Marcelo Pinto
Ai Ml & Analytics Specialist Seller @Aws Canada
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WORK HISTORY
Ai Ml & Analytics Specialist Seller @Aws Canada
Toronto, ON, CA
Cloud solutions specialist with a proven track record of driving the migration and adoption of AWS services for AI/ML and analytics workloads. Adept at leveraging the scalability and flexibility of the cloud to deliver innovative data-driven solutions that unlock business value for clients. Skilled in aligning cutting-edge AWS technologies with specific customer needs and requirements to optimize performance and cost-efficiency. Recognized for the ability to collaborate cross-functionally and provide technical guidance that empowers teams to maximize the potential of cloud-based AI/ML and analytics capabilities.
EDUCATION
Universidade Federal do Paraná
Graduado, Engenharia Eletrônica
Fundação Dom Cabral
Master of Business Administration (M.B.A.), Business Administration and Management, General
Pontifícia Universidade Católica do Paraná
Pós-Graduação, Direção de Empresas
Pontifícia Universidade Católica do Paraná
Especialização, Telecomunicações
SKILLS
ABOUT MARCELO PINTO
As an AI/ML & Analytics Specialist Seller, I support organizations in migrating workloads, optimizing performance, and driving the adoption of cutting-edge AWS services tailored to their needs. I have focused on aligning innovative solutions with business objectives to deliver measurable value and cost-efficiency. With over 10 years of AWS experience, including a leadership role in Edge Services, my expertise spans cloud services, content delivery, and perimeter security. At AWS Canada, I collaborated with industry-leading clients in Media & Entertainment, e-commerce, and Software & Internet to enhance video streaming workflows and protect internet content. I am motivated by the opportunity to empower teams, mentor colleagues, and contribute to the broader success of organizations through strategic cloud adoption and migration- 30 years of technical and commercial experience- Proven leadership in managing sales teams- Deep knowledge of enterprise technology sales cycles- Experience across transformative technologies (Cloud Computing, AI/ML, Analytics, CDN, security)
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