Introduced coverage to SSR React w/ Next.js repository and trained teammates on testing

Reviewed code and participated in collaborative system and application design process

Monitored application health using Cloudwatch and Sentry

I feel most proud of:

On the backend, I worked in .NET(w/C#) and MySql. I contributed to architectural decisions pertaining to transient fault handling with Polly, caching with Redis, and logging with Sentry, as well as maintenance of a RESTful web API.

On the frontend, I primarily worked with Vue and Vanilla JS. I wrote unit tests with Jest. I contributed to frontend architectural decisions pertaining to client side caching, logging with Sentry, bundle size optimization with Webpack. I resolved memory issues and monitored performance using Chrome DevTools.

As a backend team member, I worked in an agile process with Node.js micro-services, Docker, postgreSQL databases, GraphQL, AMQP with RabbitMQ, MQTT, Redis, as well as our CI/CD and deployment infrastructure using Circle CI and Heroku.

One of the core challenges we faced was around ingesting, normalizing and indexing for search large volumes of real estate data from dozens of MLS feeds. My proudest technical achievement from this time is a notification system that would update users about properties of potential interest to them based on their recent saved searches. This scaled reliably to tens of thousands of users, dozens of MLS feeds and changing business requirements. This involved consuming MLS APIs, orchestrating asynchronous normalization and indexing tasks using message queues (RabbitMQ) subscribed to by microservices built in Node.js interfacing with postgreSQL databases, indexing data in Algolia, and sending emails programatically with Mailjet's API.