IdentityIT Professional with 7.5 Years of experience in Big Data Technologies Hadoop,Apache
Spark,Hive,scoop,Cloud Technologies ,Amazon Web Service, Pivotal Cloud Foundry, Core Java, J2ee, spring
MVC, hibernate, JavaScript, Jquery, JSON , Jasper Report, Html ,Jqgrid & Apache Tomcat Server, Github,
Tortoise Svn.
exclusive experience in Hadoop and its components like HDFS, Map Reduce, HIVE,
Spark, OOZIE.
Used Spark API over MapR Hadoop YARN to perform analytics on data in Hive.
Good knowledge on building Spark Job using Spark Context, Spark-SQL, Data Frames and RDD's.
Experienced in handling large datasets using Partitions, Spark in Memory capabilities, Broadcasts in
Spark, Effective & efficient Joins, Transformations and other during ingestion process itself
Good understanding of Parallel Processing and Distributed Computing and its applicability in todays
world
Good working knowledge on Map Reduce, Apache PIG and HIVE.
Experienced on working with unstructured data and structured data on a Hadoop Distributed File
System (HDFS).
Having good working experience on AWS components like EC2,Bean Stalk,RDS,S3,Code Commit, Code
Deploy , AWS EMR,IAM.
Having my own YouTube Channel containing my own recorded videos on Cloud technologies.
I am a Certified Pivotal Cloud Foundry Developer(PCF Certified)
I am a Certified Oracle Java Programmer.
I am having experience of creating multi node cluster on Google Cloud Platform and executing spark-
jobs on the cloud.
Experience with object oriented development in Core Java 8 using Lambda Expressions, Stream API and
parallel processing.
Experience with various web applications using MVC pattern in Spring, Hibernate frameworks Knowledge and understanding of open source Java Script libraries like Ajax, JSON
Developed, designed, tested and deployed new functionalities as part of Product Research and
Development (P R&D) team.
Experience of working in the complete Software development life cycle involving development,
documentation, testing and maintenance with Agile, waterfall methodology.
