Carlos Hurtado
Systems Development Engineer Ii @Amazon
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WORK HISTORY
Systems Development Engineer Ii @Amazon
Extended internal AI chat platform with agentic tool-use capabilities (LangChain, FastAPI); connected to live data sources including CloudWatch Logs, DynamoDB, and internal ticketing systems• Led full-stack development of a labor planning system (React, GraphQL, AWS Lambda, CDK, DynamoDB) for North American distribution centres• Designed 3-phase shift planning workflow processing real-time attendance data synced every second across operational zones• Introduced single-table DynamoDB design with environment-namespaced partition keys; pattern adopted across multiple team projects• Built first GraphQL application on the team: schema auto-generated and propagated to the frontend, eliminating manual type maintenance• Refactored line business model into a composable package with domain-separated calculation modules• Extracted labour planner into a reusable template now hosting 30+ internal applications• Reduced planning time from 45 to 15 minutes per shift• Designed and delivered in 2 months a self-service charity donations external platform (React, TypeScript, Lambda, CDK, DynamoDB, Cognito) — first external-facing service on the team• Implemented layered zero-trust security: Cognito JWT → API Gateway → IAM-scoped Lambda invocation• Eliminated ~66 hours/week of effort across 22 sites; onboarded 5 charities in month one• Scaled procurement platform from 200 to 500+ sites across Amazon Fresh, Whole Foods, and 3rd-party customers• Designed rules engine (Strategy pattern) for inventory validation across 3 business units — config-driven, no code changes per business• Authored architectural proposals (single-table DynamoDB redesign) to address N+1 query scaling issues• Replaced legacy Excel macro system: Phase 1 (Angular/Electron + Pentaho ETL) reduced processing from 90 to 5 minutes across 22 sites; Phase 2 (AWS Glue, Scala) reduced to 2 minutes, scaled to 46 sites; system still in production 5+ years later; recognised as Tableau SME across EMEA
EDUCATION
Universidad Central de Venezuela
Bachelor of Computer Science, Artificial Intelligence
IE Business School
Master of Business Administration (IMBA), Business Administration and Management, General
SKILLS
ABOUT CARLOS HURTADO
I build things that work at scale and save people time.At Amazon, I’ve led full-stack development of labour planning systems serving North American grocery distribution centres, designed zero-trust external platforms, and scaled procurement systems from 200 to 500+ sites across Fresh, Whole Foods, and third-party customers. My stack centres on TypeScript, React, GraphQL, AWS Lambda, CDK, and DynamoDB — with a strong foundation in data pipelines (Kafka, Flink) from my consulting years.Before Amazon, I spent 6 years consulting for organisations including NHS, PepsiCo, Suntory, HS2, and Swissport — architecting data pipelines processing millions of rows per minute, building real-time dashboards, and delivering measurable savings (8M CHF for one client alone).I hold an MBA from IE Business School (ranked 3rd in Europe) and a Computer Science degree with an AI specialisation. I’m bilingual in English and Spanish.I’m currently exploring senior/staff engineer and engineering lead opportunities in London where I can tackle complex technical challenges at scale.
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