Tanner Myers
Senior Data Engineer
11 years building at Amazon — data pipelines, cloud infrastructure, and AI systems
I've spent 11 years at Amazon progressing from customer service to owning production data infrastructure that processes 500K+ daily transactions. Self-taught across SQL, Python, Ruby, and AWS. Currently expanding into AI integration and full-stack development.
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
AI & Machine Learning
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