Mohammed Uddin Email & Phone Number

United States

Played a pivotal role in managing AWS cloud services and implementing robust CI/CD pipelines.Managed a suite of AWS cloud services, including EC2 for virtual servers, S3 for scalable object storage, EBS for block storage, ELB for load balancing, CloudWatch for monitoring, IAM for access management, and VPC for network isolation. This comprehensive management ensured high availability and fault tolerance of the infrastructure.Implemented a streamlined Continuous Integration/Continuous Deployment (CI/CD) pipeline using Jenkins, Docker, and Maven. This initiative enhanced the development and deployment processes, ensuring efficiency and reliability in the software delivery lifecycle.Developed and documented automated build and release processes for J2EE and Web Methods applications. This involved creating robust workflows to automate the compilation, testing, and deployment of applications, resulting in faster and more consistent releases.Utilized Docker for containerization and Kubernetes for container orchestration. This approach improved scalability, portability, and ease of management for applications within a containerized environment.

Hyderabad, Telangana, India

I have been at the forefront of designing and implementing a robust and scalable cloud infrastructure to support the organization's Enterprise Data Warehouse hosting needs.played a pivotal role in building and configuring a virtual data center in AWS, encompassing essential components such as Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, and Elastic Load Balancer. This infrastructure forms the backbone of our data hosting capabilities.Experienced in cross-functional teams to develop and implement Python-based DevOps solutions.Employed AWS SDK to optimize the performance and scalability of serverless applications. This involved fine-tuning configurations, optimizing resource allocation, and implementing best practices to ensure peak performance under varying workloads, resulting in an 85% improvement in application response time.Developing and consuming RESTful APIs and microservices using Python frameworks like Flask and Django.Integrated AWS SDK seamlessly into the development workflow, ensuring smooth and efficient deployment of serverless applications. By leveraging AWS SDK, streamlined processes were established, resulting in enhanced productivity and agility, with a 95% reduction in deployment time.