Akinade Joe Adeyanju

Led a team of DevOps Engineers, ensuring adherence to best practices and successful completion of tasks related to deployment pipelines and infrastructure management.

Optimized deployment lifecycles and application servers, enhancing performance and stability across critical enterprise systems.

Created and managed AWS cloud infrastructure resources for both Windows and Linux platforms using Terraform and Ansible modules, ensuring robust and scalable environments.

Implemented continuous integration (CI) and continuous deployment (CD) processes using Jenkins, significantly streamlining software delivery.

Designed and implemented CI/CD pipelines within AWS DevOps environments, integrating dependencies and tasks to automate end-to-end delivery with Jenkins and Maven.

Automated diverse infrastructure activities, including continuous deployment using Ansible playbooks, integrated with Jenkins across Azure and AWS cloud environments.

Designed and implemented CI/CD pipelines for Java applications using Maven, automating processes and reducing build times by 30%.

Integrated comprehensive unit, integration, and system testing stages into the build process, significantly improving code quality and application reliability.

Spearheaded the deployment of Java applications to Azure App Services and Azure Kubernetes Service (AKS), achieving higher scalability and 99.9% uptime.

Authored Azure standard practices documentation, establishing benchmarks for cloud operations and governance that enhanced compliance and internal security standards.

Developed a reusable pipeline skeleton, accelerating project setup for new teams and fostering a culture of shared knowledge and efficiency.

Collaborated with cross-functional teams to align development practices with organizational goals, enhancing team agility and overall productivity.

Deployed robust CI/CD systems using Azure DevOps on Kubernetes container environments, leveraging Docker for build, test, and deployment automation.

Engineered RESTful Microservices with AWS Lambda, API Gateway, RDS, and DynamoDB, optimizing backend operations and scalability.

Implemented BlueGreen deployments for ECS applications using Terraform, CodePipeline, CodeBuild, CodeCommit, and CodeDeploy, ensuring zero-downtime releases.

Established comprehensive logging and monitoring subsystems with Elasticsearch, Kibana, Prometheus, Grafana, CloudWatch, and Datadog for enhanced system visibility.

Automated AWS infrastructure provisioning using Terraform Modules and CloudFormation, deploying highly available monitoring solutions with Nagios for Apache Tomcat.

Designed and implemented end-to-end CI/CD pipelines with Jenkins, providing code deployment guides for development, testing, and production management.

Designed and deployed a large-scale enterprise application using Azure services (VMs, DNS, Blob, MySQL, App Service, AD, VNet, Application Gateway), ensuring high availability and fault tolerance with Azure Autoscaling.

Implemented scalable and secure cloud architecture on Azure, optimizing system performance and resilience for dynamic load bursts and rapid development cycles.

Configured new virtual data centers in Azure Cloud, supporting Enterprise data warehouse hosting with Virtual Network, Subnets, Security Groups, and Load Balancer, becoming a key resource for new customer onboarding.

Migrated a core enterprise application from VMs with Elastic Load Balancers to AWS Beanstalk, accelerating deployment and scaling for web applications and services built with PHP, Node.js, Python, and Docker.

Provided 24/7 third-level support, resolving complex infrastructure and application issues to maintain continuous operational excellence.

Migrated legacy applications to AWS and Azure clouds, leveraging DevOps tools including GitHub, Jenkins, Maven, Nexus, JIRA, Docker, and SonarQube.

Operated, maintained, and designed Bandwidth's mission-critical Kubernetes ecosystem and ancillary components, ensuring high availability and performance.

Designed and implemented scalable Docker containerization and Kubernetes orchestration solutions, enhancing application deployment and management.

Automated build and deployment processes for Python applications using Jenkins, integrating necessary plugins and slave configurations for scalability.

Developed comprehensive scripts for build, deployment, and maintenance tasks using Jenkins, Maven, and Groovy, streamlining operational workflows.

Implemented robust monitoring solutions with Ansible, Terraform, Docker, and Jenkins, and crafted Terraform scripts from scratch for Dev, Staging, Prod, and DR environments.

Established quality gates within the SonarQube dashboard, enforcing build failures when conditions were not met to maintain code quality in CI/CD pipelines.

Implemented DevOps transformation strategies within an Agile team, significantly improving development and operational workflows.

Developed Azure Infrastructure as Code templates using Terraform for staging and production environments, integrating Azure Log Analytics for VM monitoring and metric tracking.

Managed diverse infrastructure resources, including cloud services and Docker containers, ensuring optimal performance and resource utilization.

Configured and utilized Kubernetes for CI/CD runtime environments, enabling efficient testing and deployment of applications.

Established nightly builds with SonarQube integration, creating quality gates in the SonarQube dashboard to enforce code quality standards and prevent faulty builds.

Developed comprehensive scripts for build, deployment, and maintenance tasks using Jenkins, Maven, and Groovy, streamlining development processes.

Compiled and organized extensive healthcare data, ensuring accuracy and accessibility for critical operational and clinical uses.

Gathered and integrated data from disparate sources, creating unified datasets for comprehensive analysis and reporting.

Developed data models and analytical frameworks to unearth trends and patterns, providing actionable insights for strategic planning.

Collected, stored, retrieved, and presented data to support clinical and business decision-making, enhancing organizational effectiveness.

Executed data mining and preparation to provide valuable information for internal and external stakeholders, facilitating informed decisions.

Analyzed data findings and communicated insights to management, ensuring optimal healthcare delivery and operational improvements.