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Dhana Lakshmi
@dhanauppalapati
Senior DevOps Engineer
Indien
Englisch, Hindi, Telugu
Über mich
DevOps & Cloud Engineer with strong experience in Azure, CI/CD pipelines, Terraform, GitHub Actions, automation, cloud architecture, and migrations. I design secure, scalable, and high-performing infrastructures, modernize applications, optimize deployments, and solve complex cloud issues. Skilled in scripting, containerization, monitoring, troubleshooting, and IaC development. I deliver reliable solutions with clear communication, attention to detail, and a commitment to quality and on-time delivery. Always focused on helping clients achieve efficient, automated, and resilient cloud systems.
Kompetenzen
Dhana Lakshmi
offline •
Durchschnittliche Antwortzeit: 1 Stunde
Meine Dienstleistungen
Infra als Code
I will build production ready azure infrastructure through terraform
DevOps-Beratung
I will migrate on premise or nas data to azure file share
Portfolio
Arbeitserfahrung
Optum
Vollzeit • 3 yrs 10 mos
Senior DevOps Engineer
Feb 2025 - Present • 1 yr 3 mos
1. Lead the migration of .NET Framework and .NET Core repositories from Azure DevOps to GitHub Enterprise Cloud, aligning with enterprise governance. 2. Replaced legacy DLL dependencies with NuGet packages from JFrog and secured application secrets using HashiCorp Vault. 3. Designed and implemented CI/CD pipelines using GitHub Actions, deploying workloads to Azure Web Apps and on-premise servers. 4. Integrated CodeQL for automated security scanning using self-hosted runners. 5. Automated Azure resource provisioning with Terraform, creating and managing Function Apps, Key Vaults, Storage Accounts, and Data Factory instances. 6. Migrated Jenkins pipelines to GitHub Actions, ensuring compliance with enterprise DevOps policies. 7. Mentored junior developers on DevOps best practices, infrastructure as code, and cloud deployment standards.
DevOps Engineer
Jul 2022 - Feb 2025 • 2 yrs 7 mos
1. Developed and maintained .NET Framework / .NET Core web application and integrated with Azure services. 2. Automated data processing using Python (pandas, numpy) scripts to compare and transform Excel data efficiently. 3. Migrated IBM TWS batch jobs written in VBScript and Command Scripts to Azure Data Factory pipelines, improving reliability and observability. 4. Configured Linked Services & Pipelines in ADF to connect with Salesforce, Function Apps, Key Vault, and Azure Storage Accounts. 5. Created Terraform scripts to automate provisioning of Azure resources. 6. Migrated large volume of data from NAS to Azure File Share 7. Implemented CI/CD pipelines using GitHub Actions to automate build, test, and deployment workflows for cloud-hosted applications. Collaborated closely with architects and senior engineers to resolve deployment challenges and optimize performance.
