PROFESSIONAL SUMMARY:

• Overall 8 years of total IT experience in all phases of software development life cycle, 5 years of experience in Hadoop and Big Data Eco System.
• Great Experience and knowledge in Hadoop architecture and various components such as HDFS, YARN, Job tracker, Task Tracker, Name Node, Data Node and MapReduce.
• Good experience in Hadoop ecosystem like Hadoop MapReduce, HDFS, NIFI, Oozie, Hive, Sqoop, Pig, Zookeeper, Flume, Spark streaming, Spark SQL, HBase and Cassandra.
• Expertise in Hadoop 2.0 and YARN architecture.
• Experience in using Hadoop cluster using Cloudera’s CDH, Horton works HDP.
• Expertise in writing Hadoop Jobs for analyzing data using MapReduce, Hive and Pig.
• Experience in importing and exporting data using Sqoop from HDFS to Relational DatabaseSystems (RDBMS) and vice - versa.
• Developed and implemented Apache NIFI across various environments, written QA scripts in Python for tracking files.
• Expertise in writing custom UDF’s and UDAF’s for extending Hive and Pig core functionalities.
• Experience in implementation of various Hadoop file-formats and compression techniques like Sequence, Parquet, ORC, Avro, Z-Zip and Text file.
• Experienced in using NoSQL data bases like HBase, Cassandra, MongoDB.
• Experience in working with different Databases like Oracle, MySQL, MS SQL.
• Experience in writing UNIX, SHELL and BASH scripts.
• Good experience in implementing advanced procedures like text analytics and processing the in-memory computing capabilities with Apache Impala, Scala.
• Experience in creating RDD, Data frames for the required data and did transformations using Spark RDD’s, Spark SQL
• Used Spark Structured Streaming to perform necessary transformations.
• Experience in Writing Producers/Consumers and creating messaging centric applications using Apache Kafka.
• Hands on experience in Amazon Web Services (AWS) provisioning tools likeEC2, Simple Storage Service (S3), Elastic Map Reduce.
• Extensive Experience in Java development skills using J2SE, J2EE technologies like Servlets, Spring Hibernate, JSP, JDBC.
• Experienced in Java components like Frame work collection, Exception handling, Multithreading and I/O system.
• Experience in SOA using Soap and Restful.
• Experience in working with Waterfall & Agile development methodology.
• Proficiency in developing secure enterprise Java applications using technologies such as X-Servlets, Maven, Hibernate, XML, HTML, CSS Version Control Systems.
• Ability to learn and adapt quickly to new tools and environment with strong communication and analytical skills.

TECHNICAL SKILLS:

Big Data Eco Systems: Hadoop (HDFS & Map Reduce), PIG, HIVE, HBASE, Zoo Keeper, Sqoop, Flume, Kafka, Apache Spark, Impala, Oozie.

Databases: Oracle, SQL server, My SQL.

No SQL Databases: HBase, Cassandra, Mongo DB.

Hadoop Distributions: Cloudera, Horton works.

Cloud: AWS, AZURE.

Languages: Java, Java SE, Java J2EE, Scala, Python, C.

Web Technologies: JavaScript, J-Query, Boot Strap, AJAX, XML,CSS, HTML, AngularJS.

Web Services: REST, SOAP, JAX-WS, JAX-RPC, JAX-RS, WSDL, Axis2, Apache HTTP, CVS, SVN.

IDE: Eclipse, Net beans, IntelliJ.

Operating Systems: MacOS, Linux, Windows.

PROFESSIONAL EXPERIENCE:

HADOOP/ SPARK DEVELOPER

Confidential, Cleveland, OH

Responsibilities:

• Responsible for building scalable distributed data solutions using Hadoop.
• ETL - Data cleansing, Transformation and prepping data ready for reporting tools.
• Developed Spark jobs and Hive Jobs to apply rules, logics and transform data.
• Involved in converting Hive/SQL queries into Spark transformations using Spark data frames, Scala.
• Expertise in implementing Spark Scala application using higher order functions for both batch and interactive analysis requirement.
• Used Spark Structured Streaming to perform transformations in data lake which gets data from Kafka and send to HDFS.
• Created a Spark Streaming task to import live data from Kafka sources and implemented analysis models.
• Responsible for handling large datasets using repartition, coalesce,broadcast variables and spark’s in-memory capabilities.
• Converted row-like regular hive external tables into columnar snappy compressed parquet tables with key-value pairs. Also worked on other file formats like CSV and Text formats.
• Implemented Hashing algorithms like UUID, MD5 for checksum and identifying delta.
• Applied transformations on data ingested by Informatica team as per business requirements.
• Used JDBC connectors to access reference tables and lookup-tables from Oracle RDBMS Tables.
• Written Ad-hoc queries in hive for orchestration and unit testing.
• Created and scheduled Control-M jobs to run multiple Hive and Spark Jobs, which independently run with time and data availability.
• Implemented the work flows using Apache Oozie frame work to automate tasks.
• Built on-premise end-to-end data pipelines.
• Assisted in setting up Amazon EMR cluster, adding roles in Amazon IAM for Disaster Recovery (DR) Cluster.
• Created business ready Views on top of Master Table and replicated data into Amazon S3.
• Created reports in TABLEAU for visualization of the data sets created and tested native Drill, Impala and Spark connectors.
• Used JIRA for task/Defect tracking, SVN for version control.

