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Vinicius Saraiva Chagas
Lead Data Engineer @AB InBev
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WORK HISTORY
Lead Data Engineer @AB InBev
As the Data Engineering Team Lead for the Digital Communications squad, I designed and developed an architecture that integrates multiple Databricks pipelines with our CRM. This system powers personalized digital communications, enhancing the user experience within the application. Key Results: Scaled the solution to 9 countries. Achieved a daily reach of over 2 million users.
EDUCATION
Universidade Federal do Paraná
Master's degree, Biomathematics, Bioinformatics, and Computational Biology
Etec Adolpho Berezin
Technical, Informatics
Universidade Federal do Paraná
Bachelor's degree, Biology/Biological Sciences, General
SKILLS
ABOUT VINICIUS SARAIVA CHAGAS
Data Engineering & Machine Learning Leader specializing in building scalable data platforms and AI-powered solutions that drive significant business impact. With a proven track record from startups to large-scale enterprises, I architect and implement robust systems that process millions of transactions and personalize experiences for millions of users daily.My expertise spans the entire data lifecycle, from designing real-time data pipelines and event-driven architectures to developing and deploying production-grade Machine Learning and RAG systems. I am passionate about transforming data into a strategic asset, enabling data-driven decision-making, and delivering tangible results in customer experience, operational efficiency, and revenue growth.Core Competencies: Technical Leadership: Leading cross-functional data teams to deliver complex, multi-country projects. Data Architecture: Event-Driven Systems (Kafka), Data Warehousing, ETL/ELT, Real-time Processing Cloud & Tools: Databricks, GCP, AWS, Kubernetes, PostgreSQL AI/ML Engineering: LLMs, RAG Architecture, LangChain, LangGraph, LangFuse, Model Deployment Languages: Python, SQL, Clojure, KotlinRecent Achievements: Scalable Personalization: As Data Engineering Team Lead, architected a system on Databricks integrating with CRM to generate personalized digital communications for over 2 million users daily across 7 countries. AI-Powered Efficiency: Reduced support ticket volume by 20% by developing an AI support assistant using a sophisticated RAG architecture (LangGraph, LangChain) to handle customer inquiries. Process Revolution: Slashed credit analysis workflow time from 30 days to 4 hours by architecting end-to-end data pipelines and automated risk analysis systems, drastically improving customer satisfaction. Platform Development: Led the build of a multi-partner insurance platform processing $10M+ in annual premiums with 99.99% uptime.I am continuously exploring the intersection of data engineering and generative AI to build the next generation of intelligent applications.
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