SDE1 for the Alexa Local Search team"Alexa, find me sports bars nearby"- Developed on the Alexa Local Information data architecture to execute ingesting, conflation, merging, and enriching of the geocoded data. - Uses ETL pipeline to process 46 million POIs (Points of Interest) daily, providing accurate data used by Alexa devices and customers. - Implemented ticket integration and error catching features in Scala to internal dashboards of POI data scrapers, reducing user error time by 20% overall- Run Python scripts as AWS EMR jobs to conflate POI data, analyzed SQL data in AWS Athena, and integrated output data into ETL pipeline with AWS GlueStack: Scala + Spark, Python, Node + React, AWS Athena, EMR, Glue

- Developed online gift card balance checkers in TypeScript for new web architecture- Used Node libraries (puppeteer, axios) to web scrape gift card balance data- Improved the efficiency and reduced error rate of Kijiji ad scraper developed in Go- Created unit tests to improve maintenance for Django REST web application backend- Collaborated using Git and Jira, and kept track of errors using Sentry

As an integration counselor, I provided 1-to-1 support for kids with intellectual disabilities with the goal of integrating them in with other camper groups.