- Lead the architecture and development of Azure-based data solutions for a diverse clientele, ensuring data scalability, security, and performance.- Designed and implemented data pipelines using Azure Data Factory, automating data extraction, transformation, and loading processes, reducing data processing time by 40%.Implemented real-time data streaming using Azure Stream Analytics, enabling actionable insights for operational monitoring and decision-making.- Utilized Azure Databricks for big data processing, performing complex analytics tasks on large datasets, resulting in a 50% improvement in data analysis efficiency.Created and maintained data pipelines for business consumers.- Enhanced data systems continuously by working closely with data and analytics experts on greater functionality.- Delivered robust cloud-based solutions in collaboration with digital product managers.Improved database development with well-built models showing potential solutions and structural design.- Created useful database systems by collecting requirements directly from analysts.Built highly scalable databases with desired performance abilities and features.Verified quality of database updates with standardized quality assurance tests.

Consultoria especializada nas melhores ferramentas de Business Intelligence e analise de dados para sua empresa .

-Lead the architecture and development of Azure-based data solutions for a diverse clientele, ensuring data scalability, security, and performance.-Designed and implemented data pipelines using Azure Data Factory, automating data extraction, transformation, and loading processes, reducing data processing time by 40%.-Implemented real-time data streaming using Azure Stream Analytics, enabling actionable insights for operational monitoring and decision-making.-Utilized Azure Databricks for big data processing, performing complex analytics tasks on large datasets, resulting in a 50% improvement in data analysis efficiency.-Created and maintained data pipelines for business consumers.Enhanced data systems continuously by working closely with data and analytics experts on greater functionality.-Delivered robust cloud-based solutions in collaboration with digital product managers.Improved database development with well-built models showing potential solutions and structural design.-Created useful database systems by collecting requirements directly from analysts.-Built highly scalable databases with desired performance abilities and features.-Verified quality of database updates with standardized quality assurance tests.

- Developed and maintained data pipelines on Microsoft Azure to support data integration from on-premises systems to Azure Data Lake Storage and Azure SQL Database.- Developed and maintained data pipelines on AWS Cloud to support data integration from on-premises systems to AWS GLUE Lake Storage and Athena Database for consume in Tableau Data Visualization.- Implemented scalable big data processing using Azure Databricks, reducing data processing time by 40% for large-scale datasets.- Led the migration of legacy data systems to Azure cloud infrastructure, resulting in cost savings of 30% and increased data availability and accessibility.- Collaborated with DevOps teams to implement CI/CD pipelines for data solutions, streamlining deployment processes and ensuring efficient data delivery.- Conducted performance tuning of Azure SQL Database queries, optimizing query execution times and improving overall system performance.- Led theData Governation , applying data governance best practices .

- Developed and maintained data pipelines on Microsoft Azure to support data integration from on-premises systems to Azure Data Lake Storage and Azure SQL Database.- Implemented scalable big data processing using Azure Databricks, reducing data processing time by 40% for large-scale datasets.- Led the migration of legacy data systems to Azure cloud infrastructure, resulting in cost savings of 30% and increased data availability and accessibility.Collaborated with DevOps teams to implement CI/CD pipelines for data solutions, streamlining deployment processes and ensuring efficient data delivery.- Conducted performance tuning of Azure SQL Database queries, optimizing query execution times and improving overall system performance.

Data Solution Design and Architecture: Led the design and implementation of end-to-end data solutions, including data models, data pipelines, and data warehousing architecture, to address clients' specific business objectives while ensuring scalability, performance, and security.Big Data Processing and Analytics: Utilized advanced big data technologies like Apache Hadoop, Spark, and Kafka to process and analyze large volumes of structured and unstructured data, enabling clients to derive valuable insights from their data assets.Business Intelligence and Data Visualization: Developed interactive and visually compelling dashboards, reports, and data visualizations using tools like Tableau and Power BI, enabling effective communication of insights to business stakeholders.Data Quality Assurance and Governance: Implemented robust data quality checks and data governance practices to ensure data accuracy, consistency, and compliance with industry standards and regulations, fostering trust in data-driven decision-making.Client Consultation and Team Leadership: Engaged in client-facing interactions, offering strategic consultancy on data-driven strategies, best practices, and data-related decision-making. Additionally, provided leadership to cross-functional teams and mentored junior consultants to drive successful project outcomes.

Data Strategy and Solution Expertise: Demonstrated proficiency in developing and executing data strategies to meet diverse business needs. Possess in-depth knowledge of big data technologies, including Apache Hadoop, Spark, Kafka, and cloud-based data platforms like Microsoft Azure or Amazon Web Services (AWS). Proven track record of designing end-to-end data solutions, data models, and data architectures that drive actionable insights and enable data-driven decision-making.Analytical and Problem-Solving Skills: Strong analytical mindset with the ability to analyze complex data sets, identify patterns, and extract meaningful insights. Adept at developing data-driven solutions to solve business challenges and optimize processes. Skilled in conducting data analysis, performance tuning, and optimization to enhance data processing efficiency and overall system performance.Client-Focused Consultation: Highly effective communicator and consultant with a focus on understanding client requirements and translating them into actionable data strategies. Proven experience in engaging with stakeholders at all levels of the organization, conducting workshops, and delivering compelling presentations. Dedicated to providing top-notch client service, guiding businesses to leverage data assets for strategic growth and competitive advantage.

– Alocado : Fábrica de Software - Projeto CNCAtividades: Desenvolvimento full-stack de novas funções, manutenção e correção de Bug no sistema do cliente CNC utilizando as tecnologias de linguagem .Net c# WebForms, Banco de dados SQL Server, Framework DevExpress .

Alocado : Cliente ECAD – Janeiro/2017 a Agosto/2017Atividades: Desenvolvimento full-stack de novas funções, manutenção e correção de Bug no sistema do cliente utilizando as tecnologias de linguagem .Net c# utilizando serviços WCF, NancyFX e WebAPI, Banco de dados ElasticSearch, Oracle, SQL Server NHibernate, Metodologia Scrum, Arquiteturas Event-Driven-Architecture(EDA),Domain-Driven-Design (DDD), Test-Driven-Design (TDD), Ferramentas TFS (Team Foundation Server), Frontend WPF, padrões de projeto MVVM, Command Query Responsibility Segregation (CQRS), Event Sourcing (ES), RabbitMQ, MAsstransit/NServiceBus

I attended the course offered by the company where this period was taught the language Natural / Adabas,all their concepts and tools for high- complexity operations and amount of information.

Desenvolvimento: C#, ASP.NET, JavaScript, HTML, CSS, jQuery, AJAX, SQL, Oracle, SQL Server, MySQL, T-SQL, PL/SQL, WCF, REST, REST, SOAP, Google Api,,Kendo ui, Bootstrap.- Métodos de desenvolvimento: POO, Programação Concorrente, MVC 5 Razor.

implementation languages ​​ASP to ASPX and C # in MVC pattern

Francisco Ferreira BarretoEstagiário de Setup/Suporte - SESU

Prestar suporte empresarial aos clientes da empresa por meio de uma SLA ou chamado aberto via servicedesk. Atendimento presencial e remoto a ferramentas microsoft, linux e MacOSx , automação comercial, servidores, banco de dados ,Hardware.