Vinodhini R.

Glibware Soft Solutions AWS DevOps Engineer November 2020-Present Responsibilities: • Developed a Three-tier architecture on AWS utilizing services such as EC2, S3, EFS, IAM, Load Balancer, Auto Scaling, VPC, Route 53, CloudFront, ECS, Lambda, CloudWatch, SQS and RDS. • Created S3 buckets and S3 life cycle management for old data and logs. Also adding EBS and EFS whenever required. • Expertise in implementing VPC peering and NAT Gateway solutions to support application servers hosted within private subnets. • Developed Terraform scripts for implementing cloud infrastructure, automated build workflows through Terraform, and possess knowledge of CloudFormation. • Significant Experience with Version Control System such as Git, administrating source code management by GitHub repository and Created branches, tags and handled merge conflict using Git merge tool. • Good knowledge on managing and integrating code Quality tools like SonarQube, manage sonar rules, Quality gates. • Good Experience in Operating systems like Windows & Linux commands. • I have successfully containerized applications, optimized Docker files, and managed container lifecycles for development, testing, and production environments. • Proficient in building Docker images, using Docker Compose for multi-container applications, and integrating containers with CI/CD pipelines for efficient deployment and scaling. • Experienced in leveraging Docker Swarm and Kubernetes for orchestration and management of containerized services. • Experienced in designing, implementing, and managing Infrastructure as Code (IaC) with Terraform for provisioning and automating cloud resources across AWS. Skilled in writing reusable Terraform modules, managing state files, and implementing best practices for scalability, security, and cost optimization. • Skilled in integrating Terraform with Continuous Integration and Continuous Deployment pipelines to automate infrastructure provisioning and management as part of the deployment process. Experienced in using tools like Jenkins, and GitHub Actions to trigger Terraform runs for consistent, repeatable infrastructure deployments, ensuring alignment between application and infrastructure changes. • Experienced in utilizing Terraform for infrastructure automation and management, with expertise in working with multiple.tfvars files for environment-specific configurations and managing auto.tfvars for automatic variable loading. • Proficient in defining lists, maps, and files for dynamic resource configurations and ensuring secure infrastructure management through Terraform Vault integration for handling secrets. • Skilled in using locals for optimizing variable definitions and outputs for exposing valuable data post-deployment. • Experienced in configuring and managing Kubernetes taints and tolerations to control pod scheduling, ensuring optimal workload distribution and cluster resource utilization. • Experienced in developing, managing, and deploying Kubernetes applications using Helm charts, enabling efficient configuration management, versioning, and automated deployments across environments. • Experienced in configuring and managing Kubernetes liveness, readiness, and startup probes to ensure application health monitoring, automatic recovery, and optimized traffic routing within clusters. • Experienced in implementing and managing Argo CD for Kubernetes, enabling GitOps-driven continuous deployment, automated rollbacks, and seamless application synchronization across multiple environments. • Experienced in configuring and managing Kubernetes Ingress to efficiently route external traffic to services, leveraging Ingress controllers (NGINX, AWS ALB) for secure and scalable application access. DATA ANALYST September 2018-October 2020 Responsibilities and Achievements • Prepared data from different data sources such as SQL Server, CSV/TXT, Power BI Datasets and so on. • Familiarity with databases such as MSSQL, MySQL. • Performed various transformations on the prepared queries in Power Query Editor using M Code. • Created Date table in Power BI with DAX while modeling the tables for sales report and using Fact Dimension table, with Star schema. • Design and develop new analytical approaches and products in Agile methodologies. • Created three-page sales report using slicers and filters in Power BI Desktop and created Sales Monitoring Dashboard in Power BI Service. • Written SQL queries for joining more than 2 tables using group by, order by and so on. • Establish KPIs and metrics to monitor and drive performance, track progress, and assist with decision making. • Analyzed core components on descriptive, diagnostic, predictive, prescriptive and cognitive categories. • Building strong and collaboration work with stakeholders to understand their requirements and provide actionable insights for strategic planning, operational improvements and business growth.