Jeff Li

Implemented Pyspark data pipelines following an ETL process orchestrated with Apache Airflow or AWS Lambda using Python, S3, Glue, and EMR providing data for identifying potential savings in operation costs. • Designed and led the development of Pyspark pipelines that consolidated all SMS opt-outs, avoiding potential fines of up to $70 million by introducing third party API calls and SFTP file accesses into the data fetch process. • Reduced the time to board a loan application from 2-3 minutes to 15 seconds per application to handle increasingly more volume by deploying, maintaining, and becoming the SME of a microservice using Python, Jenkins, FastAPI, and RabbitMQ. • Implemented a full-stack feature to automate payment extension processing using Typescript, React and CSS saving approximately $7000 per month on operational costs. • Served as scrum master facilitating daily stand-up meetings, sprint planning, refinement, and retrospectives to ensure timely project delivery and initiated team experiments to improve productivity throughout the sprint.

• Collaborated with engineers to develop a web page using TypeScript and React Native enabling clients to effectively label uploaded data. • Integrated a new webpage with the existing site allowing users to utilize new tools for custom data labeling. • Collaborated with designers to ensure design constraints and quality requirements are addressed.