Shinoj Odandiyil

Innovative Cloud and DevOps Architect recognized for driving high productivity and efficient task completion. Expert in cloud adoption, cloud-native development, serverless architectures, and containerization. Specialize in Infrastructure as Code (IaC), governance models, and deployment designs. Skilled in problem-solving, strategic planning, and communication, ensuring seamless project execution and exceptional stakeholder satisfaction.

• AWS Certified Solution Architect - Associate
• Azure AZ-303 Microsoft Azure Architect Technologies
• HP Certified System Engineer

AWS Migration & Application Modernization Gen AI Use Case Implementation AWS Migration Container Orchestration CI/CD Pipeline Integration

Role: Solution Architect
Objective: Migrate on-premises applications to cloud-native environments, focusing on development, deployment, and operations.
Solution:

• Designed target infrastructure and streamlined enterprise application lifecycle management.
• Established governance frameworks for secure, consistent multi-account infrastructure.
• Architected DevOps frameworks with CI/CD pipelines for automated provisioning and deployments.
• Built AWS Landing Zone adhering to Well-Architected Framework with IaC practices.
• Deployed containerized environments using AWS EKS, ECR, and developer tools.
• Defined cloud-native architecture for microservices, serverless, and containerized workloads.
• Standardized observability using Prometheus, Grafana, and CloudWatch.
• Migrated legacy workloads to cloud-native platforms with minimal downtime.
• Integrated automation with version control and testing frameworks for seamless delivery.
• Embedded security and cost-optimization in infrastructure lifecycles.

Role: Solution Architect
Objective: Migrate virtual infrastructure to AWS and enable AI-driven deployment guide generation.
Solution:

• Developed a Gen AI tool with AWS Titan Foundation Model for chat-based SOP deployment guides.
• Integrated Pinecone for efficient SOP data storage and retrieval.
• Built interactive conversational AI for tailored project responses.
• Automated deployment guide creation, reducing manual effort and enhancing consistency.
• Designed workflows for multi-project support across environments.
• Ensured scalability, reliability, and continuous learning mechanisms for AI refinement.

Role: Solution Architect
Objective: Migrate virtual infrastructure from on-premises to AWS.
Solution:

• Set up Landing Zone with AWS Control Tower and account vending automation.
• Architected network infrastructure with VPNs, SD-WAN, and backup solutions.
• Migrated services to managed/SaaS offerings for scalability and cost optimization.
• Used AWS MGN, DMS, DataSync, and Import/Export for seamless data migration.
• Integrated IAM with Active Directory for centralized access management.
• Deployed centralized logging, monitoring, and key management with KMS.
• Implemented Security Hub, GuardDuty, and SCPs for compliance and threat detection.

Role: Solution Architect
Objective: Optimize container deployments on AWS ECS with controlled releases via AWS CodePipeline.
Solution:

• Designed ECS clusters/services for scalability and high availability.
• Implemented horizontal scaling with EC2 Auto Scaling and container-specific strategies.
• Configured ALBs/NLBs for fault tolerance and API traffic routing.
• Automated Docker deployments via AWS CodePipeline with ECS as the target.
• Documented implementation, scaling, and troubleshooting procedures.

Role: DevOps Engineer
Objective: Automate the client release process for serverless Lambda applications.
Solution:

• Triggered AWS CodePipeline on repository commits.
• Used CodeBuild for builds, storing artifacts in S3.
• Automated stack creation with CodeDeploy and CloudFormation.
• Deployed Lambda applications via CodeDeploy execution stage.