Tommy Mcdonald Email & Phone Number

Beaverton, Or, Us

Beaverton, Or, Us

Beaverton, Oregon, United States

• Led the rollout of the store selector micro-frontend, integrated within store pickup and delivery date features, leading to $2.3M in annualized profit. Discovered and resolved numerous foundational bugs that blocked the project's progress.• Architected an A/B test to display promo status under each item in a user’s cart, generating $3.3M in estimated annualized demand. Refined promo display criteria based on test results to increase conversions.Replaced a dropdown with a visually engaging modal to update an item’s size, saving 44 API calls per cart item on page load. Innovated numerous improvements from the existing component, including intelligent data loading, cached product images, loading indicators, and responsive closing.• Implemented an A/B testing framework to facilitate continuous feature testing with revenue comparison and improved integration with Adobe Analytics through Adobe Target.• Developed A/B tests to improve conversion, including delivery date in EMEA, creating $47M in estimated annualized incremental demand, low inventory messaging responsible for a $30.7M increase in actual annualized demand, and price alignment, which led to a 1.25% point increase in cart conversion for off-platform EMEA countries.• Engineers a library and micro-frontend that streamlines API interactions for experiences across nike.com, displaying error messages and allowing users to select pickup locations and view delivery date options.• Reduced load on a critical API that previously created outages, enabling 100% uptime for Cart and Favorites during the holiday shopping season.• Revamped testing best practices, reducing overly sensitive test failures, by moving to functionality-driven testing utilizing React Testing Library.• Introduced React Query to simplify server state management, replacing inefficient solutions. Engineered a solution to share a single cache and queries between our micro-frontend and Cart/Favorites experiences.

Beaverton, Oregon, United States

• Developed the Observability landing page, a central location for previously scattered information. Integrated the Ghost CMS and the Outlook Calendar API.• Implementing the Service Status Page’s frontend using React. The Service Status Page displays the status of multiple services used at Nike.

• Integrated Optimizely X Web on nike.com, enabling code-free changes and A/B testing, keeping the COVID-19 banner live after the prior service’s contract expired. Discovered GDPR compliance issues with Optimizely on product wall and detail pages, implementing a scalable solution to resolve them.• Implemented Optimizely X Web active experiment tracking on nike.com product wall and detail pages for mPulse performance tracking

Beaverton, Oregon

• Rebuilt a SSL certificate dashboard, pulling in from multiple AWS accounts, improving prioritization and noise reduction for SRE engineers. Replacing jQuery with React increased the maintainability of the dashboard.• Created a dashboard that reports where resilience engineering is improving consumer experiences.• Built a SRE website that provides a centralized location for Nike Reliability’s applications, teams, initiatives, leadership information, and documentation.

Beaverton, Oregon

• Developed a Slack bot that automates tasks for incident managers, saving 40 minutes per incident and reducing time to first communications by 50%.• Wrote scripts for monitoring distribution center queues and key nike.com functionality, sending alerts based on those monitors to Science Logic.

Tallahassee, Florida

• Co-founded and developed Cryptofluence, a web application used to track and update users’ stock andcryptocurrency portfolio in a single interface built with React and Redux.• Designed and implemented an API for storing user data, stock price histories and additional stock info using Node.js, Express and MongoDB.• Technologies used: React, Redux, Express, MongoDB, Node.js

Tallahassee, Florida Area

• Developed search pagination fixing a slowly loading search page by modifying a Flask server and Backbone.js front end.• Redesigned and deployed a new enterprise landing page using Bootstrap.• Technologies used: Backbone.js, Flask, Python, JavaScript, Bootstrap