Karel Diaz Vergara

• Reduced infrastructure costs by 30% by setting up microservice-level AWS cost reporting via Cost Explorer and CloudWatch Metrics, and implementing targeted architectural optimizations.
• Improved service response times by 64% by migrating three PHP-based monolithic modules to AWS microservices using ECS, Lambda, API Gateway, DynamoDB, RDS Aurora, S3, and OpenSearch.
• Built and maintained RESTful application using Node.js and TypeScript with AWS services, collaborating in an Agile/Scrum environment alongside Python and JavaScript-based systems.
• Implemented comprehensive test coverage using Jest, Mocha, Supertest, Cypress, and Qase.
• Developed shared CDK constructs and backend SDKs with TypeScript and Python to accelerate microservice development and reduce onboarding time by 60% across the development team.
• Designed and executed a data migration strategy from Aurora MySQL to DynamoDB using AWS DMS, significantly reducing migration time; the approach was later adopted throughout the company.
• Introduced and implemented single-table design patterns in DynamoDB, leading schema design for all new services.
• Reduced median response times by 40% by instrumenting and benchmarking Lambda functions using CloudWatch, X-Ray, and custom metrics, driving architectural improvements.
• Spearheaded Kafka adoption by deploying the first Confluent-managed streaming pipeline, improving fault tolerance and scalability.
• Enhanced observability and incident response by integrating CloudWatch, SNS, AWS Chatbot, and Sentry with Slack for real-time alerts.
• Automated CI/CD pipelines using AWS CodePipeline, CodeBuild, and GitHub Actions to support robust testing and deployments.
• Automated internal workflows for 10+ teams using Python, reducing manual overhead and improving engineering productivity.