Gaurav Gupta

Client: MANN+HUMMEL - Ludwigsburg, Germany • Leading cloud transformation, architecting secure and highly automated hybrid/multi cloud platforms for Adobe Magento applications involving AEM. • Driving large-scale infrastructure automation via Terraform and GitOps practices for microservices-based architectures in highly secure environments. • Developing enterprise GenAI solutions by leveraging Azure OpenAI and LLMs to drive industrial innovation and digital modernization.

• Architectural governance and cloud migration of the enterprise Azure Platform for Digital Aviation Services (Boeing - DAS), overseeing a complex portfolio of 26+ applications including Jeppesen products. • Led the end-to-end design and deployment of Azure cloud infrastructure and Azure DevOps (ADO) CI/CD pipelines, successfully reducing global deployment lead time • Architected a comprehensive Cloud Adoption and Data Center exit strategy • Orchestrated Databricks cloud automation and data pipelines

Client: Jewelers Mutual Group, USA • Engineered CI/CD pipelines using Azure DevOps • Implemented Infrastructure-as-Code (IaC) by introducing Terraform • Deployed and configured complex Azure PaaS architectures, including App Service Environments (ASE), Web Apps, API Management, and Application Gateway with WAF • Optimized big data workflows by implementing Azure Data Factory (V2) pipelines • Designed secure hybrid-connectivity solutions utilizing Azure Site-to-Site VPN and DNS Zones

Responsibilities: April 2018 to June 2020 • Led the implementation of campaign management workflow solutions for retail marketers. • Managed onboarding for multiple new retailers and led the Implementation Team. • Set up release environments in Azure DevOps, hosting websites in IIS/Azure App Services, and creating ADO based CI/CD automation pipelines. Technologies Used: Azure DevOps, JIRA, Yellowbricks, IBM Netezza, 1010data, T-SQL, SSMS, SSRS.

• Azure cloud onboarding for Symphony RetailAI apps and iimplementations of Amplify, Category Management System, Evaluate, and Anticipate products designed for Retailers for data analysis and business portfolio enhancement. • Implemented Azure DevOps CI/CD for both Infrastructure and Application. Technologies Used: Azure DevOps, Azure Cloud Infra, Azure Virtual Machine, App Services, Redis Cache, Service Bus, JIRA.