• Increased revenue by £1M by leading the development and successful launch of a finance automation solution for EU/UK invoicing to streamline the collection of regional duties/fees from sellers, saving 3 hours of manual effort per user.

• Eliminated manual spreadsheet tracking through automation and saved 2 hours of manual effort per user by leading the development and launch of a system to automatically process 10,000+ continuous bonds for US customers.

• Generated an additional 7k+ shipments in monthly throughput and reduced onboarding friction by managing inbound data flows from external Transportation Management Systems by integrating with Chain.io using S3, SQS, and Lambda.

• Spearheaded the transition from legacy Serverless architecture to modular AWS resources for microservice infrastructure by creating CDK constructs for S3 buckets, SQS queues, DynamoDB tables, and Lambda functions.

• Reduced the code size of Amazon's backend services by 80%, optimized resource usage, and improved the developer experience by creating a reusable API toolkit to generate turn-key CRUD queries and mutations using TypeScript.

• Designed a modular UI table with React to enable 50+ customs filing operators to query Elasticsearch, manage workflows and day-to-day shipment activities, and provide a holistic view of overall shipments.

• Managed inbound/outbound messages with US Customs by leveraging a Docker file to execute Python scripts that polled SQS messages and controlled the traffic for IBM message queues, enabling automated shipment processing.

• Increased customer interest in system onboarding by 15% by developing a new email ingestion system to allow customers to automatically upload shipment documents using SES and Lambda, saving users 15 minutes of time per instance.

• Coordinated design meetings with business & technology stakeholders to ensure project deliverables met customer needs.