Dheeraj Gopireddy Email & Phone Number | Welcome to my LinkedIn profile! I am a Seasoned DevOps and Infrastructure Engineer with a wealth of experience in cloud-native technologies, CI/CD, and automation. Cloudification has been a major focus throughout my career, and I have successfully led the migration of approximately 20 projects to cloud environments. I have honed my ability to manage and oversee multiple CI/CD environments, utilizing custom-built Helm charts on Container as a Service (K8s) infrastructure. This expertise has allowed for seamless orchestration and execution of complex projects. Additionally, I possess a strong command of Git, Terraform, Kaniko, Helm, LoadBalancer, Istio ServiceMesh, Python, and other essential DevOps tools. A significant aspect of my role has been the design and implementation of a robust model training pipeline for Machine Learning projects (MLOps). This involved integrating GitHub, Jupyter notebook, Kubeflow, Docker, Kaniko, Kubernetes, and Jenkins. Through this pipeline, I have facilitated seamless collaboration and enhanced the overall efficiency of the projects. Monitoring and ensuring high availability of applications have been central to my responsibilities. I have implemented comprehensive monitoring solutions using tools like Prometheus, Grafana, and Splunk. By closely monitoring logs, metrics, and performance reports, I proactively identify and resolve bottlenecks, ensuring optimal application performance. My proficiency in scripting languages such as Perl, Python, and Bash has been instrumental in automating various build, deployment, and maintenance tasks. Additionally, I have leveraged the power of Django framework and MongoDB to develop a web application tool, streamlining project support requests and enhancing overall productivity.

Dheeraj Gopireddy

Welcome to my LinkedIn profile! I am a Seasoned DevOps and Infrastructure Engineer with a wealth of...
Bengaluru, Karnataka, India

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Dheeraj Gopireddy’s Email dheeraj.gopireddy@intel.com

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Dheeraj Gopireddy’s Location Bengaluru, Karnataka, India

Dheeraj Gopireddy’s Current Industry Intel

Dheeraj Gopireddy’s Prior Industry Schneider Electric

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Work Experience

Intel

DevOps & Infrastructure Lead

2022-03-01 00:00:00 - Present

Schneider Electric

Build And Release Engineer

2015-09-01 00:00:00 - 2019-04-01 00:00:00

Skills

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Languages

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FAQ About Dheeraj Gopireddy

Dheeraj Gopireddy is located at
Bengaluru, Karnataka, India

Dheeraj Gopireddy is a Welcome to my LinkedIn profile! I am a Seasoned DevOps and Infrastructure Engineer with a wealth of experience in cloud-native technologies, CI/CD, and automation. Cloudification has been a major focus throughout my career, and I have successfully led the migration of approximately 20 projects to cloud environments. I have honed my ability to manage and oversee multiple CI/CD environments, utilizing custom-built Helm charts on Container as a Service (K8s) infrastructure. This expertise has allowed for seamless orchestration and execution of complex projects. Additionally, I possess a strong command of Git, Terraform, Kaniko, Helm, LoadBalancer, Istio ServiceMesh, Python, and other essential DevOps tools. A significant aspect of my role has been the design and implementation of a robust model training pipeline for Machine Learning projects (MLOps). This involved integrating GitHub, Jupyter notebook, Kubeflow, Docker, Kaniko, Kubernetes, and Jenkins. Through this pipeline, I have facilitated seamless collaboration and enhanced the overall efficiency of the projects. Monitoring and ensuring high availability of applications have been central to my responsibilities. I have implemented comprehensive monitoring solutions using tools like Prometheus, Grafana, and Splunk. By closely monitoring logs, metrics, and performance reports, I proactively identify and resolve bottlenecks, ensuring optimal application performance. My proficiency in scripting languages such as Perl, Python, and Bash has been instrumental in automating various build, deployment, and maintenance tasks. Additionally, I have leveraged the power of Django framework and MongoDB to develop a web application tool, streamlining project support requests and enhancing overall productivity.