Swapnil Kanere

Devops Engineer

Multai,MP

Summary

DevOps Engineer with over three years of expertise in automating cloud infrastructure and optimizing costs. Proficient in AWS, Kubernetes, and Infrastructure as Code, with a strong focus on CI/CD pipeline development. Demonstrated success in enhancing system reliability through proactive monitoring and automated deployments.

Overview

years of professional experience

Certifications

Work History

DevOps Engineer

CleverTap

Mumbai, Maharashtra

06.2022 - Current

Automated infrastructure provisioning using AWS CloudFormation, reducing provisioning time and ensuring high availability across environments.
Implemented Prometheus & Grafana for real-time monitoring and alerting to improve system observability and reduce downtime.
Optimized AWS costs by identifying and cleaning up unused AMIs, snapshots, and idle EBS volumes.
Enabled seamless releases by implementing Blue-Green Deployment strategies with CI/CD pipelines.
Provisioned and managed AWS networking resources (VPCs, Subnets, NAT, Route Tables, VPC Peering).
Administered Linux-based systems, ensuring high uptime and resolving issues within SLA timelines.
Collaborated with cross-functional teams to improve system performance, resulting in increased application uptime and user satisfaction.

Education

B.Tech - Electronics & Communication Technology

Indian Institute of Information Technology

Bhopal, India

04.2001 -

Skills

Cloud: AWS (EC2, S3, RDS, IAM, VPC, Lambda, CloudFront, EKS, ECS, ECR, ELB, SQS)

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Certification

AWS Certified Cloud Practitioner

Projects

AWS Cost Optimization (07/2023 – 10/2023)

Created a GitHub Workflow that triggers on schedule and calls an API Gateway endpoint.
The API Gateway invokes a Lambda function to scan unused EBS volumes.
Configured Lambda to automatically delete older unused EBS volumes, ensuring cost savings.

Kubernetes Cluster Upgrade (04/2024 – 05/2024)

Upgraded Kubernetes cluster nodes using kubeadm with zero-downtime strategy.
Migrated workloads using blue-green cluster strategy to maintain service continuity.
Automated node group upgrades with Terraform and AWS CLI.
Verified cluster stability and health using Prometheus and Grafana before and after upgrade.

Automated Alert Remediation (01/2024 – 03/2024)

Implemented automated incident remediation with Sensu handlers and GitHub Workflows.
Configured custom handlers for auto-resolving alerts such as disk usage, memory issues, and service restarts. • Integrated with Slack and email for proactive notifications and tracking.
Reduced manual intervention effort and improved Mean Time to Recovery (MTTR).

Timeline