SUMMARY:

• 9+ years of overall IT experience in a variety of industries, which includes hands on experience on Big Data Analytics, and Development.
• Having good experience in Bigdata related technologies like Hadoop frameworks, Map Reduce, Hive, HBase, PIG, Sqoop, Spark, Kafka, Flume, ZooKeeper, Oozie, and Storm.
• Excellent knowledge on Hadoop ecosystems such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming paradigm.
• Experienced in writing complex MapReduce programs that work with different file formats like Text, Sequence, Xml, JSON and Avro.
• Having working experience on Cloudera Data Platform using VMware Player, Cent OS 6 Linux environment. Strong experience on Hadoop distributions like Cloudera, and HortonWorks.
• Good knowledge of No - SQL databases Cassandra, MongoDB and HBase.
• Expertise in Database Design, Creation and Management of Schemas, writing Stored Procedures, Functions, DDL, DML SQL queries.
• Worked on HBase to load and retrieve data for real time processing using.
• Very good experience of Partitions, Bucketing concepts in Hive and designed both Managed and External tables in Hive to optimize performance.
• Good working experience using Sqoop to import data into HDFS or Hive from RDBMS and exporting data back to HDFS or HIVE from RDBMS.
• Extending HIVE and PIG core functionality by using custom User Defined Function's (UDF), User Defined Table-Generating Functions (UDTF) and User Defined Aggregating Functions (UDAF) for Hive and Pig.
• Worked with Big Data distributions like Cloudera (CDH 3 and 4) with Cloudera Manager.
• Worked in ETL tools like, Tableau to simplify Map Reduce jobs from the front end. Also used to
• Extensive knowledge in using SQL queries for backend database analysis.
• Involved in unit testing of Map Reduce programs using Apache MRunit.
• Worked on Amazon Web Services and EC2.
• Excellent Java development skills using J2EE, J2SE, Servlets, JSP, Spring,Hibernate, JDBC.
• Experience in creating Reusable Transformations (Joiner, Sorter, Aggregator, Expression, Lookup, Router, Filter, Update Strategy, Sequence Generator, Normalizer and Rank) and Mappings using Informatica Designer and processing tasks using Workflow Manager to move data from multiple sources into targets.
• Doing query performance to increase speed.
• Strong experience in writing complex queries for Oracle.
• Experience working with Build tools like Maven and Ant.
• Experienced in both Waterfall and Agile Development (SCRUM) methodologies
• Strong Problem Solving and Analytical skills and abilities to make Balanced & Independent Decisions.
• Experience in developing service components using JDBC.

PROFESSIONAL EXPERIENCE:

Confidential, New York, NY

Sr. Java Developer

Responsibilities:

• Responsible for design development of Spark SQL Scripts based on Functional Specifications
• Responsible for Spark Streaming configuration based on type of Input Source
• Wrote the Map Reduce jobs to parse the web logs which are stored in HDFS.
• Developed the services to run the Map-Reduce jobs as per the requirement basis.
• Importing and exporting data into HDFS and HIVE using Sqoop.
• Responsible to manage data coming from different sources.
• Developing business logic using scala.
• Responsible for loading data from UNIX file systems to HDFS. Installed and configured Hive and also written Hive UDFs.
• Involved in creating Hive Tables, loading with data and writing Hive queries which will invoke and run MapReduce jobs in the backend.
• Writing MapReduce (Hadoop) programs to convert text files into AVRO and loading into Hive (Hadoop) tables
• Implemented the workflows using Apache Oozie framework to automate tasks.
• Worked with NoSQL databases like HBase in creating HBase tables to load large sets of semi structured data coming from various sources.
• Developing design documents considering all possible approaches and identifying best of them.
• Loading Data into HBase using Bulk Load and Non-bulk load.
• Developed scripts and automated data management from end to end and sync up b/w all the clusters.
• Exploring with the Spark improving the performance and optimization of the existing algorithms in Hadoop.
• Import the data from different sources like HDFS/HBase into SparkRDD.
• Experienced with Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.
• Import the data from different sources like HDFS/HBase into Spark RDD.
• Involved in converting Hive/SQL queries into Spark transformations using Spark RDD, Scala.
• Getting data using Kafka and processing using Spark
• Developing traits and case classes etc in scala.
• Storing in Hbase and fetching through Solr search.

