Implemented data pipelines in AWS CDK from Redshift to S3 to DynamoDB using Spark/EMR/EKS and Lambda, loading more than 5 million rows per day and used directly for production business logic.

Designed and implemented request validations, alarms, and automated ticketing for our APIs that handle over 250 million requests a day, eliminating ~10 high severity issues annually.

Wrote a script to analyze over 2000 support tickets and generated a report with detailed statistics and data visualizations, identifying key issues and raising them to leadership for prioritization.

Designed, built, and tested a documentation-as-code system for internal use, reaching over 5000 users a month and reducing our support tickets by 70% QoQ.

Participated in the team on-call rotation to deep dive over 100 support tickets and work with varying teams across the microservices organization to resolve high severity issues and maintain operational excellence goals.

Created CI/CD workflows to shadow test production traffic in our deployment pipeline for over 50 deployments a week to a fleet of >500 hosts.

Led 15 engineers and designers in building a web app using React and Firebase for students in over 30 schools.

Built an entire suite of music supply chain and customer authentication tools using BigQuery, Python, and Google Cloud Functions, leading to a 20% reduction in production time and rapid onboarding for partner schools.

Used a combination of data-driven and interview-based methods to iterate on the product and achieve better engagement with users.

Built financial projections and models to evaluate pricing and future scalability for the business.

Interacted directly with administrators and teachers in our partner schools to provide personalized training.