spark SQL on top of Spark engine.
• Involved in complete SDLC of project includes requirements gathering, design documents, development, testing and production environments. Packaged Spark development environment into custom vagrant box.
• Experience in AWS, implementing solutions using services like (EC2, S3,).
• Utilized NOSQL database HBase for loading HIVE tables into HBase tables through Hive-HBase integration which was consumed by Data scientist team.
• Coded the real-time with Spark Streaming and Apache Nifi to Store the data in Hive and HBase.
• Performed data profiling and transformation on the raw data using Pig, Python, and Java.
• Working using Apache Hadoop ecosystem components like HDFS, Pig, and Map Reduce.
• Worked on setting up and configuring AWS's EMR Clusters and Used Amazon IAM to grant fine-grained access to AWS resources to users.
• Used Agile/scrum Environment and used Jenkins, GitHub for Continuous Integration and Deployment.
• Implement enterprise grade platform (mark logic) for ETL from mainframe to NOSQL (cassandra).
• Working with Spring MVC objects like Action Servlet, Controllers, validators, Web Application Context, Handler Mapping, Message Resource Bundles, and Form Controller.
• Working on processing big volumes of data using different big data analytic tools including Spark Hive, SQOOP, Pig, Flume, Apache Kafka, OOZIE, HBase, Scala.
• Worked in different IDE like Net Beans and IntelliJ.
• Developed REST API for test server for Express Router middleware based API's with MongoDB integration.
• Developing user interfaces with HTML, DHTML, JSTL, XSD, XML and CSS.
• Worked with scripting languages like JavaScript, AJAX and JQuery.
• Exposed to Agile environment and familiar with tools like JIRA, Confluence.
• Sound knowledge in Agile methodology- SCRUM, Rational Tools.
• Lead architecture and design of data processing, warehousing and analytics initiatives.
• Involved in the coding and integration of several business critical modules of CARE application using Java, spring, Hibernate and REST web services on Web Sphere application server.
• Used Apache Nifi for ingestion of data from the IBM MQ's (Messages Queue).
• Identify query duplication, complexity and dependency to minimize migration efforts Technology stack: Oracle, Hortonworks HDP cluster, Attunity Visibility, Cloudera Navigator Optimizer, AWS Cloud and Dynamo DB.
• Developed custom code to read the messages of the IBM MQ and to dump them onto the NifiQueues.
• Creation of a User Interface to search and/or view content within the cluster by using solar cloud.
• Developed dynamic JSP pages with Struts. Used built-in/custom Interceptors and Validators of Struts.
• Enable and configure Hadoop services such as HDFS, YARN, Hive, Ranger, Hbase, Kafka, Sqoop, Zeppeline Notebook and Spark/Spark2.
• Developed different kinds of interactive graphs in ER studios.
• Extensive experience in Spark Streaming (version 1.5.2) through core Spark API running Scala, Java to transform raw data from several data sources into forming baseline data.
• Creating dashboard on Tableau and Elastic search with Kibana.
• Hands on expertise in running the SPARK & SPARK SQL.
• Working on MapR Hadoop platform to implement Big Data solutions using Hive, Map Reduce, shell scripting, and java technologies.
• Using Spring (MVC) for implementation of business model logic.

Environment: JDBC, NOSQL, Mongo DB, Alteryx, Map Reduce, Spark, YARN, HIVE, Pig, Scala, Nifi, intellij, AWS EMR, Python, Java, Dynamo DB, Hadoop, MYSQL.

Confidential, Dorchester, MA

Big Data Architect

Responsibilities:

• Implementation of Big Data ecosystem (Hive, Impala, Sqoop, Flume, Spark, Lambda) with Cloud Architecture
• Used Talend for Big data Integration using Spark and Hadoop
• Used Microsoft Windows server and authenticated client server relationship via Kerbros protocol.
• Experience on BI reporting with At Scale OLAP for Big Data.
• Implemented solutions for ingesting data from various sources and processing the Data-at-Rest utilizing Big Data technologies such as Hadoop, Map Reduce Frameworks, HBase, Hive
• Loaded and transformed large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts.
• Designed and Developed Real time Stream processing Application using Spark, Kafka, Scala and Hive to perform Streaming ETL and apply Machine Learning.
• Identify query duplication, complexity and dependency to minimize migration efforts
• Technology stack: Oracle, Hortonworks HDP cluster, Attunity Visibility, Cloudera Navigator Optimizer, AWS RedShift and Dynamo DB.
• Experience in AWS, implementing solutions using services like (EC2, S3, RDS, Redshift, VPC)
• Worked on Talend Magic Quadrant for performing fast integration tasks.
• 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.
• Lead architecture and design of data processing, warehousing and analytics initiatives.
• Worked with AWS to implement the client-side encryption as Dynamo DB does not support at rest encryption at this time.
• 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.
• Performed data profiling and transformation on the raw data using Pig, Python, and Java.
• 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.
• 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 At Scale 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 different Hadoop distributions like Cloudera (CDH3 & CDH4) and Horton Works Distributions (HDP) and MapR.
• 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.
• 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.
• Enhancements to traditional data warehouse based on STAR schema, update data models, perform Data Analytics and Reporting using Tableau.

Environment: Big Data, SparkSpark, YARN, HIVE, Pig, Scala, Python, Hadoop, AWS, Dynamo DB, Kibana, EMR, JDBC, Redshift, NOSQL, Sqoop, MYSQL.

Confidential, Kansas, KS

Big Data Engineer

Responsibilities:

• Architected, Designed and Developed Business applications and Data marts for Marketing and IT department to facilitate departmental reporting.
• Ingest data into Hadoop / Hive/HDFS from different data sources.
• Created Hive External tables to stage data and then move the data from Staging to main tables
• 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.
• Experience in data cleansing and data mining.
• Design AWS architecture, Cloud migration, AWS EMR, Dynamo DB, Redshift and event processing using lambda function
• 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.
• Implemented Installation and configuration of multi-node cluster on Cloud using Amazon Web Services(AWS) on EC2.
• Proof-of-concept to determine feasibility and product evaluation of Big Data products
• 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.
• 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.
• Used Hive to analyze data ingested into HBase by using Hive-HBase integration 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.

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

Confidential, Buffalo, NY

JAVA/Big Data Engineer

Responsibilities:

• Involved in Big Data Project Implementation and Support.
• Involved in the coding and integration of several business critical modules of CARE application using Java, 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.
• Developed the Web Based Rich Internet Application (RIA) using JAVA/J2EE (spring framework).
• 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 of Big data design.
• 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.
• 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.
• Experience working with big data and real time/near real time analytics and big data platforms 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.
• Deliver Big Data Products including re-platforming Legacy Global Risk Management System with Big Data Technologies 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 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 components using JSP, Servlets, and JDBC.
• 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 into Java Objects.
• Used Spring JDBC Dao as a data access technology to interact with the database.
• Developed Unit and E2E test cases using Node JS.

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

Confidential

Java Developer

Responsibilities:

• Responsible for design, development, test and maintenance of applications designed on Java technologies.
• 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.
• Developed user stories using Core Java and Spring 3.1 and consumed rest web services exposed from the profit center.
• 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.
• Used Oracle 10g as the backend database using UNIX OS.
• Used JSP, HTML, Java Script, Angular JS and CSS3 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.

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