● Collaborated with Data Engineers and Application Developers in creating CICD pipeline for deployments of data engineering workloads across different environments using data bricks cli/API and recently data bricks asset bundles● Collaborating with data engineers, database administrators, data analysts, and data scientists to facilitate data integration and analysis tasks as well as identifying and proactively resolving issues around their workflows.● Developed Azure ARM templates for gathering metrics, and configure alert rules for Azure Monitor in a bid to monitor performance of Vault clusters as well as other Azure Resources.● Configuring Azure Monitor to collect, analyze, and act on telemetry from Azure resources. Setting up metrics, logs, and alerts to ensure the health and performance of applications and services.● Proactively monitoring and optimizing resource utilization cost by ensuring data bricks cluster right sizing, use of job clusters and setting cluster policies for data bricks workflows, use of Azure Function/App Service Consumption plans, SQL Elastic Pools, auto shutdown (after business-hours) and restart of VMs (before business hours) in non-production environments.● Implemented Azure Pipelines for CI/CD, creating YAML-based pipeline definitions to manage build and release processes for applications deployed on Azure.● Created PowerShell scripts for automating tasks on Windows environments, such as system configurations, software installations, and Active Directory management.● Leveraging a variety of DevOps tools and practices to Migrate CI/CD pipelines from Azure DevOps to Gitlab, restructured existing Gitlab CICD, and wrote CICD pipelines for Terraform, Ansible, and Application code deployments.●Used ITIL best practices to manage the incident lifecycle, from identification and logging to resolution and closure.● Developed and maintained ServiceNow reports and dashboards to provide visibility into incident and problem management metrics.

● Collaborate with a cross-functional team of application developers, operation engineers, and architects to understand complex project requirements and translate them into automated solutions.● Coordinate all build and release activities, ensure release processes are well documented, and source control repositories including branching and tagging.● Developed reusable terraform modules and created continuous integration/deployment pipelines for Terraform infrastructure automation using Azure DevOps for provisioning resources in Azure and AWS cloud for different environments.● Built and maintained continuous integration/deployment pipelines for automated application code build and deployment application codes.● Introduced and Integrated SonarQube with Azure Pipelines which led to drastic reduction of bugs, security vulnerabilities and code smells, thereby increasing code quality.● Introduced and integrated Azure Load Testing for automated load tests to ensure infrastructure and applications remain performing and resilient to changes.● Managing different Azure Policies including RBAC policies for different subscriptions and management billing conditions.● Configured monitoring and alerts and go on scheduled on-call to monitor application health, availability, and performance, whilst also responding to incidents, resolving incidents, documenting and automating actions towards resolving incidents using tools such as PagerDuty and Confluence.● Debugged and troubleshoot performance issues with Azure VMs, Azure App Services, Azure Kubernetes Service, Azure SQL Databases, Azure Data Factory, Azure Self-Host Agents, Azure DevOps build and release pipelines.● Monitor, diagnose, and provide metrics and repair network health of Infrastructure as a Service (IaaS) such as Virtual Machines, Virtual Networks, Application Gateway, and Load balancers with Azure Network Watcher.● Designing and implementing automated cloud logging and monitoring solutions.

● Designed and developed Terraform Infrastructure repository and CICD pipelines to support multi-environment deployments for green field project● Responsible for the full development life cycle, including design, coding, testing, and deployment. ● Provision Azure Cloud Infrastructure for Prod, Dev, and QA environments.● Developed automated CI/CD pipeline scripts in Python to integrate with Jenkins, GitLab CI, and other CI/CD tools.● Automated infrastructure provisioning and configuration management using tools like Ansible and Terraform, writing Python scripts to handle complex logic and workflows.● Installed, configured, and maintained various Linux distributions including RHEL 4/5/6, and Ubuntu ensuring optimal system performance.● Deploying VMs, Storage, Network, and Affinity groups through PowerShell and terraform script. ● Define cloud network architecture using Azure virtual networks, VPN, and express route to establish connectivity between on-premises and in-cloud. ● Monitor, diagnose, and provide metrics and repair network health of Infrastructure as a Service (IaaS) such as Virtual Machines, Virtual Networks, Application Gateway, and Load balancers with Azure Network Watcher. ● Creating storage pool and stripping of disk for Azure virtual machines. ● Capturing images, configuring backups, and restoring Azure virtual machine for disaster recovery.● Conducted disaster recovery testing and developed recovery strategies for cloud-based solutions.● Implement a monitoring/alert system that tracks the health of resources to decrease downtime. ● Convert existing Virtual machines from standard to premium storage accounts, patching and validating virtual machines in Azure. ● Troubleshoot and identify performance, connectivity, and other issues for the applications hosted in the Azure platform. ● Leverage Azure cloud monitoring and analytics tooling for containerized applications.