Software Dev Engineer on the Search Data Engineering team, which aims to provide high quality customer behavioral data to hundreds of teams across Amazon

• Developed a backend parser in Python that queries and processes clickstream data from user input

• Redesigned the existing UI of the validation debugging tool to enhance user experience and navigation

• Designed and implemented a user-friendly, interactive addition to the tool using Flask, HTML, JavaScript, and CSS to help users clearly visualize, understand and debug data attribution within the search dataset

• Analyzed the efficiency/performance of submitting large supercomputer jobs and reservations

• Implemented scripts using SQL and Python to analyze the total hours and percentage of machine resources wasted on large jobs and node reservations

• Analysis gathered from this project was submitted to and accepted into the Cray User Group (CUG) 2019 Conference