Ahead of the AI
Juliana Maria Lopes

About

Juliana Maria Lopes

3x Microsoft MVP · AI & Data Executive · Big Data & BI Architect Specialist · Microsoft MCT · 10x Microsoft Certified · 3x Databricks Certified

São Paulo, Brasil

Technology executive with more than 20 years of experience leading Artificial Intelligence, Data and Analytics initiatives, working strategically on solution design, enterprise architecture and platform modernization at large organizations such as NET, Claro, Telefônica, C&A, Nestlé, UHG, Avon and Natura.

Over her career she has built deep experience in data ecosystems, analytical environments, Big Data, Data Warehouse and scalable cloud architectures, connecting business vision, innovation and technical excellence. In recent years she has expanded her work in Azure Cloud, Databricks and AI-driven solutions, helping companies adopt modern platforms that speed up decisions, increase efficiency and create competitive advantage.

She has a strong track record in technical leadership, solution architecture and engineering team management, working in consulting firms and on highly complex projects. Her approach combines technical depth with an executive view, positioning AI, Data and Analytics as central pillars for transformation, automation, scalability and value creation.

She is also active in developing professionals and strengthening the technology ecosystem, with academic experience at FIAP, specialized training programs and active participation in the Microsoft community. She holds certifications such as Azure Data Engineer Associate and Azure Database Administrator Associate, and was recognized as a Microsoft Certified Trainer for 4 consecutive years.

She mentors professionals on career development and keeps an active presence on LinkedIn, where she shares her views on architecture, modern platforms, artificial intelligence and the future of Data and Analytics in organizations.

Interests: Artificial Intelligence · Data & Analytics · Executive Technology Leadership · Solution Architecture · Azure Cloud · Databricks · Microsoft Fabric · AI Agents · Data Engineering · Cloud Architecture