ARGHYA DAS

Led cloud migration strategies for critical workloads, ensuring smooth transitions across AWS services like VPC, EC2, Route 53, RDS, Lambda, and ECS with minimal downtime and thorough documentation.

Developed and led the team to implement the OpsBuddy Terraform module for tag-based resource start/stop, reducing cloud infrastructure costs by 25% through automated resource management.

Implemented a robust monitoring solution with ELK Stack, Sentry, and CloudWatch, improving real-time error tracking and performance insights, reducing MTTR by 30% and boosting system stability.

Optimized Jenkins CI/CD for SaaS with Bash, Python, and Go in Kubernetes, reducing deployment errors by 95% and speeding up delivery.

Reduced environment setup time by 80% through modular Terraform configurations and automated server maintenance with Ansible, ensuring consistency in system administration across 200+ VMs.

Led and mentored the Application SRE team, monitoring SLA, SLO, and SLI, driving growth, collaboration, and a 20% improvement in handling high-priority DevOps and vulnerability-related tickets.

Engineered and deployed Azure DevOps pipelines that integrated AWS S3, Linux VM, Tosca, and Salesforce, optimizing technical information flow and reducing testing lead times by 25%.

Led DevSecOps adoption, integrating SonarQube and OWASP ZAP into CI/CD pipelines, ensuring system security and reducing vulnerabilities by 60%.

Implemented and guided HIPAA compliance in AWS using KMS, IAM, CloudTrail, and GuardDuty, automating security and monitoring processes to ensure data protection and regulatory adherence.

Optimized AWS cloud infrastructure like VPC, Linux EC2, IAM role policy, ALB, subnetting, S3 storage lifecycle, ensuring high availability and secure network performance for enterprise-grade systems.

Enhanced system reliability by 30% through proactive monitoring using Prometheus and Grafana.

Built a scalable NLP VQA ML solution using AWS SQS, EFS, Lambda, S3 and Kinesis in Kubernetes cluster with Helm. Reduced processing time by 40% and improved scalability through automated data ingestion and model inference.

Developed Go microservices for real-time analytics, handling millions of transactions with RabbitMQ in Docker, while leading GitOps-driven CI/CD with ArgoCD across multi-cloud environments.

Streamlined AWS deployments and Windows / Linux / Unix / server administration with DMZ architecture, boosting security and performance for web applications.

Configured DNS, VLAN routing, VPN, Routers, Firewalls and managed network security, reinforcing networking concepts and improving remote control solutions.

Administered MySQL Database, DynamoDB, MSSQL, automating maintenance tasks, and boosting operational support by 30%.

Managed security patches and firewalls, improving network security and cutting vulnerabilities by 40%.