Masters in Computer Science graduate from San Jose State University (SJSU) (CGPA : 3.67). I worked as a Software Engineering Intern at 23andMe. In my role, I have worked on ETL pipelines using Big Data tools like Map Reduce, Spark, HBase, Hive, and AWS. I used Ansible to build an automated deployment pipeline. To implement the pipeline, I used Maven for resolving dependencies, Jenkins as for building the code and creating the artifacts (jars), Apache Archiva which is an open source repository to store artifacts. Before pursuing masters, I have worked as a Software Developer at Persistent Systems, where I used C++. MFC, Windows SDK to build and enhance features for a desktop application Quicken. The responsibilities included working on feature design, implementation and defect fixing. Github: https://github.com/SalilShenoy