Prapti Lasunte
Pune
Summary
Systems Engineer / DevOps Engineer with 2–4 years of experience supporting cloud-based infrastructure and production workloads in AWS. Experienced in automation, CI/CD pipeline development, monitoring, and incident response across cloud and hybrid environments. Skilled in using AI-assisted engineering tools for troubleshooting, log analysis, and operational automation to improve reliability and reduce manual effort. Passionate about infrastructure as code, operational efficiency, and building scalable cloud systems.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Systems Engineer / DevOps Engineer
Capgemini
Pune
06.2022 - Current
- Supported AWS cloud infrastructure for production SaaS applications, ensuring availability, scalability, and performance.
- Assisted in designing and maintaining CI/CD pipelines to automate application deployment and infrastructure changes.
- Implemented automation scripts using Python and Bash to reduce manual operational tasks and improve deployment efficiency.
- Used AI-assisted engineering tools for troubleshooting, log analysis, and faster incident resolution.
- Provisioned and managed infrastructure using Infrastructure as Code (Terraform / CloudFormation).
- Supported monitoring and observability platforms including CloudWatch, Prometheus, and Grafana.
- Participated in incident response, root cause analysis, and post-incident reviews to improve system reliability.
- Collaborated with development teams to improve deployment reliability and developer self-service capabilities.
- Applied AWS security best practices, including IAM policy management, network security, and secure pipelines.
- Maintained runbooks, documentation, and operational standards for repeatable deployments and support processes.
Education
Bachelors of Engineering
Sinhagad Institute of Technology
Pune07-2019
Skills
- Amazon Web Services (AWS)
- EC2
- S3
- IAM
- VPC
- RDS
- CloudWatch
- Lambda
- Auto Scaling
- Load Balancers
- Python
- Bash / Shell scripting
- Infrastructure as Code
- Terraform
- AWS CloudFormation
- Jenkins
- GitHub Actions
- GitLab CI
- Docker
- Kubernetes
- Prometheus
- Grafana
- ELK Stack
- GitHub Copilot
- ChatGPT
- IAM policies
- Role-based access control
- Secrets management
- Secure CI/CD practices
- Linux Administration
- Networking fundamentals
- Agile
- Scrum
Certification
• AWS Certified Cloud Practitioner
• Microsoft Azure Administrator – Associate (AZ-104)
• Microsoft Azure Administrator – Associate (AZ-104)
Projects
- AWS Infrastructure Automation Project, Built automated infrastructure provisioning using Terraform for EC2 instances, VPC, and security groups., Implemented CI/CD pipeline using Jenkins and GitHub for automated deployments., Integrated CloudWatch monitoring and alerting for system health tracking.
- AI-Assisted DevOps Troubleshooting, Leveraged AI tools (ChatGPT/GitHub Copilot) to automate log analysis and script generation for operational tasks., Reduced manual troubleshooting time by improving incident diagnostics workflows.
Timeline
Systems Engineer / DevOps Engineer
Capgemini
06.2022 - Current
Bachelors of Engineering
Sinhagad Institute of Technology