Srinivas Reddy Gavinnolla

Having overall 20+ years of experience in IT industry and 8+ years of experience in defining and implementing cloud/Azure based large solutions. Define cloud architecture, design and implementation for hosting large, complex applications in Azure Cloud infrastructure architect that provided subject matter expertise and hands-on support to the Azure Infrastructure Platform. Key responsibilities & experiences include: SAP on Azure; cloud infrastructure advisory role on the following work-streams: disaster recovery, high availability, infrastructure design & automation; produced artifacts that were required for major project milestones; identified gaps and provided recommendations based on industry best practices Planned and architected a hybrid cloud Services program to leverage an on-premises cloud with public cloud services. Strong experience in designing and implementing cloud solutions on Microsoft Azure. Expertise in Azure infrastructure services, such as virtual machines, virtual networks, and storage. Knowledge of Azure platform services, such as Azure App Service, Azure Functions, Azure Logic Apps, and Azure API Management. Experience in designing and implementing Azure solutions for high availability, disaster recovery, and scalability. Expertise in Azure DevOps and Azure automation for CI/CD pipelines and infrastructure automation. Strong understanding of cloud security best practices and experience implementing security measures in Azure. Experience in implementing governance and compliance controls in Azure, including Azure Policy, Azure Blueprint, and Azure Security Center. Knowledge of Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Cosmos DB. Strong programming skills in languages such as PowerShell and Python. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Developed future-state infrastructure architecture to align with enterprise cloud strategy. Empowered infrastructure and automation engineers to build CI/CD pipelines using infrastructure-as-code methodologies, almost eliminating manual stand-up and tear-down of services. Collaborated with technical experts and architects from multiple IT lanes to build robust and scalable solutions that enable instance growth while minimizing costs and improving performance monitoring. Designed the PaaS hosting deployment process which saved over $300k annually in Azure expenditures. Implemented a dual-purpose DR/Failover architecture in a multi-region topology for both IaaS and PaaS Implement proof of concepts to validate cloud concepts, architecture and requirements Develop PowerShell scripts and ARM templates to automate the provisioning and deployment process Define cloud network architecture using Azure virtual networks, VPN and express route to establish connectivity between on premise and cloud Implement highly available and disaster recovery solutions in Azure to meet the customer SLA requirements Configure the appropriate VMs, storage and network in Azure to support the customer workloads moving to Azure Develop and implement monitoring, backup and archival solutions in Azure to support customer requirements Solutions Consultant responsible to be primary SME on Azure services including SaaS, PaaS and IaaS while contributing architecture decisions and tasks for ongoing migration efforts. Experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and Power Shell Automation Experience in Azure infrastructure management (Azure Storage, Azure AD and Office365) Experience working in Agile/SCRUM teams. Implemented Remote event receivers with provider hosted App deployed on office 365-site collection Designed Azure ML predictive analytic model with images from cars that are stored in Azure data lake Storage. Used Azure Data Factory's copy data tool to ingest data from more than 10 data sources from on premise / on cloud to prep, cleanse, and transformed the data based on business rules and stored the data in SQL Server for consumption using Power BI and other reporting tools.