Professional Cloud DevOps Architect. Certified AWS and GPC Professional engineering leader for the design and implementation of enterprise applications, responsible for building platforms and frameworks to create consistent, verifiable, and automatic management of application and infrastructure between non-production and production environments. Leadership mindset, solid operational experience, problem-solver. Ultimately, a toptech DevOps Architect with exceptional communication skills, with knowledge about the latest industry trends, and highly innovative. With over 8 years of DevOps experience and 23+ years of IT experience

- Maintenance and keep updated AWS core Services based on Well Architected Framework Pillars- Architected Migration from on-prem and Limelight CDN to AWS CloudFront Distributions with Multi-Region HA- Architected and Execution of Migration from Rackspace Cloud to AWS cloud provider 58 legacy production Apps- Developed Better Dashboards In New Relic using notification, and alerts policies for critical services.- Supported On- Call rotation for Marvel Projects and National Geographic pipelines - Leading DevOps Marvel Team with 5 people and provide KT monthly for gaps on different Technologies used in Disney.- Supported Development dockerization of old and legacy apps, with creation of 25 new pipelines automated on Gitlab

➢Created automation solutions that can be adopted by teams of development and operations.➢Ensured the good performance of the platform in terms of resources of the infrastructure.➢Implemented monitoring systems for the entire infrastructure of the platform that alert the communication channels established by the team.➢Supported and improvements to the infrastructure of: CI/CD, databases, cloud services, containers orchestration, monitoring, etc, together with the development team.➢Meeted the needs of developers to facilitate the infrastructure configuration and support them as specialist technician in configuration, optimization, update and other problems.➢Automated the creation of infrastructure and that it scales automatically and adequately to support the month-to-month growth of messages that the platform manages.➢Responsible for the stability of the infrastructure and its uptime.➢Developed and improvement of the best internal tools automation.

- AutoML kubernetes deployment for production pipelines with Kubeflow + H20.ai - Automation of Notifications and monitoring Machine Learning Instances and Clusters - 50% cost reduction on AWS cloud provider using best practices - Developed Better Dashboards on Datadog using notification, and alerts policies for critical services - Implemented flagger canary releases with Argo CD for zero downtime on each release. - Implemented IaC in agnostic way with Ansible, Terraform Cloud and Packer

- - Successfully delivered on 3 testing projects, meeting all project requirements and achieving zero schedule and cost variance - Implemented business solutions for 4 releases- Worked in teams as big as 20 people - Built autonomous processes that reduced project cycle time by 50% - Worked closely with with product manager & back-end lead to launch the application within the span of 6 months - Reduced infrastructure costs by more than 20% by revamping deployments and auto scaling process - Developed 200 ansible playbooks for all infrastructure management. - Successfully implemented DevOps LifeCycle and Culture with 3 financial clients