Synchronized internal Salesforce objects between production and development sandboxes with a Node.js application hosted on AWS Lambda, replacing a tool costing $60k annually, and saving dozens of hours of engineering time.

Created a monitoring system with Datadog for metrics and monitoring, rotated application secrets with AWS Secrets Manager for security, and built the AWS Lambda function with Terraform for ease of upkeep and version control.

Worked in an agile environment with QA testers, code reviews, and sprint planning to ensure on-time delivery of quality code with JEST tests, and carried out UAT and Hypercare afterward to fully offboard the project.

Automated system for user provisioning using Python on Snowflake, saving hours of engineering time each month.

Aided in test migrations to AWS Aurora by testing data retrieval from various services, reducing concerns about compatibility.

Built a React-Flask app utilizing SnowSQL to show users' existing roles on the Snowflake platform, significantly lowering the number of requests for new roles, and hosted with AWS Lightsail.

Automated baseline rule verification on Snowflake with Pytest, saving the lead engineer an hour quarterly.

Designed and implemented four command-line interfaces using Python to get obfuscated XML data from various airline APIs, and transformed that data into JSON for further analysis, connecting

Gordian’s APIs to new airline offer information.

Analyzed airline-specific price irregularities over different currencies and developed a Python library to correct them, resulting in prices accurate down to the nearest half-dollar for most of Gordian’s supported airlines.

Developed a testing suite with Pytest while rewriting an internal library, ensuring backward compatibility.

Selected to participate in an exclusive mentorship program between Google NYC and Stuyvesant High School, inventing a full-stack app with the guidance of Google employees

Here is a link to a demo of the app: https://ez-car.herokuapp.com/