Sai T Email & Phone Number

Cincinnati, Oh, Us

San Jose, California, United States

• Spearheaded DevOps initiatives, implementing serverless architecture, and maintaining CI/CD tools and AWS Cloud infrastructure. • Executed Lambda functions for event-driven automation in DynamoDB, S3, and HTTP requests via AWS API Gateway, improving operational efficiency by 30%. • Created Python scripts automating AWS services including web servers, ELB, CloudFront, and EC2 instances, reducing deployment time. • Created Ansible playbooks for streamlined deployment on… Show more • Spearheaded DevOps initiatives, implementing serverless architecture, and maintaining CI/CD tools and AWS Cloud infrastructure. • Executed Lambda functions for event-driven automation in DynamoDB, S3, and HTTP requests via AWS API Gateway, improving operational efficiency by 30%. • Created Python scripts automating AWS services including web servers, ELB, CloudFront, and EC2 instances, reducing deployment time. • Created Ansible playbooks for streamlined deployment on Windows and Linux servers, enhancing code reusability and readability by 50%. • Supervised container-based deployments using Docker images and registries, ensuring seamless transition between development and production environments. • Formulated Kubernetes deployments, namespaces, pods, and services in YAML, optimizing resource allocation and scalability. • Orchestrated CI/CD pipelines using Jenkins, Python, and Shell scripts, automating routine tasks and reducing manual intervention by 40%. • Leveraged Ansible and Ansible Tower for configuration management, enabling rapid deployment and management of changes in AWS environment. • worked closely on terraform modules with version conflicts to use cloud formation for terraform deployments, enabling additional control or filling in functionality gaps. • Conducted training sessions on AWS best practices and Terraform usage, enhancing team's technical capabilities and efficiency. • Deploying SonarQube servers using containerized techniques, providing quality gates, and managing users and user groups. Show less

South Carolina, United States

• Conceived applications leveraging AWS services such as EC2, S3, RDS, VPC, IAM, ELB, CloudWatch, Route 53, Lambda, and CloudFormation, achieving a fault-tolerant environment.• Setup and built AWS infrastructure using CloudFormation JSON templates, including VPC, EC2, RDB, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS, and RDS.• Configured Elastic Load Balancers with EC2 Auto Scaling groups and realized monitoring, alarms, and notifications using CloudWatch.• Mechanized AWS… Show more • Conceived applications leveraging AWS services such as EC2, S3, RDS, VPC, IAM, ELB, CloudWatch, Route 53, Lambda, and CloudFormation, achieving a fault-tolerant environment.• Setup and built AWS infrastructure using CloudFormation JSON templates, including VPC, EC2, RDB, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS, and RDS.• Configured Elastic Load Balancers with EC2 Auto Scaling groups and realized monitoring, alarms, and notifications using CloudWatch.• Mechanized AWS services using Python and wrote scripts for web servers, ELB, CloudFront, database, EC2, and S3bucket, reducing manual efforts by 50%.• Exercised ELK architecture and Logstash for log management and analysis, enhancing system performance and troubleshooting capabilities.• Applied CI/CD systems with Jenkins, TFS, and Maven scripts, facilitating seamless deployment across environments and falling arrangement time by 40%.• Converted existing AWS infrastructure to serverless architecture using AWS Lambda and Kinesis deployed via Terraform and AWS CloudFormation.• Planned Docker container orchestration using Kubernetes, managing pods, Config Maps, and deployments for containerized applications.• Administrated Windows servers, including configuration and troubleshooting of Active Directory, DNS, DHCP, NFS, SAMBA, and IIS.• Installed and configured Nagios for monitoring disk usage, CPU utilization, and other system metrics, enabling issue identification and resolution. Show less

