Andrea Balbo
Sr Business Intelligence Engineer Ai Technical Lead @Amazon
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WORK HISTORY
Sr Business Intelligence Engineer Ai Technical Lead @Amazon
Milan, IT
Built an AI-powered selection guidance platform end-to-end — PySpark Glue ETL processing multi-million records, Step Functions orchestration, Lambda functions with a multi-step LLM pipeline (analysis, guardrails, formatting), FIFO SQS queues, DynamoDB tracking, and a React/TypeScript frontend with real-time multi-language translation and PDF generation. Targeting $350M in incremental revenue- Designed and productionized a product matching system — two-phase pipeline (Glue/PySpark preprocessing, SageMaker Processing matching) with marketplace-by-product-type sharding for linear scalability. Drove the shift from LLM-based to deterministic extraction, cutting pipeline costs by ~95%. Outputs feed selection dashboards and shaped worldwide approaches- Architected an AI-powered financial document assistant (V1: LangChain/LangGraph + Bedrock + Kendra + Athena + React; V2-V3: enterprise AI platform), enforcing the principle \"no custom runtime once the platform meets core use cases\". Redirected multiple teams from parallel custom builds to a single architecture.~200 finance users,~50% reduction in ad-hoc requests- Led a cross-org worldwide finance GenAI working group spanning retail and marketplace organizations. Trained 50+ engineers on RAG, agentic systems, and AWS AI services. Mentored engineers through promotions, served on promotion panels, and presented to 150+ person audiences and to VP-level leadership- Built AWS infrastructure and governance for the organization\'s cloud account — IAM policies, security review coordination, compliance enforcement wikis. Proactively resolved platform-level issues by tracing root causes in upstream codebases
EDUCATION
Università degli Studi di Milano-Bicocca
Statistical and Economic Sciences
ITIS E. Alessandrini
High School Diploma, Computer Science
Universidad Camilo José Cela
Master in Big Data and Business Analytics
SKILLS
ABOUT ANDREA BALBO
I turn complex enterprise problems into production AI systems — fast.At Amazon, I\'m the designated AI Technical Lead for the European marketplace division. I\'ve built Gen-AI platforms from zero to thousands of users, including a product selection guidance system targeting $350M in opportunity — reducing consultants workload from 5+ hours to under 5 minutes.Most enterprise AI never makes it past the demo. The gap isn\'t the models — it\'s the engineering to make them production-ready, cost-efficient, and trusted at scale. That\'s the problem I solve.I don\'t just build models — I build products. The full stack: PySpark data pipelines, serverless orchestration (Lambda, Step Functions, SageMaker), Gen-AI processing (Bedrock, LangChain/LangGraph, RAG), structured LLM outputs (Instructor + Pydantic), and React/TypeScript frontends. I architect for durability — and I know when to deprecate my own custom infrastructure in favor of a platform solution.The numbers:→ $350M+ incremental revenue opportunity addressed→ active users on enterprise developer tools I built→ engineering hours/month saved across the organization→ ~95% reduction in recurring ML pipeline costs→ ~50% reduction in ad-hoc finance requests via AI document assistant→ 50+ engineers trained as AI practitionersMy arc: statistics and data engineering foundations → BI engineering at Amazon → full-stack AI engineering → AI technical leadership. I lead my org\'s AI incubator, mentor engineers through promotions, coordinate cross-org AI strategy, and present to VP-level leadership.Open to connecting with AI/ML leaders and teams building Gen AI in production. Let\'s talk.
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