ANNIE DJATSA

Experienced DevOps engineer with extensive understanding of high availability architecture, infrastructure design, and application deployment. Complex problem-solver with a critical thinking and analytical mindset, driven to achieve demanding development objectives according to tight schedules while producing impeccable code. Proven ability to work effectively both independently and as part of a team, leveraging over 5 + years of experience in using source control tools to identify and resolve code issues. Versatile professional with a strong background in designing, testing, and implementing infrastructure and applications, dedicated to maintaining high standards of performance and security.

Kubernetes-Based Microservices Platform

• Orchestrated the migration of legacy applications to a Kubernetes-based microservices platform, enhancing scalability and deployment efficiency. Reduced deployment times by 40% and lowered operational costs by 20% through effective resource management.

Automated Security and Compliance Pipeline

• Developed an automated security and compliance pipeline, ensuring adherence to industry standards. Successfully reduced security vulnerabilities by 50% and integrated real-time compliance checks into the CI/CD process.

Multi-Region AWS Infrastructure Deployment

• Led the architecture and deployment of a multi-region AWS infrastructure, improving availability and disaster recovery capabilities. Achieved a 30% reduction in latency and 99.99% uptime through cross-region replication and auto-scaling strategies.

• CKA (Certified Kubernetes Administrator), 2023-01-01, Present
• DeepLearning.AI, 2024-01-01, Present