Palo Alto, California, United States

• Enacted Private and Hybrid cloud configurations, enhancing flexibility and scalability, resulting in a 25% reduction in infrastructure costs.• Installed SQL Server Integration Services (SSIS) to streamline data import processes, improving data retrieval efficiency.• Administered AWS infrastructure, including S3 buckets and Glacier for storage and backup, achieving a 20% reduction in storage costs.• Orchestrated Docker container clusters by Kubernetes, enhancing source division and… Show more • Enacted Private and Hybrid cloud configurations, enhancing flexibility and scalability, resulting in a 25% reduction in infrastructure costs.• Installed SQL Server Integration Services (SSIS) to streamline data import processes, improving data retrieval efficiency.• Administered AWS infrastructure, including S3 buckets and Glacier for storage and backup, achieving a 20% reduction in storage costs.• Orchestrated Docker container clusters by Kubernetes, enhancing source division and improving application scalability.• Engineered Azure DevOps Pipeline for managing weekly Build, Test, and Deploy processes, falling placement time.• Systematized deployment to Apache Tomcat Application Servers using Rabbit MQ, resulting decrease in manual intervention.• Configured Role Based Access Control (RBAC) for Azure Resources, enhancing security and compliance measures by 30%.• Instituted Micro-services using Private Cloud Foundry (PCF) platform, improving application deployment efficiency.• Directed servers on Microsoft Azure Platform Virtual Machines instances using Puppet Configuration Management, reducing configuration errors by 25%. Show less

Norwalk, Connecticut, United States

• Installed and Configured Jenkins to automate deployment processes, resulting in a 40% reduction in deployment time.• Enforced builds across environments including QA, Integration, and Production, ensuring seamless application delivery.• Set up UNIX/Linux environments for applications, enhancing application stability and performance.• Delivered daily support on Jenkins pipeline issues, resolving build, test, and deployment issues promptly to minimize downtime.• Robotized cloud… Show more • Installed and Configured Jenkins to automate deployment processes, resulting in a 40% reduction in deployment time.• Enforced builds across environments including QA, Integration, and Production, ensuring seamless application delivery.• Set up UNIX/Linux environments for applications, enhancing application stability and performance.• Delivered daily support on Jenkins pipeline issues, resolving build, test, and deployment issues promptly to minimize downtime.• Robotized cloud deployments using Ansible, Python, and AWS CloudFormation Templates, increasing deployment efficiency by 50%.• Executed Continuous Deployment pipeline with Docker, Jenkins, and GIT, streamlining the deployment process and dropping manual interference.• Harnessed Maven scripts for building and deploying processes, optimizing build and deployment speed by 30%.• Developed Restful API to provide JSON responses, enhancing application usability and user experience.• Collaborated with cross-functional teams for defect tracking and fixing using JIRA, ensuring timely resolution of issues. Show less

Hyderabad, Telangana, India

• Coordinated AWS cloud services including provisioning instances, S3 Storage, and CloudWatch, optimizing infrastructure for scalability and cost-effectiveness.• Evolved Amazon RedShift for data warehousing, analyzing data with SQL and business intelligence tools, improving data analysis efficiency by 50%.• Enforced data binding with NodeJS for frontend development, enhancing user interface responsiveness.• Maintained IAM Roles, Route 53, VPC, RDB, MongoDB, SQS, and SNS services in… Show more • Coordinated AWS cloud services including provisioning instances, S3 Storage, and CloudWatch, optimizing infrastructure for scalability and cost-effectiveness.• Evolved Amazon RedShift for data warehousing, analyzing data with SQL and business intelligence tools, improving data analysis efficiency by 50%.• Enforced data binding with NodeJS for frontend development, enhancing user interface responsiveness.• Maintained IAM Roles, Route 53, VPC, RDB, MongoDB, SQS, and SNS services in AWS cloud, ensuring smooth operation of services.• Launched manifold instances of Apache Tomcat and test applications in QA environment, ensuring constancy and presentation.• Automated build and deployment using Ant and Hudson/Jenkins, streamlining the development process by 30%.• Integrated Ant and Maven with Jenkins to automate build processes, ensuring consistency and reliability of builds.• Formulated Docker containers and consoles for managing application lifecycle, increasing deployment flexibility and efficiency by 40%. Show less