McLean, Virginia, United States
AWS Certified Solutions Architect with experience building serverless ETL pipelines that reduced costs by 60% while processing up to 10TB of sensitive data daily.
Developed high-performance APIs (averaging under 200ms latency) in Python and NodeJS to retrieve workflow execution metadata from AWS DynamoDB.
Created Java Spring Boot API endpoints providing real-time alerts and metrics for data quality jobs, saving approximately 20 engineering hours weekly in debugging efforts.
Designed and implemented React-based UIs with GraphQL backends, enabling internal users to create over 750 no-code workflows and saving thousands of developer hours annually.
Built secure React interfaces to manage AWS S3 buckets containing sensitive data, allowing internal engineers to remediate over 90% of uncaught vulnerabilities.
Contributed to enterprise data quality services implementing Spark jobs on datasets used in credit card decisioning and ML fraud models, helping achieve $10M annual infrastructure savings.