Machine Learning and Data Science with Python Hired to deploy DevOps culture all possible automation of Arizona systems legacy. Automotive Innovation with Ansible, Docker for new versions in development Deploying new migration from Jenkins to GitLab CI / CD Using AWS SDK with Python and NodeJS to ensure reporting and delivery of services to large clients Cloud AWS and Oracle

​Allocated in projects, an average of 6 months, I currently work on a project in the RedeCard (Itau) client as DevOps and methodologies with SCRUM specifically. The following tasks and tools are developed: Infrastructure management, code deployment, automation of software launch processes and performance monitoring and infrastructure. CloudFormation, Puppet, Git, CloudWatch, Jenkins, Travis CI, GitLab, SCRUM, Kanban, Trello, Jira, GOCD, Artifactory are great examples of working with automation projects. Acting with several products at AWS.

Allocated in projects, an average of 6 months, I currently work on a project in the RedeCard (Itau) client as DevOps and methodologies with SCRUM specifically. The following tasks and tools are developed:

Infrastructure management, code deployment, automation of software launch processes and performance monitoring and infrastructure. CloudFormation, Puppet, Git, CloudWatch, Jenkins, Travis CI, GitLab, SCRUM, Kanban, Trello, Jira, GOCD, Artifactory are great examples of working with automation projects. Acting with several products at AWS.

Automation deployed with Axway products - Cassandra, Api-Gateway, Api-Management, among others.

Server Administration Windows Server 2012, Centos 7 deployed AWS and locally. Implementing monitoring tools and creates and documents alarms based on vital signs collections and business rules. Ensuring that all configuration items (eg, Hardware, Software, OS, and DB) that need to be managed in order to deliver an IT service, are documented according to procedures / standards / processes, promote documentation creation, and participate the transfer / transfer of knowledge to the other teams of the company, being a solver of incidents and problems in production and assisting the other teams in the investigation and solution. AWS Technologies: VPC, EC2, ELB, SNS, SES, RDS, CloudFront, CloudFormation, Auto Scaling, IAM, S3, Route53 and CloudWatch, Load Balancing, DNS, Infrastructure performance: S.O. CentOS and Red-Hat, Myqsl, Redis, Nginx, FTP Server.