Nandini Chamarathi
DevOps/Cloud Engineer
ad7n3q@r.postjobfree.com
PROFILE SUMMARY
Devops/Cloud Engineer with over 4 years of proven expertise in designing, implementing, and maintaining robust cloud infrastructure solutions across multiple environments including public, private and hybrid clouds, Proficient in various cloud platforms such as AWS, Azure and Google Cloud Platform, with a track record of successfully architecting scalable and highly available cloud-native applications.
Leveraged expertise in Java, Python, Go, and NodeJS to develop and optimize high-performance, scalable applications, leading to a 30% increase in system efficiency and a 25% reduction in response time.
Experienced in automation tools and frameworks, including CI/CD pipelines with Maven and Jenkins.
Proficient in using Git, Jenkins, BitBucket, GitHub and Ant for version control and DevOps pipelines.
Familiar with application observability standards and tools, including OTel and Grafana.
Proficient in cloud platforms such as AWS, Azure, GCP, and container orchestration tools like Kubernetes and Docker.
Proficient in database solutions including Oracle, MySQL, MSSQL, CloudSQL, and NoSQL, enabling effective data management across various platforms.
Proficient in implementing and managing a diverse range of monitoring and logging solutions, including Prometheus, Grafana, ELK Stack, Nagios, Splunk, and CloudWatch, to ensure comprehensive visibility into system performance and reliability within complex IT environments.
Hands-on experience with APIs and microservices, encompassing REST, Web, and GraphQL protocols, facilitating efficient communication and scalability within distributed systems.
Experience with monitoring tools such as Application Insights, Prometheus, and Datadog, ensuring comprehensive visibility into system performance and reliability.
Experienced with open-source tools like RabbitMQ, Redis, and Kafka, contributing to efficient message queuing, caching, and distributed streaming capabilities within systems.
Experienced with Azure Platform as a Service (PaaS) offerings, including Azure Kubernetes Service (AKS), Azure Synapse, Databricks, Azure SQL, and Web Application Firewall, facilitating scalable and efficient cloud-based solutions.
Collaborated with developers and Data Scientists to implement DevOps and configuration management best practices, ensuring streamlined deployment processes and enhanced system reliability.
Possess a strong background in Linux/Unix Administration, ensuring robust system performance, security, and reliability across diverse environments.
Possess extensive working experience in an Agile environment, contributing to iterative development cycles, cross-functional collaboration, and rapid delivery of high-quality software solutions.
Capable of effectively managing time, multitasking, and maintaining meticulous attention to detail even under pressure, ensuring efficient completion of tasks and projects.
Proficient in reviewing, identifying, and managing requirements for moderate to complex solutions, conducting thorough cost-value, feasibility, and risk analyses to ensure optimal decision-making and successful project outcomes.
Proficient in troubleshooting production issues and coordinating with development teams to streamline code deployment processes, ensuring swift resolution of issues and minimal disruption to operations.
Proficient in developing, maintaining, and optimizing observability setups, including monitoring, logging, and tracing, to ensure systems' high availability, scalability, and security.
Experienced in architecting cloud solutions and enhancing existing systems to optimize performance and scalability.
TECHNICAL SKILLS:
Cloud Platforms:
AWS(VPC, IAM, EC2, ALB, ECS/EKS), Azure(AKS, Synapse, Databricks, SQL, Web Application Firewall), Google Cloud
Operating Systems:
Unix, Linux, Windows
Configuration Management:
Ansible, Puppet, Chef
Open-Source tools:
RabitMQ, Redis, Kafka
Version Control:
Git, GitHub, Bitbucket
Networking:
TCP/IP stack, SMTP, DNS, LDAP,NTP,HTTP
CI/CD Tools:
Jenkins, GitLab CI/CD, CircleCI, Travis CI
Containerization:
Docker, Kubernetes, Docker Swarm
Infrastructure as Code:
Terraform, CloudFormation
Monitoring & Logging:
Prometheus, Grafana, ELK Stack, Nagios, Splunk, CloudWatch
SDLC:
Agile, Scrum
Scripting & Automation:
Bash, Python, PowerShell
Databases:
Oracle, MongoDB, SQL Server, MS SQL, NOSQL
Automation Tools and Frameworks:
Git, Maven/Gradle, Jenkins/TeamCity, Docker, Terraform, Puppet, Chef, Ansible
Operating Systems
UNIX, Linux (Ubuntu, Debian, RHEL, Centos), Windows
PROFESSIONAL EXPERIENCE
Client: UnitedHealth Group, Texas, USA May 2023– Present
Role: DevOps/Cloud Engineer
Responsibilities:
Implemented and managed automation/configuration management tools such as Terraform, Puppet, Chef, and Ansible to streamline infrastructure provisioning and configuration processes, ensuring consistency and scalability across environments.
Implemented npm, a Package Management Tool, to optimize software development workflows and ensure efficient dependency management within the project environment.
