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Full Stack Developer Resume

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SUMMARY

  • 2 years of experience in Software Development Life Cycle. Strong understanding of Object Oriented Design Principles in Java.
  • 2 years of hands - on experience in writing databases queries using SQL.
  • Extensive working experience in Agile Environment.
  • Excellent noledge in Hadoop Ecosystem including Pig, Hive, HDFS, Sqoop, Flume, MapReduce, Spark, Kafka and Yarn.
  • Excellent noledge in Web Technologies like HTML, CSS and JavaScript.
  • Hands on experience in AWS, Jenkins, Docker, Ansible, Chef, Github, Puppet and Kubernetes .
  • Excellent understanding of programming languages like Java and Python.
  • Extensively good working noledge on Unix.

TECHNICAL SKILLS

Languages and Frameworks: Java, Python, C, C++, HTML, CSS, JavaScript, SQL, NodeJS, Spring, REST and Angular.

Database: Oracle, MySQL, and NoSQL.

AWS Services: EC2, S3, Route 53, IAM, DynamoDB, CloudFront and CloudWatch.

Tools and Applications: Eclipse, Xcode, Jira, MS Office, Jira, Visual Studio, Matlab, ETL,MySQL Workbench and Tableau.

Big Data Ecosystem: Hadoop, HDFS, MapReduce, Pig, Hive, Sqoop, Flume, Spark, Kafka and HBase.

Machine Learning: SVM, Decision Tree, Random Forest and Regression.

Operating System: Linux, Mac and Windows.

PROFESSIONAL EXPERIENCE

Full Stack Developer

Confidential

Responsibilities:

  • Designed and developed UI screens with HTML, CSS and Java Scripts to enhance the display of data on interactive screens.
  • Developed applications using JavaScript for Web pages and added validation functionality to the forms.
  • Created PL/SQL scripts for securing database and Utilized Object Oriented programming to develop the front-end of websites.
  • Analyzed client requirements and designed specification documents based on requirements and Prepared use cases, sequence diagrams, class diagrams and activity diagrams using Rational Rose.

Environment: Java, EJB, PL/SQL, JQuery, JSP, REST, HTML5, CSS3, Tomcat, JavaScript and Oracle.

Hadoop Developer

Confidential

Responsibilities:

  • Worked on huge Datasets (more that 1TB). Worked on Cloudera platform.
  • Analyzed/Transformed data by performing Apache Spark, Pig, hive, Sqoop and Flume jobs.
  • Worked with the application team to design and develop an effective Hadoop solution.

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