Environment: Hadoop, Cloudera, HDFS, Hive, Oozie, SparkSQL, Sqoop, Control-M, Scala, Informatica, Tableau, Shell Scripting, Python, Oracle, AWS.

HADOOP DEVELOPER

Confidential, Minneapolis, MN

Responsibilities:

• Interacted with the Business users to identify the process metrics and various key dimensions and measures and involved in the complete life cycle of the project.
• Responsible for writing Hive Queries for analyzing data in Hive warehouse using Hive Query Language (HQL).
• Developed Map Reduce jobs in Java for data cleaning and preprocessing.
• Good knowledge in using Apache NIFI to automate the data movement.
• Used Map Reduce to ingest customer behavioral data and financial histories into HDFS.
• Used Pig as ETL tool for transforming and pre-aggregations before storing data into HDFS.
• Responsible for defining the data flow within Hadoop eco system and direct the team in implement them and exported the result set from Hive to MySQL using Shell scripts.
• Handled importing of data from various data sources, performed transformations.
• Involved in creating tables, partitioning, bucketing of table.
• Configured Flume agents on different data sources to capture the streaming log data.
• Implemented usage of Amazon EMR for processing Big Data across Hadoop cluster in virtual servers in EC2 and S3.
• Experience with different data formats like Avro, Parquet, ORC and compressions like Snappy and Z-zip.
• Implemented POC in persisting click stream data with Apache Kafka.
• Optimized existing algorithms in Hadoop using Spark SQL.
• Troubleshooting and solving migration issues and production issues.

Environment: Hadoop, HDFS, Hive, Sqoop, Java, Spark, AWS, Horton works, Kafka, Cassandra, UNIX, Tableau.

HADOOP DEVELOPER

Confidential, New York City, NY

Responsibilities:

• Importing data using Sqoop into HDFS vice versa.
• Worked on loading and transformation of large sets of structured, semi structured and unstructured data into Hadoop System.
• Responsible to manage data coming from different data sources.
• Developed simple and complex MapReduce programs in Java for Data Analysis.
• Load data from various data sources into HDFS using Flume.
• Implemented Partitioning, Dynamic Partitions, Buckets in HIVE.
• Developed Java MapReduce programs for the analysis of sample log file stored in cluster.
• Used Hive and created Hive tables and involved in data loading and writing Hive UDFs.
• Responsible for spooling data from DB2 sources to HDFS using Sqoop.
• Created HIVE tables and provided analytical queries for business user analysis
• Extensive knowledge on PIG scripts using bags and tuples.
• Created tables in HIVE by partitioning and bucketing for granularity and optimization of HIVEQL.
• Involved in identifying job dependencies to design workflow for Oozie and resource management for YARN.
• Capturing data from existing databases that provide SQL interfaces using Sqoop.
• Involved in loading data from UNIX file system to HDFS.
• Installed and configured Pig, Hive and written Pig and Hive UDFs.
• Involved in creating Hive tables, loading with data and writing Hive queries which will run internally in map way.

Environment: Cloudera, HBase, Java, Hive, Pig, Sqoop, Oozie, Oracle, SVN, Kafka, GitHub, JIRA, Talend.

JAVA DEVELOPER

Confidential

Responsibilities:

• Extensively involved in different stages of Agile Development Cycle including Detailed Analysis, Design, Develop and Test.
• Implemented the Back-End Business Logic using Core Java technologies including Collections, Generics, Exception Handling, Java Reflection and Java I/O.
• Wrote and specified Spring Annotation Configuration to define Beans and View Resolutions to configure Spring beans, dependencies and the services needed by beans.
• Used Spring IC to implement dynamic dependency injection and Spring AOP to implement crosscutting concerns such as transaction management.
• Wrote Mapping Configuration files to implement ORM Mappings in the Persistence Layer.
• Using Hibernate DAO support extended Dao Implementation.
• Hibernate Configuration files were written to connect Oracle database and fetch data.
• The Hibernate Query Cache was implemented using EhCache to improve the performance.
• Implemented web services with RESTful standards with the support of JAX-RS APIs.
• Confirmation of registration and monthly statements are sent to users by integrating and implementing JavaMail API.
• Manipulated database data with SQL queries, including setting up stored procedures and triggers.
• Implemented front-end developments such as webpages design, data binding, Single-Page Applications using HTML/CSS, JavaScript, jQuery and AJAX.
• Used jQuery libraries to simplify the frontend programming works. Performed users' input validation using JavaScript and jQuery.
• Utilized Node.js and MongoDB to generate tendency charts of the application for Payment History.
• Performed JUnit test cases to test the service layers of the application.
• Used JIRA to track the projects and GIT to ensure version control.

Environment: Java, Spring, JavaMail, JavaScript, HTML, CSS, AJAX, jQuery, Junit, JIRA, Oracle DB, MongoDB, GIT.