Hi, I’m
Dolikasree Pujari
Chennai
Summary
Cloud DevOps Engineer with 3 years of experience in automating cloud infrastructure and optimizing CI/CD pipelines using Terraform and Kubernetes for scalable deployments. Adept at end-to-end continuous integration and delivery processes in AWS and Azure DevOps environments, utilizing Jenkins, GitHub Actions, and Azure DevOps for automation and user management. Proficient in version control with GIT, BitBucket, and Azure Repos, and in deploying applications across multiple environments. Strong background in deploying and managing infrastructure with Terraform, ensuring consistent and efficient operations.
Overview
3
years of professional experience
Work History
Aspire System Pvt. LtdChennai
DevOps Engineer
02.2024 - Current
Job overview
- Integrated Azure DevOps pipeline with AWS services, enabling seamless CI/CD processes across cloud environments and improving deployment efficiency.
- Implemented microservices architecture using EKS and Helm, playing a key role in the creation and deployment of scalable applications, which enhanced system reliability and flexibility.
- Configured build validation and unit tests, maintaining high standards of code quality and security, resulting in a 30% reduction in post-deployment issues.
- Collaborated closely with the development team, ensuring smooth project execution and fostering effective communication and coordination, which improved project delivery times by 20%.
- Managed version control with Azure Repos, ensuring efficient code management and team collaboration, streamlining workflows, and reducing merge conflicts.
- Automated infrastructure provisioning using Terraform, achieving consistent and repeatable deployments, and reducing setup time by 40%.
- Reviewed project requirements to identify customer expectations and resources needed to meet goals, ensuring alignment with project objectives and delivering solutions on time.
Aspire System Pvt. LtdChennai
DevOps Engineer
09.2023 - 01.2024
Job overview
- Configured AWS CodePipeline to create and manage reliable CI/CD pipelines.
- Executed the setup of various AWS Cloud services including EC2, ECS, and ECR using tools like CodeDeploy and CodeBuild, enhancing deployment efficiency.
- Utilized features such as ALB, Route 53, and CloudFront to optimize application performance, availability, and security.
- Ensured optimal performance, security, and scalability by leveraging best practices in cloud architecture and deployment.
- Automated provisioning and tasks using Docker containers, enhancing operational efficiency and providing a scalable environment for microservices
- Configured YAML files and Dockerfiles for streamlined infrastructure as code management, ensuring consistent and repeatable deployments.
- Orchestrated production releases using tools like Docker, AWS CodePipeline, CodeDeploy, and CodeBuild for a secure and controlled deployment process.
Aspire System Pvt. LtdChennai
DevOps Engineer
05.2023 - 08.2023
Job overview
- Configured CI/CD using Jenkins with AWS services like EKS, ECR, SFCC, and Bitbucket
- Managed AWS Cloud administration, including EC2 instances, EKS, ECR, and CloudWatch
- Automated provisioning and tasks using Docker containers
- Configured Jenkinsfile, pod.yaml, Dockerfiles, and provisioned Kubernetes cloud as Jenkins agent.
Aspire Systems Pvt. Ltd.Chennai
CloudOps Engineer
09.2021 - 01.2023
Job overview
- Spearheaded the completion of a multi-tenant project, enhancing resource utilization, and delivering scalable solutions across multiple clients.
- Automated build and deployment processes using GitHub Actions CI/CD, improving development efficiency by 30% and reducing errors in the release pipeline.
- Successfully deployed code across QA, Staging, and Production environments, ensuring seamless transitions and adherence to quality standards.
- Optimized server infrastructure, resulting in a 35% reduction in operational costs and improved resource management.
- Implemented effective bug tracking and reporting using JIRA, which streamlined issue resolution and improved team communication.
- Configured Apache Kafka for real-time data streamlining, enabling low-latency data processing, and robust analytics capabilities.
- Managed network security using Load balancer, Auto-scaling, and security groups, and TGW.
- Troubleshot and resolved application and serverless issues, maintaining service reliability and reducing downtime by 20%.
- Improved application performance by 25% by implementing caching and CDN solutions.
- Diligently performed rollbacks when necessary to maintain system stability and minimize downtime.
- Managed the development and implementation of infrastructure automation solutions using AWS technologies such as EC2, S3, ECS, EKS, Lambda, SFTP, and Cloudfront.
Education
Bharath UniversityChennai
Bachelor of Technology from Computer Science Engineering
01.2019
Skills
- Linux
- Ubuntu
- Windows
- Jenkins
- GitHub Actions
- AWS
- Azure DevOps
- Code Pipeline
- S3
- EC2
- IAM
- VPC
- Lambda
- CloudWatch
- API Gateway
- DataDog
- Prometheus
- Shell Script
- Python
- Terraform
- Cloudformation
- GitHub
- Codebuild
- MySQL
- MongoDB
- Docker
- Kubernetes (EKS)
- ECS
- Confluent Kafka
- Helm
Projects
Nomi Health Care Project- CloudOps Engineer, AWS, CICD- Github Actions, IAC- Terraform, SCM- Github, Ticketing tool- Jira, Monitoring- Datadog, Data Streaming- Apache Kafka, SSO- Okta,
Claire's (Ecom Project)- DevOps Engineer, SFCC, Jenkins, AWS, EKS, Containerization- Docker, SCM- Bitbucket,
East Point Project- DevOps Engineer, AWS, Microservices- ECS, CICD- Codepipeline, Version control- Code Build, Containerization- Docker, DataBase- MongoDB
Nurse Connect Project- DevOps Engineer, AWS, Azure Devops - CICD, Microservices- EKS, Version Control- Azure Repo, Conrainerization & registry - Docker & ECR, Database- MongoDB, PSQL, IAC- Terraform
PET Projects
- Sentimentemotions Analyzer: Built a system that can automatically analyze movie reviews and determine if they are positive or negative. This can be applied to other text classification tasks as well, such as spam detection, product review analysis, etc.
- AgriSmart: Working on developing a comprehensive system to analyze agricultural data, providing actionable insights to enhance crop management and optimize resource usage. The system will leverage data analytics and machine learning to monitor crop health, predict yield, and recommend best practices for irrigation, fertilization, and pest control. By integrating real-time data from sensors and historical performance metrics, AgriSmart aims to improve decision-making, increase efficiency, and support sustainable farming practices.
- Pursuing advanced knowledge in machine learning and neural networks, actively studying and experimenting with various architectures and techniques. Applying this expertise to deploy ML models using cloud technologies, enabling scalable and efficient solutions for real-time data processing and predictive analytics in a Cloud DevOps environment.
Timeline
DevOps Engineer
Aspire System Pvt. Ltd
02.2024 - Current
DevOps Engineer
Aspire System Pvt. Ltd
09.2023 - 01.2024
DevOps Engineer
Aspire System Pvt. Ltd
05.2023 - 08.2023
CloudOps Engineer
Aspire Systems Pvt. Ltd.
09.2021 - 01.2023
Bharath University
Bachelor of Technology from Computer Science Engineering
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