Karan Reddy

Directed a high-performing team of DevOps engineers, architecting enterprise-grade DevOps and MLOps strategies, championing an automation-first culture, and delivering scalable, secure, and cost-efficient solutions across multi-cloud environments.

• Orchestrated Enterprise DevOps and MLOps Transformations: Led the design and implementation of DevOps and MLOps pipelines for data warehousing, machine learning, and data governance applications, leveraging Azure Data Factory (ADF), Databricks, and Snowflake to drive real-time analytics and compliance for healthcare and enterprise systems.
• Spearheaded Cloud Automation with Terraform: Authored and standardized Terraform-based Infrastructure-as-Code (IaC) frameworks to automate provisioning of complex multi-cloud infrastructure (Azure, AWS, GCP), reducing provisioning time by 50% and ensuring consistency across hybrid environments.
• Architected Advanced CI/CD Pipelines: Designed Pipeline-as-Code (PaC) workflows using Jenkins, GitHub Actions, and Azure DevOps, integrating Shell, PowerShell, and Python scripts to automate build, test, and deployment processes, slashing release cycles by 45% and boosting deployment frequency.
• Led Kubernetes and Containerization Initiatives: Directed migration of legacy applications to Kubernetes (AKS, EKS, GKE), optimizing microservices for scalability, high availability, and security, resulting in 35% cost savings and 99.99% uptime for critical workloads.
• Drove DevSecOps Maturity: Embedded SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) into CI/CD pipelines using SonarQube and OWASP ZAP, achieving 60% reduction in security vulnerabilities and ensuring compliance with industry standards.
• Optimized Data Pipelines and Governance: Engineered high-performance data pipelines using Azure Data Factory, Databricks, and Snowflake, enabling secure, scalable data workflows for healthcare applications while ensuring robust data governance and regulatory compliance.
• Pioneered Power Platform Automation: Developed Microsoft Power Platform solutions (Power Apps, Power Automate) to streamline business processes, integrating with Azure services to enhance data governance and operational efficiency, saving 20 hours of manual effort per week.
• Built Monitoring and Observability Tools: Programmed Spring Boot and .NET-based monitoring tools to track application performance, stability, and resource utilization, improving system reliability by 30% and enabling predictive maintenance for mission-critical systems.
• Mentored and Empowered Teams: Guided a team of 10+ engineers, fostering expertise in cloud-native development, IaC, MLOps, and DevSecOps, while implementing Agile practices to improve team productivity and project delivery by 30%.
• Streamlined Cross-Functional Collaboration: Partnered with systems analysts, data scientists, and stakeholders to align technical solutions with business objectives, resolving complex challenges and ensuring projects met customer expectations on time and within budget.
• Implemented Strategic Process Improvements: Introduced automated testing frameworks, observability dashboards, and standardized workflows, enhancing team efficiency and reducing operational bottlenecks by 25%.
• Drove Cost and Performance Optimization: Optimized cloud infrastructure and data pipelines, leveraging tools like Terraform, Kubernetes, and Azure Cost Management, achieving 30% reduction in operational costs while maintaining high performance.

• Mentored a team of DevOps engineers, promoting best practices in automation, CI/CD, and cloud operations to support enterprise-scale applications.
• Designed and implemented end-to-end DevOps strategies on AWS and Azure, ensuring scalability, high availability, and cost optimization.
• Built and maintained CI/CD pipelines using tools like Azure DevOps, GitHub Actions, and Jenkins, enabling faster and more reliable code deployments.
• Automated infrastructure provisioning using Terraform and ARM templates, significantly reducing provisioning time and improving environment consistency.
• Streamlined configuration management with tools like Ansible and Azure Automation, improving deployment repeatability and system reliability.
• Developed and optimized data pipelines using Azure Data Factory and Databricks, integrating with Snowflake to enhance data analytics and reporting capabilities.
• Implemented effective monitoring and logging solutions using Azure Monitor, Application Insights, CloudWatch, and ELK stack, improving observability and issue resolution.
• Collaborated with development, QA, and infrastructure teams to troubleshoot issues, optimize builds, and ensure seamless release management.
• Managed cloud infrastructure and services (EC2, S3, VPC, IAM, AKS, App Services, etc.) following best practices in performance, security, and cost efficiency.
• Participated in architectural reviews and capacity planning, providing input on cloud-native design, deployment patterns, and automation strategies.

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