Tanner Myers
Software Engineer
Specializing in Data & Cloud
11 years at Amazon with 7 years specializing in data engineering—building production-grade data pipelines, cloud infrastructure, and full-stack applications that drive measurable business impact. I specialize in Python, Ruby, JavaScript, and AWS, with expertise in data engineering, serverless architecture, and modern frameworks. Passionate about continuous learning and solving complex challenges—whether architecting scalable backend systems, designing secure applications, or crafting intuitive frontend experiences.
Technical Skills
From data pipelines to full-stack applications—continuously learning and building across the entire stack
Data Engineering & Analytics
Cloud & Infrastructure
Full-Stack Development
Featured Projects
Showcasing cloud architecture, full-stack applications, and data engineering solutions
Recipe App Infrastructure
Serverless AWS infrastructure for a recipe sharing application built with AWS CDK and TypeScript. Features a complete REST API with authentication, image storage, and database management using Infr...
Impact: Fully serverless architecture with automatic scaling, sub-second API response times, and 99.99% availability through AWS managed services
What's for Lunch
A serverless restaurant discovery app that helps users find lunch options by providing 3 random restaurant suggestions based on location, cuisine category, and distance preferences. Built with AWS ...
Impact: Reduced monthly hosting costs from $7 to $0 (100% savings) by migrating to AWS serverless architecture. Improved cold start performance from 500ms (Ruby) to 100ms (Node.js). Serves restaurant recommendations with sub-3-second API response times.
Weather Notification Service
Automated weather notification system featuring a scheduled Ruby script that gathers weather data from API, processes and cleanses the results, and loads them into a PostgreSQL database. Users can ...
Impact: Automated daily weather notifications with user-configurable delivery times, reducing morning routine friction through proactive weather alerts
Sandbox Clean Up Automation
Automated Redshift sandbox schema management system that scans monthly for unused and production-ready tables. The solution analyzes table usage patterns: drops tables unused for 30+ days, preserve...
Impact: Eliminated manual cleanup work for Data Engineering team, significantly reduced cluster storage costs, maintained regulatory compliance, and enabled team to focus on high-value work including data pipeline creation, operational excellence, and process improvement initiatives
Let's Work Together
Interested in collaborating or learning more about my work? Get in touch.
Contact Me