Rachana Patil Kulkarni

• Build automation scripts using Python on AWS Lambda and ARM templates in Azure, improving cloud workflows and decreasing deployment time by 80%. • Automate creation of reverse DNS zones for VPC CIDR blocks in AWS, enhancing network management on Amazon Route 53. • Develop a CloudFormation template for Gluster to EFS migration project, reducing deployment time from 3 hours to 15 minutes. • Execute key infrastructure tasks, ensuring system stability and security through IP whitelisting and root cause analysis.

• Configured robust monitoring systems with Datadog, achieving a 40% reduction in dashboard creation time through Terraform automation. • Utilized Terraform to manage user, team, and schedule configurations on PagerDuty, enhancing incident response efficiency. • Implemented a proactive alerting system for expiring certificates, ensuring timely user reminders and mitigating security risks. • Engaged in certificate renewal tasks to maintain the continuous functionality of critical systems.

• Developed and optimized automation scripts leveraging AWS services such as Lambda, EventBridge, DynamoDB, and Route 53, improving cloud operations and reducing manual tasks in key workflows. • Packaged AWS services into CloudFormation stacks and successfully deployed automation solutions to production environments, ensuring high performance, scalability, and reliability for cloud infrastructure. • Gained proficiency in Python for creating and enhancing automation scripts, optimizing performance and adding new functionality to existing cloud workflows, resulting in improved efficiency and reduced operational overhead.

• Implemented CI/CD pipelines using Jenkins and Azure, decreasing deployment time from 2 hours to 30 minutes. • Orchestrated one-click deployment with DevOps Full Stack technologies, achieved a 60% reduction in deployment time. • Provisioned AWS resources (EC2, S3) with Terraform, integrating Terraform Cloud into CI/CD pipelines for improved automation. • Customized Docker images and managed container orchestration with Kubernetes to enhance scalability.

• As a Site Reliability Engineer, I have gained expertise in proactively monitoring customer-facing applications for a retail client, utilizing tools such as Splunk and Dynatrace. • I have hands-on experience in creating Jarvis automations using JavaScript, which improved application reliability and reduced manual effort. • I was successful in diagnosing, investigating, and resolving application and infrastructure issues, as well as playing a crucial role in Disaster Recovery, Peak Load Testing, and Cloud Migration activities. • Additionally, I have acquired a working knowledge of ITIL processes, including Incident Management, Request Fulfillment, and Change Management.

Collaborated with operations teams to remediate production issues, enhancing system reliability. Designed and implemented Disaster Recovery strategies for fault-tolerant systems on AWS. Engaged in chaos engineering to test system resilience and identify weaknesses.