Utilized AWS services and components including VPC, IAM, EC2, ALB, and ECS/EKS to architect and deploy scalable infrastructure solutions, resulting in a 20% reduction in deployment time and a 15% increase in system reliability.
Implemented strategies to ensure the continuous availability, security, integrity, and recovery of data, pipelines, and data stores.
Led Agile and Scrum methodologies throughout the Software Development Life Cycle (SDLC), driving iterative development cycles, fostering collaboration, and delivering high-quality products on time and within budget.
Implemented and configured monitoring and alerting systems such as Datadog, OpenTelemetry, NewRelic, and Prometheus to track service-level indicators (SLIs) and ensure timely incident response.
Researched, developed, and maintained infrastructure services, including load balancers, databases, and secrets management. Effectively managed IaaS cloud resources and hosted solutions across development, staging, and production environments, resulting in improved system performance and reliability.
Implemented security best practices and compliance measures to ensure secure and compliant infrastructure and applications.
Collaborated with development teams to successfully deploy and efficiently manage applications within the Azure environment, resulting in improved deployment time and streamlined application management processes.
Conducted performance tuning and optimization of applications and infrastructure, resulting in a 20% increase in overall system performance.
Created and maintained dashboards and reports to visualize database performance and health, resulting in a 20% improvement in system monitoring accuracy and timely issue resolution.
Implemented DevSecOps practices, integrating static code analysis, vulnerability scanning, secrets management, and configuration management to enhance application security, resulting in strengthened defenses against cyber threats.
Client: Wells Fargo, Hyderabad, India Apr 2020 – Dec 2021
Role: Cloud/DevOps Engineer
Responsibilities:
Developed, maintained, and enhanced CI/CD pipelines to streamline feature delivery, bug fixes, and system updates across development, integration, and production environments, culminating in a 20% decrease in deployment time.
Proficiently utilized a diverse skill set encompassing Bash, Python, Go, PowerShell, UNIX, HTML, Shell Scripting, Ruby, YAML, and Perl to develop robust and scalable solutions, enhancing system efficiency, automating processes, and ensuring seamless integration across platforms.
Utilized APIs and microservices, encompassing REST, Web, and GraphQL protocols, to enhance system communication and scalability within distributed architectures.
Designed and implemented disaster recovery plans and backup strategies to ensure business continuity.
Facilitated cross-functional collaboration and communication between development, operations, and security teams to improve overall project efficiency and effectiveness.
Managed and optimized databases including Oracle, MongoDB, SQL Server, MS SQL, and NoSQL, resulting in a 30% increase in data retrieval speed and a 25% improvement in overall database performance.
Implemented and optimized configuration management tools such as Ansible, Puppet, and Chef, achieving a 40% reduction in configuration errors and a 35% increase in deployment speed.
Leveraged expertise in OpenID, OAuth, Node.js, JavaScript, and C# to develop secure and efficient authentication systems, enhancing user experience and data protection while ensuring seamless integration across platforms.
Implemented infrastructure as code (IaC) templates and configurations, applying security best practices to cloud resources and infrastructure components, resulting in enhanced reliability and scalability of the system architecture.
Managed Windows Server and Linux systems to ensure smooth operation, security, and reliability.
Client: Oracle, Hyderabad, India Jan 2019-Mar 2020
Role: Build Release Engineer
Responsibilities:
Engineered and executed CI/CD pipelines in MS Azure utilizing Azure ADO Pipelines and Pipeline as Code methodologies, resulting in accelerated software delivery cycles, reduced manual errors, and enhanced deployment reliability.
Deployed and managed monitoring and logging systems utilizing Prometheus, Grafana, ELK Stack, Nagios, and Splunk, enhancing operational efficiency and enabling timely issue detection and resolution.
Implemented and managed cloud infrastructure on AWS, optimizing resource usage and reducing costs by 25%
Used Subversion as Source Code Repositories & managed SVN repositories for branching, merging and tagging; coordinated with developers in establishing and applying appropriate branching, labeling / naming conventions using GIT source control and resolved conflicts related to merging of source code for Subversion.
Worked closely with development and QA teams to ensure smooth and timely releases.
Collaborated within an agile team environment utilizing JIRA for project management, facilitating seamless task tracking, and enhancing team productivity, resulting in on-time project delivery and improved workflow efficiency.
Designed and deployed automation of containerized applications leveraging Kubernetes and Docker, optimizing scalability, resource utilization, and deployment efficiency while ensuring seamless orchestration and management of microservices architecture.
Automated infrastructure provisioning and configuration management using Ansible, reducing setup time by 50%.
Utilized open-source tools such as RabbitMQ, Redis, and Kafka to optimize system architecture, leading to a measurable enhancement in data processing efficiency by 25%.
EDUCATION
Masters in Computer and Information Science from Southern Arkansas University