Google Developer Groups Summit LATAM Speaker
→
Summary
Actively participated as an international speaker at major developer conferences across Latin America.
Senior Data and Cloud Engineer with a decade of experience in Data Engineering, specializing in multi-cloud environments (AWS, GCP, Azure, OCI, IBM Cloud) and advanced AI/ML/LLM solutions, including MLOps with Vertex AI, Claude, and Gemini. Proven track record in designing and implementing scalable data architectures, automated pipelines, and driving AI-first strategies for global teams across diverse industries, including healthcare. A recognized community leader and international speaker, adept at transforming complex data into intelligent, automated actions to achieve strategic business objectives.
Senior Cloud Engineer, Google Cloud Specialist
New York, New York, US
→
Summary
As a Cloud and AI Specialist, ensures the robustness and innovation of the organization's Google Cloud ecosystem, focusing on AI-First solutions.
Highlights
Engineered scalable and highly available cloud solutions with AI as a core component, developing complex machine learning models for banking, healthcare, and technology sectors.
Implemented advanced architectures, including Retrieval-Augmented Generation (RAG) and Reinforcement Learning, to deliver precise, high-value results.
Designed and deployed cutting-edge AI applications, agents, and multi-agent systems using Google tools (AgentSpace, Vertex AI, Gemini, Dialog Flow) and open-source frameworks (Crew AI, LangChain).
Transformed data into intelligent, automated actions, enhancing operational efficiency and strategic decision-making.
FinOps Engineer
São Paulo, São Paulo, Brazil
→
Summary
Expert in cost optimization and compliance, leveraging data analysis, AI, and automation to drive efficiency and reduce expenses in multi-cloud environments.
Highlights
Identified and implemented innovative solutions to minimize costs and ensure regulatory adherence across Azure, GCP, and AWS multi-cloud platforms.
Participated in a crucial Federal Government project, managing sensitive data from the Official Gazette of the Union.
Utilized data analysis and AI to extract information, identify patterns, and optimize acquisition processes, enhancing transparency.
Combined strategic vision with technical execution to enable sustainable financial and operational objectives for organizations.
Data Engineer
São Paulo, São Paulo, Brazil
→
Summary
Led large-scale data processing on Google Cloud and Microsoft Azure, developing ETL/ELT pipelines and scalable Data Lake architectures.
Highlights
Orchestrated data workflows using Airflow, optimizing complex SQL queries in BigQuery and automating data processes with Alteryx, improving data performance.
Pioneered a data-driven culture within the LATAM data team, fostering collaboration with business units for Data Lake validation and testing.
Implemented cybersecurity measures for Data Lakes/Lakehouses, identifying and mitigating vulnerabilities to protect critical information.
Led and instructed data training sessions (analytics, science, engineering) and cloud computing (Google Cloud) for interns and new hires.
Defined and executed the initial phase of an automated testing system using Generative AI (Vertex AI and Gemini), including Google Cloud resource monitoring.
Contributed actively to the development of the first Data Lake for Ford Motor Company across Latin America.
Senior Data Engineer
São Paulo, São Paulo, Brazil
→
Summary
Developed web applications using JavaScript, Angular, and Liferay DXP, focusing on integration, APIs, and database management.
Highlights
Developed robust web applications leveraging JavaScript, Angular, and Liferay DXP, ensuring high quality and delivery through unit and integration testing.
Integrated systems and APIs using InterSystems (IRIS, Caché, Ensemble, COS, Zen, CSP), REST APIs with Python, Java 8+, and Spring Framework.
Managed and optimized databases including PostgreSQL, SQL Server, and Oracle, contributing to system reliability and performance.
Implemented CI/CD practices to streamline development workflows and improve deployment efficiency.
Software Engineer Mid-Level
Brasília, Distrito Federal, Brazil
→
Summary
Provided technical support, code review, and application development for legal and healthcare systems for major Brazilian public entities.
Highlights
Developed and enhanced applications for legal and healthcare systems using SQL, PL/SQL, Python, JavaScript, and InterSystems technologies.
Designed and implemented ETL pipelines, performing data analysis and integration with IRIS Data Platform and MDX to support critical operations.
Maintained and optimized database management systems (PostgreSQL, SQL Server, Redis, Oracle, MongoDB), ensuring data integrity and system availability.
Conducted code reviews and provided technical support, contributing to the stability and performance of public sector applications.
Software Engineering Intern
Brasília, Distrito Federal, Brazil
→
Summary
Developed databases and conducted data analysis, creating dashboards and automating tasks for the legal intranet and web applications.
Highlights
Developed and maintained databases using MySQL and IBM DB2, supporting critical data storage and retrieval needs.
Performed data analysis and statistical reporting using SAS (Enterprise Guide and Data Explorer Management) to inform decision-making.
Created interactive dashboards with PowerBI and Spotfire, providing key insights into operational performance.
Implemented Python and Go scripts to automate tasks, significantly improving efficiency and reducing manual effort.
Assisted in developing web applications for the legal intranet using Java and Spring Framework, enhancing internal communication and data access.
→
Associate's Degree
Architecting Cloud Solutions
→
Bachelor's Degree
Software Engineering
Awarded By
Airflow Community
Awarded for significant contributions to the development and evolution of Airflow technologies.
Awarded By
Recognized for leadership and contributions as a Google Developer Groups Organizer.
Awarded By
Microsoft
Awarded for outstanding contributions to the Microsoft technical community.
Issued By
Microsoft
Issued By
Microsoft
Issued By
AWS
Issued By
Astronomer
Issued By
Astronomer
Issued By
GitHub
Issued By
IBM
Issued By
Google Cloud
Issued By
Google Cloud
Python (Data Manipulation, Code Optimization), Advanced SQL, ETL/ELT, REST APIs.
Google Cloud Platform (GCP), VertexAI, AWS, Microsoft Azure, Multi-cloud, DevOps, CI/CD.
Data Engineering, Data Science, AI, Machine Learning, Generative AI (Gemini), Apache Airflow (Orchestration), Databricks, Alteryx, SAS.
Automation, Optimization, FinOps, Cybersecurity.
SQL Server, MongoDB, IBM DB2, Cloud SQL, DynamoDB, Google BigQuery, Azure Data Lake Gen2, InterSystems IRIS/Cache.
Leadership, Mentoring, Communication, Strategic Vision.
Google Developer Groups Organizer, Google Cloud AI Trusted Tester, Google Cloud Innovators, Google AI Developers, Microsoft Student Ambassador, Apple Developer Program, GitHub Program Member, TESU Alumni.
→
Summary
Actively participated as an international speaker at major developer conferences across Latin America.
→
Summary
Presented at various editions of Campus Party, a major technology and innovation festival.
→
Summary
Coordinated specialized tracks for The Developer's Conference, a leading tech event in Brazil.
→
Summary
Delivered a presentation on 'Cloud Computing and Sustainability: Reducing Costs and Increasing Efficiency in Public and Private Sector' at TDC Brasília.
→
Summary
Served as a professor and instructor for Google Cloud Platform and Artificial Intelligence at Cognizant.