Proficient in distributed system architectures and Azure Data Engineering services like Event Hub, Data Factory, ADLS Gen2, Cosmos DB, Synapse, Databricks, APIM, Function App, Logic App, and App Services

Implement, and manage infrastructure using IaC tools such as Azure Resource Manager (ARM) templates and Terraform.

Manage containerized applications using Docker and orchestrate them with Azure Kubernetes Service (AKS).

Set up and manage monitoring, logging, and alerting systems using Azure Monitor, Log Analytics, and Application Insights.

Implement disaster recovery (DR) strategies, backups, and failover mechanisms for critical workloads.

Automate infrastructure provisioning, scaling, and management for high availability and efficiency.

Experienced in managing and maintaining clusters across Development, Test, Preproduction, and Production environments on Azure.

Skilled in defining, scheduling, and monitoring job flows, with proactive alert setup.

Adept at troubleshooting failed jobs in azure tools like Databricks and Data Factory, performing root cause analysis, and applying corrective measures.

Hands-on experience with distributed streaming tools like Event Hub.

Expertise in designing and managing backup and disaster recovery solutions using Infrastructure as Code (IaC) with Terraform.

Strong experience in automating processes using Python, shell scripting, and working with Jenkins and Azure DevOps.

Proficient in designing and maintaining Azure CI/CD pipelines for seamless code integration, testing, and deployment.

Experienced in monitoring and troubleshooting VM resources such as memory, CPU, OS, storage, and network.

Skilled at monitoring applications and advising developers on improving job and workflow performance.

Capable of reviewing and resolving log file issues for system and application components.

Adaptable to evolving technologies, with a strong sense of responsibility and accomplishment.

Knowledgeable in agile methodologies for software delivery.

Experience with Azure and cloud platforms, leveraging cloud-native tools to build, manage, and optimize secure, scalable solutions.

Proficient in distributed system architectures and Azure Data Engineering services like Event Hub, Data Factory, ADLS Gen2, Cosmos DB, Synapse, Databricks, APIM, Function App, Logic App, and App Services

Implement, and manage infrastructure using IaC tools such as Azure Resource Manager (ARM) templates and Terraform.

Manage containerized applications using Docker and orchestrate them with Azure Kubernetes Service (AKS).

Set up and manage monitoring, logging, and alerting systems using Azure Monitor, Log Analytics, and Application Insights.

Implement disaster recovery (DR) strategies, backups, and failover mechanisms for critical workloads.

Automate infrastructure provisioning, scaling, and management for high availability and efficiency.

Experienced in managing and maintaining clusters across Development, Test, Preproduction, and Production environments on Azure.

Skilled in defining, scheduling, and monitoring job flows, with proactive alert setup.

Adept at troubleshooting failed jobs in azure tools like Databricks and Data Factory, performing root cause analysis, and applying corrective measures.

Hands-on experience with distributed streaming tools like Event Hub.

Expertise in designing and managing backup and disaster recovery solutions using Infrastructure as Code (IaC) with Terraform.

Strong experience in automating processes using Python, shell scripting, and working with Jenkins and Azure DevOps.

Proficient in designing and maintaining Azure CI/CD pipelines for seamless code integration, testing, and deployment.

Experienced in monitoring and troubleshooting VM resources such as memory, CPU, OS, storage, and network.

Skilled at monitoring applications and advising developers on improving job and workflow performance.

Capable of reviewing and resolving log file issues for system and application components.

Adaptable to evolving technologies, with a strong sense of responsibility and accomplishment.

Knowledgeable in agile methodologies for software delivery.

Experience with Azure and cloud platforms, leveraging cloud-native tools to build, manage, and optimize secure, scalable solutions.