Gaurav Gaur

DevOps Engineer with 2.5+ years of experience in cloud infrastructure engineering, CI/CD pipeline automation, and Kubernetes container orchestration across AWS, Microsoft Azure, and GCP. Delivered 30% faster deployment cycles, 20% cloud cost reduction, and 99.9% availability SLA for production systems serving 10,000+ users. Expertise in Terraform, Docker, Jenkins, GitHub Actions, Linux administration, and enterprise observability with New Relic and Datadog.

Focused on Site Reliability Engineering (SRE) in Agile environments.

Associate Developer – DevOps & Cloud Infrastructure - WPP Enterprise Solutions

(2024-10)

• Architected 18+ enterprise-grade Jenkins CI/CD pipelines using Groovy and Bash/Shell scripting, reducing deployment cycles by 30% and increasing release velocity by 40%.
• Orchestrated end-to-end AWS cloud migration for 5 production applications supporting 10,000+ active users, maintaining 99.9% availability SLA via EC2, S3, RDS, CloudFront, Route 53, IAM, VPC, CloudWatch, Auto Scaling, and VPC.
• Automated Infrastructure as Code (IaC) provisioning using Terraform, establishing repeatable, compliant multi-cloud deployments across AWS and Azure environments.
• Built and deployed containerized workloads on Azure Kubernetes Service (AKS) using Docker, Helm Charts, and GitHub Actions CI/CD; integrated ACR, Azure Monitor, and Azure Key Vault for secure, production-ready deployments.
• Containerized 3+ microservices on GCP using Compute Engine, Cloud Storage, and Google Kubernetes Engine (GKE) with Docker-based CI/CD automation.
• Led AWS FinOps initiatives achieving 20% monthly cost savings through EC2 rightsizing, Reserved Instance strategy, and S3 lifecycle policy automation.
• Directed zero-data-loss migration of 30+ repositories from GitLab to GitHub, establishing GitOps workflows, branch protection, RBAC policies, and automated PR review processes.
• Operationalized enterprise observability across Datadog and New Relic APM for 15+ microservices, reducing MTTR by 35% through intelligent alerting and incident management.
• Delivered 10+ zero-downtime releases using blue-green and canary deployment strategies with automated rollback mechanisms, executed 15+ Apache JMeter campaigns under 10,000+ concurrent loads, improving system throughput by 30%.

Technical Apprentice - Wunderman Thompson Commerce Private Limited

(2024-05 - 2024-10)

• Built an image-processing microservice handling 200+ daily uploads using Python, OpenCV, RESTful APIs, and facial recognition capabilities.
• Implemented React.js frontend components with Java Spring Boot microservices with JUnit and API testing, achieving 98% test coverage.
• Designed scalable ETL pipelines in Salesforce Data Cloud integrating 5+ heterogeneous data sources to process 50,000+ daily records with 99.5% data accuracy.
• Developed a customer 360 unified data platform consolidating 10,000+ customer profiles from CRM, marketing, and support channels.
• Developed 15+ Python and Bash automation scripts eliminating 40% of operational toil and improving data quality by 25%.

Master of Computer Applications (MCA) - GL Bajaj College of Technology and Management (2022-11 - 2024-08)

Bachelor of Science (BSc) - Chaudhary Charan Singh University, Meerut (2019-08 - 2022-09)