Jul 2018 – Aug 2018 · 1 mo · Naperville, Illinois

• Worked closely with the Middleware and Cloud Security teams to connect different cloud services using Mulesoft.
• Created Mule flows to manage content across various ECM tools, such as FTP hosts, Box, Dropbox, on-premise locations, and AWS S3.
• Set up Amazon S3 as a single source of truth for content generated by such platforms and made it available to various downstream platforms.
• Platforms/Servers used: Mule Anypoint Platform/Studio, AWS S3, Dropbox, Box, SFTP Servers

Jun 2017 – Aug 2017 · 2 mos · San Francisco Bay Area

• Worked on multiple projects: Know Your Customer (application which captures real-time user data on ecommerce websites), Pulse (a web data analytics service), and Beveel (a customer personalized recommendation engine):
• Worked with ~2 billion records of customer data to build a user mapping table that automatically maps 'anon' visitors on an e-commerce website to their respective user ids for Know Your Customer. Tech stack: Pentaho Spoon for Data ETL, SQL, Redshift Database.
• Implemented test pages to fire Pulse analytics tags integrated with Google Tag Manager and validated tag data were persisted in the database. Tech stack: HTML/CSS/JS, AWS Environment, Redshift Database, SQL.
• Set up analytics tags to track impressions and clicks on the e-commerce website Netshoes and validated the data was sufficient to measure recommendation rule effectiveness during A/B tests for Beveel. Tech stack: Google Analytics, Javascript, Snowplow, Redshift Database, AWS Environment.

Jun 2016 – Aug 2016 · 2 mos · Herndon, VA

• Designed and developed a generic Two Factor Authentication module to provide an additional layer of security to the Phone2Go app of Time Warner Cable. Platforms/Servers used: Oracle Converged Communication Application Server (OCCAS), Dialogic Media Server, and MySQL. Technologies used:
• Java, REST, and SIP.

May 2015 – Jul 2015 · 2 mos · Jamshedpur Area, India

• Created a project titled ‘Helpdesk Management System’ using NetBeans and MySQL, in which customers could log in to lodge complaints and the complaints would be forwarded to the respective department. The customers could also check the status and track their complaints and provide feedback.