Global Data Connection Project: My objective is to design, administer and manage the scope of technology environment architecture where it is possible to migrate the on-prem environment to a multicentric health data structure, based on ontology, interoperability and cloud, collecting data from biosensors, hospital solutions and genomics. Our group (Einstein Global Advanced Technologies for Equity or TAES) had at its origins the purpose of contributing to the establishment of a culture of application of advanced technologies - based on the collection, processing and analysis of health-related data of each individual - to plan and guide interventions, in search of greater equity of access and improvement of the health system. Our challenge is to integrate a global data platform, allowing us to interact with research at the most diverse partner institutions around the world.

Cloud infrastructure trainer and mentor based on Google GCP, focusing on data engineering, data pipeline, architectural design creation and planning of cloud-based solutions.

Como Gerente de Engenharia de Dados baseado em nuvem, sou especialista em liderar equipes altamente qualificadas na concepção, desenvolvimento e implementação de soluções robustas de dados na nuvem. Com uma sólida compreensão das tecnologias de nuvem, como AWS, GCP e OCI, estou comprometido em garantir que nossos sistemas de dados sejam escaláveis, seguros e eficientes.Minhas responsabilidades incluem supervisionar o time que desenvolve e produz o ciclo de vida completo dos dados, desde a coleta e armazenamento até a análise e visualização. Trabalho em estreita colaboração com as equipes de engenharia de software e análise de dados para garantir a integridade e a qualidade dos dados, bem como para identificar oportunidades de otimização e automação.Além disso, gerencio aspectos administrativos e financeiros do departamento de engenharia de dados. Isso envolve o desenvolvimento e monitoramento de orçamentos, alocação de recursos, negociação de contratos com fornecedores de tecnologia e garantia de conformidade com as políticas internas e regulamentações externas.Como líder, busco constantemente promover um ambiente de trabalho colaborativo e motivador, incentivando o crescimento profissional e o desenvolvimento de habilidades em toda a equipe. Minha abordagem estratégica e orientada para resultados me permite alinhar os objetivos da equipe de engenharia de dados com os objetivos organizacionais mais amplos, impulsionando a inovação e o sucesso empresarial.

Technical Focus:Lead research, development, modification and evaluation of data ingestion, transformation and storage.Responsible for the design and implementation of agile and innovative infrastructure solutions.Apply and mentor others in advanced data engineering theories, principles and concepts.Lead and guide in fixing complex model design issues.Lead data integrity studies, including optimization studies and performance reviewsIdentify and act on opportunities to improve system process flow, cost, performance, and technical efficiencies.Continually pursue industry best practices and develop skills to create new capabilities for data engineering.Enhancing easy-to-consume, scalable, secure and reliable Platform as a Service using Big Data-based solutionsFacilitate knowledge transfer to the Engineering and Operations team during and after deployment.Business Focus:Contribute to competitive strategy, market, customer dynamics and competitive offers.Apply understanding of agile procedures to improve digital product development.Contribute to customer-centric design activities in partnership with internal and external stakeholders.Identify and support business needs, holistic solutions that integrate with existing data and technical solutions.Apply the “Big Board” business requirements that drive architecture and design decisions.Experiences:Cloud Platforms: Google and AWS.ETL Data Engineering ELT Batch Streaming.Languages: SQL, Java, Python, RDatabases: Oracle, PostgreSQL, MySQL, MongoDB, Redis, BigQuery, Redshift and DynamoDBData pipelines using Sqoop, Spark, Kafka, Airflow, Hadoop, Hive.Development of software engineering best practicesCI/CD using DevOps tools with Jenkins.GitOps version controlBuilding APIs

Data Specialist in the DASA Ecosystem; Lead data modeling and structuring team; Equalize operations data model (Diagnosis, Hospital and Assistive Care); Conduct IT infrastructure designs and architectures; Produce Datamarts according to business needs; Conduct projects with a vision of delivering for the ecosystem; Conduct data migration; Conduct refinement and specification of products for the healthcare market; Drive rapid innovation and experimentation and deliver new insights to customers with increasing agility; Produce data with high quality and significantly reduced error rates; Collaborate across complex matrices of people, technology and environments; Clear measurement and monitor transparency of results; Corporate Datalake FinOps.

Healthcare business model consultancy; Design of strategic models in dimensional database, AWS Amazon /Google Cloud; Create statistical forecast models in Analytics; Create ETL models from Oracle, MySQL, PostgresSQL databases; Sqoop, Hadoop, Spark .

Manage project documentation requirements and activity; Analyze adherence of technical processes to information technology models; Technology Adherence Survey during acquisition; Raise requirements with leaders; Documentation of requirements and use of the Scrum tool; GAP analysis.

Manage project documentation requirements and activity; Analyze adherence of technical processes to information technology models; Reporting of demands from the Centers: Operational Technicians, Hospital Technicians and Support Market; Raise requirements with laboratory medical leaders; Requirements documentation using the UML modeling tool; Approval of documentation with the change management team; Technical relationship with software factories (Delphi, Java, ASP, Mumps, PHP and Phyton); Manage evolution and delivery of project portfolio; Implement an XML transactional data model between the Customer Service system and production; Complete implementation of Roche sample processing mat (NTO SP); Implement HORIBA conveyor belt for sample processing (NTO RJ); Hematology; Implement LIS Dasa connectivity model with SAP ERP; Migration of the volume of exams from the Cascavel/Paraná Support Market to São Paulo; Implement a unique support market connectivity model; Versioning of the LIS in production at (NTO RJ); Replace the automation model for analytical equipment in Brazilian hospitals.

Closing of a contract for integration with the public market segment. Requirements gathering from social organizations. Design of solutions for integration of requests and laboratory results, webservice.

Requirements gathering with market support laboratories. Design of solutions for integration of requests and results; Monitoring projects for migration of executing units.

Migração do sistema de atendimento de Mumps para tecnologia Java, Servlet, Tomcat;Desenvolvimento e manutenção de códigos de ferramentas para impressão Applet (Java);Desenvolvimento e manutenção de códigos de sistemas laboratoriais LIS (Caché, MUMPS);Desenvolvimento e manutenção de códigos de sistemas hospitalares HIS (Caché, MUMPS);Desenvolvimento e manutenção de códigos de ferramentas de conectividade com sistemas de prontuário eletrônico hospitalar (EMR)Desenvolvimento e manutenção de códigos de ferramentas de conectividade com sistemas de hotelaria hospitalar (SIC).