Anderson is an AWS Certified Senior DevOps Engineer with 10+ years of experience managing cloud-based platforms and performing system administration, specializing in Azure and AWS architecture. He has a passion for open-source systems, new technologies, and working with data infrastructure systems like Databricks, Spark, Hadoop, Airflow. With a solid background in infrastructure performance, Anderson ensures positive communication with developers, engineers, project managers, and executives.
Delivering CI/CD as part of an Agile team to improve performance by automating and streamlining operations and processes.
Helping build and improve infrastructure, application, and performance development and ensuring tight security including data encryption, security groups, and environmental scanning.
Ensuring high-quality deliverables and implementing DevOps and security best practices in fast-paced environments.
Setting up AWS organizations and CI/CD pipelines using GitHub Actions.
Worked on Docker Build Optimization using BuildKit and Remote Builder and improved the creation and usage of Preview Environment.
Created and maintained Python tasks using Invoke Lib, migrated from EC2/Docker self-hosted to EKS, and created Helm charts and customizations.
Used Datadog and Sentry for monitoring, implemented Cypress dashboard and parallelization, created IaC using Terraform and AWS CDK, and implemented GitOps using Flux CD.
Managed Docker, Kubernetes environment, CloudFront CDN, and global Load Balancer for the Dynasty Sports & Entertainment project, creating CI/CD pipelines with Azure DevOps, TFS, and Octopus.
Implemented IaC With Terraform, Packer, and Ansible and managed Azure Cloud resources and best practices.
Created multiple Serverless applications to help infrastructure management (Azure Functions) and assisted the Data Team with Snowflake Data Warehouse Integration.
Azure offers a centralized platform for assessing and migrating to Azure on-premise servers, infrastructure, applications, and data.
The migration process utilizes Terraform modules, Ansible roles, Pipeline as Code, and automated deployment to transfer data from an on-premise data center to Azure without cloning or copying VMs.
Traffic was successfully switched to the new data center for validation of applications.