Environment: Hive, Flume, Java, Maven, Impala, Spark, Oozie, Oracle, Yarn, GitHub, Junit, Tableau, Unix, Cloudera, Flume, Sqoop, HDFS, Tomcat, Java, Scala, Hbase.

Sr. Java Developer

Responsibilities:

• Consumed the data from Kafka queue using spark.
• Configured different topologies for spark cluster and deployed them on regular basis.
• Load and transform large sets of structured, semi structured and unstructured data.
• Involved in loading data from LINUX file system to HDFS.
• Importing and exporting data into HDFS and Hive using Sqoop
• Implemented Partitioning, Dynamic Partitions, Buckets in Hive.
• Configured various property files like core-site.xml, hdfs-site.xml, mapred-site.xml based upon the job requirement.
• Involved in performing the Linear Regression using Scala API and Spark.
• Installed and configured MapReduce, HIVE and the HDFS; implemented CDH5 Hadoop cluster on CentOS. Assisted with performance tuning, monitoring and troubleshooting.
• Created Map Reduce programs for some refined queries on big data.
• Involved in setting up of HBase to use HDFS.
• Used Hive partitioning and bucketing for performance optimization of the hive tables and created around 20000 partitions.
• Created RDD's in Spark technology and extracted data from data warehouse on to the Spark RDD's.
• Used Spark with Scala.

Environment: Spark, Spark SQL, Spark Streaming, Red Shift, CDH5, Scala, Javascript, Cassandra.

Hadoop Developer

Responsibilities:

• Worked on analyzing Hadoop cluster using different big data analytic tools including Pig, Hive and MapReduce.
• Involved in exploring Hadoop, Map Reduce programming and its ecosystems.
• Implementing Map Reduce programs / Algorithms for Organizing the data, For performing Aggregation over the data, Joining different data sets, Filtering the data, Classification, Partitioning.
• Importing and exporting data into HDFS and Hive using Sqoop.
• Writing UDF (User Defined Functions) in Pig, Hive when needed.
• Developing the Pig scripts for processing data.
• Managing work flow and scheduling for complex map reduce jobs using Apache Oozie.
• Involved in creating Hive tables, loading data &writing hive queries.
• Written Hive queries for data analysis to meet the business requirements.
• Created HBase tables to store various data formats of incoming data from different portfolios.
• Created Pig Latin scripts to sort, group, join and filter the enterprise wise data.
• Automated the History and Purge Process.
• Importing and exporting data into HDFS and Hive using Sqoop.Implemented Partitioning, Dynamic Partitions, Buckets in Hive.
• Load and transform large sets of structured, semi structured and unstructured data.
• Validating the data using MD5 algorithems.
• Experience in Daily production support to monitor and trouble shoots Hadoop/Hive jobs.
• Involved in Configuring core-site.xml and mapred-site.xml according to the multi node cluster environment.
• Implemented Data Integrity and Data Quality checks in Hadoop using Hive and Linux scripts.
• Used AVRO, Parquet file formats for serialization of data.

Environment: - Solix EDMS, Java 1.6, Hadoop (Map/Reduce, Hive, PIG,, Oozie, Sqoop, Flume), Eclipse Helios, Linux/Unix, Tableau, Camel.

Sr. AWS Developer

Responsibilities:

