· Optimize concurrent video slicing to generate finish line videos for brands including Red Bull, Spartan Race; reduced time to generate 100K videos from 20 hours to 30 minutes - Bash, ECS, Node.js, Python, Terraform

· Design and optimize database for analytics for all photo and order metrics for MSC Cruises; extract raw data from on-premise servers to the cloud; implement parallel in-memory calculation, allowing data to be cached, decreasing latency and cost by over 50% - S3, Athena, QuickSight

· Implement alerting for microservices; increasing observability and uptime - CloudWatch

· Create and deploy REST APIs and maintain documentation: api-docs.photobutler.com - Go, Node.js, Python

· Implement migration pipeline to generate new data in databases to dynamically update data for over 1.5M assets in production databases without affecting user experience - Python, Lambda, S3, SQL, SQS

· Implement Instagram scraper; averaging <5% rate limit; over 2.8M assets scraped - Batch, Docker, Python

· Develop load tester to dynamically and concurrently ingest assets to measure speed and weaknesses of APIs and servers, ensuring product met clients’ requirements for Nikon at CES 2020 - Golang

· Refactor legacy SQL queries, convert to ORM to incorporate a database abstraction layer; increasing efficiency security, protecting from SQL injection attacks – Node.js, SQL

· Created tools to automate file ingestion and quality assurance regression testing, removing user error and improving time for consistent regression testing – Python

· Design and integrate pipeline to automatically capture, upload, and detect text in image using a trained Neural Network for MLB team to send to clients, saving the team $100K+ annually - ECS, Python, Lambda, S3