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Marcelo Cardoso
Backend Java Developer Software Engineer Data Engineer Aws Solutions Architect @NTT DATA
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WORK HISTORY
Backend Java Developer Software Engineer Data Engineer Aws Solutions Architect @NTT DATA
Florianópolis, BR
Desafio:Integrar sistemas legados e construir soluções escaláveis em um ambiente de alta complexidade e missão crítica.Solução:Desenvolvi e integrei microsserviços backend utilizando Java, Spring Boot e arquitetura em camadas, garantindo modularidade e facilidade de manutenção.Projetei e implementei pipelines de dados robustos com Spark, Kafka, Glue e Python, realizando ingestão de grandes volumes de dados no Redshift e S3 para análises quase em tempo real.Automatizei o provisionamento da infraestrutura AWS com Terraform e CloudFormation, utilizando CI/CD com Jenkins e Docker.Impacto:Reduzi o tempo de entrega de novas funcionalidades em 40% por meio da automação dos pipelines de dados.Melhorei a performance de APIs críticas em 50% com reengenharia de queries e cache estratégico.Aumentei a governança e observabilidade dos dados com uso de logs estruturados, CloudWatch e X-Ray.Recebi reconhecimento interno pela implementação de práticas de DevSecOps em ambientes com dados sensíveis.
EDUCATION
Federal University of Technology - Parana
Especialização em Automação Industrial, Mecatrônica, Robótica e Engenharia de Controle e Automação
Uniceuma
Sistema de Informações, Tecnologia da Informação
UFMA - Universidade Federal do Maranhão
Análise e Projetos de Sistemas, Tecnologia da Informação
IFMA - Instituto Federal do Maranhão
Técnico Eletrotécnica
ABOUT MARCELO CARDOSO
I have over 7 years of experience helping organizations solve challenges through data. I design and build systems that are reliable, high-performing, and scalable. I connect backend systems, data, and cloud to create solutions that make processes more efficient and valuable for the business.• Backend: Building microservices with Java (Spring Boot) and Python, REST APIs, and automation with Docker, Jenkins, and GitHub Actions.• Data Engineering: Development of ETL/ELT pipelines with Apache Spark, Kafka, and AWS Glue. Experience working with Redshift, S3, and data lake architectures.• Databases: Proficient with PostgreSQL, MySQL, Oracle, MongoDB, and DynamoDB.• Cloud Architecture: Designing secure, event-driven solutions using AWS Lambda, SQS, SNS, EventBridge, and Terraform. Strong background in Kubernetes, ECS, IAM, VPC, CloudFormation, and monitoring tools like CloudWatch and DataDog.• DevOps: Expertise in Infrastructure as Code (Terraform, CloudFormation), container orchestration with Docker and Kubernetes, CI/CD automation, and Git-based workflows.• Agile Delivery: Experienced in Scrum and Kanban. I work with teams to deliver projects using Jira and other agile tools.• Leadership: I’ve served as a Tech Lead and Product Owner. I helped align technical teams and stakeholders to deliver high-impact solutions. Led a legacy system migration to AWS that improved system uptime by 40% and reduced maintenance efforts by 30%.I’m dedicated to solving complex technical problems using clean code, resilient architecture, and robust data infrastructure. Let’s connect!Feel free to reach out at m••••••••@gmail.com or here on LinkedIn if you\'d like to collaborate, share insights, or discuss data and cloud opportunities.Skills:Data Engineering, Apache Spark, Apache Kafka, AWS Glue, Data Lakes, ETL, ELT, Amazon Redshift, Amazon S3, SQL, PostgreSQL, DynamoDB, Python, Java, Spring Boot, REST APIs, Terraform, AWS Lambda, Event-Driven Architecture, Kubernetes, Docker, CI/CD, GitHub Actions, Jenkins, CloudFormation, CloudWatch, ECS, IAM, VPC, DataDog, Microservices, Agile, Scrum, Jira
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