• Implemented Agile development process on Software Development Life Cycle and done with effort estimations using Fibonacci.
• Helped migrating and managing multiple applications from on premise to cloud using AWS services like S3, Glacier, EC2, RDS, SQS, SNS, SES.
• Created instances in AWS as well as migrated data to AWS from data Center using snowball and AWS migration service.
• Configured and maintained user accounts for dev, QA, and production teams and created roles for EC2, RDS, S3, CloudWatch.
• Launching and configuring of Amazon EC2 (AWS) Cloud Servers using AMI's(Linux) and configuring the servers for specified applications.
• Managing with Custom AMI's, created AMI tags and modified AMI permissions.
• Created S3 buckets for EC2 instances to store all the content including HTML pages, images, CSS files and Java script files.
• Configured, supported and maintained all network, firewall, storage, load balancers, operating systems, and software in AWS EC2 and Created detailed AWS Security groups which behaved as virtual firewalls that controlled the traffic allowed reaching one or more AWS EC2 instances.
• Managing multiple AWS instances, assigning the security groups, Elastic Load Balancer and AMIs.
• Auto scaling the instances to design cost effective, fault tolerant and highly reliable systems.
• Experience developing web applications with a Dynamo DB, Mongo DB, Cassandra, Elastic Search or similar data store.
• Configured and managed source code using Git and resolved code merging conflicts in collaboration with application developers.
• Integrated JIRA and Subversion using Pre-commit hooks to ensure the process is followed and automated JIRA tasks using JIRA CLI.
• Provided production support by debugging system issues.
• Implemented Chef Cookbooks for OS component configuration to keep AWS server's template minimal.
• Repeatedly worked on AWS Cloud platform and its features which include EC2, VPC, AMI, RDS, SES, S3, Route 53, IAM, LDAP, Cloud Formation, Cloud Front, and Cloud Watch.
• Configured S3 lifecycle of Applications & Databases logs, including deleting old logs, archiving logs based on retention policy of Apps and Databases.
• Configured and managed AWS Glacier, to move old data to archives based on retention policy of databases/ applications.
• Assigned AWS Elastic IP Addresses used to work around host or availability zone failures by quickly remapping the address to another running instance or a replacement instance that was just started.
• Monitoring Resources and Applications using AWS Cloud Watch, including creating alarms to monitor metrics such as EBS, EC2, ELB, RDS, S3, and configured notifications for the alarms generated based on events defined.
• Configured custom metrics for the AWS Cloud Watch for detailed monitoring.
• Automation of OS builds and Application Installation through Chef.
• Designed and created Cloud Formation templates to create stacks.
• Implementing a Continuous Delivery framework using Jenkins, Maven & Nexus in Linux environment.
• Using Amazon Route53 to manage public and private hosted zones.
• Prepared design documents with Sequence Diagrams, Class Diagrams using Microsoft VISIO tool.
• Developed build and deployment scripts using Apache Ant to customize EAR files.
• Designed and developed Logging service to log errors and messages using Log4J.

  Environment: Amazon Web Services (AWS) EC2, Route 53, S3, VPC, IAM, Cloud Watch Alarms, Cloud Formation, SNS, SES, SQS, Git, GitHub, Jenkins, Gradle, Maven

Java Developer

Responsibilities:

• Developed Web module using Spring MVC, JSP.
• Developing model logic by using Hibernate ORM framework.. Handle server side validations.
• Involved in Bug fixing.
• Involved in Unit Testing by using Junit.
• Writing Technical Design Document.
• Gathered specifications from the requirements.
• Developed the application using Spring MVC architecture.
• Developed JSP custom tags support custom User Interfaces.
• Developed front-end pages using JSP, HTML and CSS.
• Developed core Java classes for utility classes, business logic, and test cases.
• Developed SQL queries using MySQL and established connectivity.
• Used Stored Procedures for performing different database operations.
• Used Hibernate for interacting with Database.
• Developed control classes for processing the request.
• Used Exception Handling for handling exceptions.
• Designed sequence diagrams and use case diagrams for proper implementation.
• Used Rational Rose for design and implementation.

Environment: - JSP, HTML, CSS, JavaScript, MySQL, Spring, Hibernate, MySqi Exception Handling, UML, Rational Rose.

Confidential, New York, NY

Java Developer

Responsibilities:

• Developed Custom tags, JSTL to support custom User Interfaces.
• Designed the user interfaces using JSP.
• Designed and Implemented MVC architecture using Struts Framework, Coding involves writing Action Classes/Custom Tag Libraries, JSP.
• Developed Action Forms and Controllers in Struts 1.2 framework. Utilized various Struts features like Tiles, tagged libraries and Declarative Exception Handling via XML for the design.
• Involved in writing and business layer using EJB, BO, DAO and VO.
• Implemented Business processes such as user authentication, Account Transfer using Session EJBs.
• Worked with Oracle Database to create tables, procedures, functions and select statements.
• Used Log4J to capture the log that includes runtime exceptions and developed WAR framework to alert the client and production support in case of application failures.
• Developed the Dao's using SQL and Data Source Object.
• Development carried out under Eclipse Integrated Development Environment (IDE).
• Used JBoss for deploying various components of application
• Used Ant for building Scripts.
• Used JUNIT for testing and check API performance.

Environment: - Java1.6, J2EE, Struts, HTML, CSS, JavaScript, Jdbc SQL 2005, ANT, Log4j, JUnit, XML, JSP, JSTL, AJAX, JBoss, ClearCase.