Swaraj Dhondge
Development
NC, United States
Skills
Cloud Computing
About
Swaraj Dhondge's skills align with Programmers (Information and Communication Technology). Swaraj also has skills associated with Consultants and Specialists (Information and Communication Technology). Swaraj Dhondge appears to be a low-to-mid level candidate, with 4 years of experience.
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Work Experience
DevOps Engineer
Amdocs Ltd
September 2020 - August 2022
- Spearheaded the design and implementation of CI/CD pipelines using Kubernetes, Open Shift, Docker, and Oracle WebLogic, resulting in a 40% reduction in deployment time and boosting team productivity. Deployed monitoring solutions like ELK Stack & Prometheus/Grafana for advanced issue detection, cutting downtime by 25%. Established a centralized artifact repository through Sonatype Nexus, improving build success rate by 20%. Automated 200+ processes using Bash/Python scripts and Jenkins, reducing the error rate by 40% and optimizing the workflow. Employed Tivoli Maestro for script scheduling automation, reducing manual interventions by 50%. Collaborated with operations teams for precise execution and monitoring using the Amdocs Control system. Leveraged the power of Jira to meticulously plan, track, provide support for, and efficiently close out requests, tickets, and incidents. Optimized CI/CD workflows by setting up staging and production environments with Jenkins and other CI/CD tools, ensuring smooth and efficient deployment processes. Oversaw the continuous integration process, ensuring accurate build execution and resolution of failures using JIRA as a tracking and workflow tool. Containerized applications using Docker and Kubernetes, enabling efficient application deployment, management, and orchestration. Deployments were executed in scalable and resilient environments, ensuring optimal performance and high availability.
Cloud Engineer
Trigent
July 2019 - August 2020
- Assisted in the setup and configuration of AWS services, including EC2 instances, S3 Buckets, and CloudWatch, under supervision, to optimize resource allocation and ensure system availability. Aided in the implementation of AWS Lambda functions for basic serverless computing tasks, contributing to process automation, and reduced operational overhead. Supported the configuration of AWS Security Groups and Network Access Control Lists (NACLs) to enforce basic network security policies and control traffic flow to EC2 instances. Learned to manage Jenkins jobs and pipelines, supporting the automation of build, test, and deployment processes for cloud-based applications. Gained understanding of Jenkins plugins and their usage, contributing to extending Jenkins' base functionality for deploying, integrating tests, and generating reports. Learned to utilize AWS Relational Database Service (RDS) and Amazon Dynamo DB for basic database needs, ensuring data reliability and high availability. Contributed to the integration of AWS Lambda with other AWS services, learning to leverage Lambda for event-driven architectures and real-time data processing. Gained understanding of AWS Lambda pricing and cost optimization strategies, learned to design Lambda functions for cost efficiency and scalability. Learned to develop and maintain basic Linux and Bash scripts to automate routine tasks, under supervision, enhancing operational efficiency and reducing manual intervention. Supported the management of various AWS services, with guidance, focusing on optimizing EC2 instances and S3 Buckets, contributing to improved resource allocation and system performance. Participated in the creation of Docker Images and basic deployments into containers, supporting the streamlining of the deployment process and improving overall deployment efficiency. Aided in the implementation of basic performance monitoring alarms using CloudWatch, contributing to proactive monitoring and alerting for potential issues, ensuring system reliability and availability. Spearheaded a seamless transition of 13 virtual machines (VMs) from VirtualBox to AWS through a meticulously planned lift-and-shift process, further optimizing the application migration service.
DevOps Engineer
McKinsey & Company
August 2023 - Present
- Implemented and enhanced CI/CD pipelines using Jenkins, GitLab and Kubernetes, reducing build time by 30% and deployment time by 40%. This enabled faster delivery of new features and bug fixes. Orchestrated the modernization of these applications, leveraging serverless solutions such as Lambda and Elastic Beanstalk, ushering in greater scalability and operational efficiency. Monitored and optimized AWS Lambda functions for auto-scaling applications, ensuring efficient resource use and cost-effective cloud operations. Engineered robust three-tier Architectures with a meticulously chosen arsenal of AWS services, including EC2 instances, load balancers, Route 53 for DNS management, and RDS for efficient relational database management. Assumed a pivotal role in overseeing and fine-tuning Elastic Kubernetes Service (EKS) clusters. This encompassed the full spectrum of container and application management, from seamless deployment to dynamic scaling and vigilant monitoring. Demonstrated adeptness in configuring Virtual Private Cloud (VPC) peering solutions, proficiently establishing bastion host connections, and enabling VPC flow logs for meticulous monitoring of VPC activities. Additionally, proficiently managed IAM users and Groups in alignment with AWS best practices. Orchestrated VPC setup, configured security groups, IAM roles, Elastic IPs, and CloudTrail/CloudWatch for distinct zones across various environments, enhancing system security and achieving a 20% decrease in security incidents. Utilized core AWS services such as EC2, S3, EBS volumes, Elastic Load Balancers (ELB), Lambda, and Auto Scaling to deploy resilient and scalable applications, resulting in a 35% increase in application availability. Implemented infrastructure as code (IaaC) practices using tools like Terraform, enabling version-controlled and automated provisioning of infrastructure resources. Enhanced security at the granular level of S3 buckets by meticulously crafting and implementing bucket policies, object lock mechanisms, versioning strategies, and comprehensive access control through CloudFront and Origin Access Identity (OAI). Demonstrated expertise in system administration tasks using Bash scripting, including user account management, network configuration, and troubleshooting. Effectively resolved issues and maintained system stability. Safeguarded data integrity and recoverability by implementing robust mechanisms, including systems snapshots, Amazon Machine Images (AMIs), RDS Replicas, and a systematic application-level backup strategy to Amazon S3.
Education
University of North Carolina at Charlotte
Master of Science in Computer Science
August 2022 - December 2023
