GOSHEN NKANTA

Phone: 609-***-****; Email: adz9dy@r.postjobfree.com

Azure Cloud Data & DevOps Architect

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PROFILE SUMMARY

•With an overall IT experience of 10 + years with more than 8 years dedicated in Azure Cloud Data Engineering, DevOps, Infrastructure, and Software Development, Architecture & Design, Project Management, Change Management, Risk Analysis and Mitigation, Estimating and budgeting, and Planning Efforts.

•Data Engineering:

•Creating and designing the architecture for data storage, processing, and management in Azure, considering factors like scalability, security, and performance. Developing pipelines to extract, transform, and load (ETL) data from various sources into Azure services using tools like Azure Data Factory, Azure Databricks, or Azure Synapse.

•Implementing and managing data storage solutions in Azure, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and Blob Storage. Leveraging Azure services like Azure Synapse Analytics, Azure HDInsight, or Azure Databricks for processing and analysing data at scale.

•Building data models and data warehouses using tools like Azure Synapse Analytics (formerly SQL Data Warehouse) to support analytics and reporting needs.

•Work closely with cross-functional teams to develop and deploy data pipelines, ensure data security and compliance, and optimize data processes for efficiency and performance.

•Hands-on experience in Azure IaaS/PaaS skills like Azure Network services, Load Balancer, App Services, Azure Functions, Logic Apps, Azure Virtual Machines, VM Scale Sets, Traffic Manager, Front Door, Azure Express Route, Databases like Azure SQL, Cosmos DB, ARM Templates, Azure DevOps, Azure Storages like Data lake, Blob storage, File share, Azure Active Directory, Azure B2B and B2C, Azure Key Vault, Azure Security & Monitoring Solutions, Service Bus, Azure AppInsights, Azure Monitor & Sentinel.

•Well verse with designing and implementing:

•Highly scalable and resilient solutions in the Azure Cloud, leveraging a diverse array of Azure services and cutting-edge technologies.

•Configuration Management, Change/Release/Build Management, Support, and Maintenance under Unix/Linux Platforms (REDHAT and CENTOS).

•Architecting and deploying Azure IaaS and PaaS services, encompassing Azure Virtual Machines, Virtual Networks (VNET), Network Services, Azure DevOps, Azure App Service, Logic App, Function App, SQL, Cosmos DB, Storage solutions, Azure Active Directory, Monitoring tools, Autoscaling mechanisms, PowerShell Automation, Azure Update Management and Automation, DNS, and VPN configurations.

•Executed seamless migrations of on-premises applications to Azure, meticulously configuring VNETs and subnets to align with specific project requirements. Leveraged the power of PowerShell scripting to streamline patching, capturing and restoring VM images, and deployments within the Azure environment, ensuring efficient operations and rapid deployment cycles.

•Strong experience in migrating applications from on-premises to Azure cloud platforms.

•Successfully conducted the migration of on-premises applications to Azure, ensuring a seamless transition to the cloud environment. Utilized Azure migration services with Azure migration, Azure Site recovery and Azure backups.

•Organized Virtual Networks (VNETs) and subnets in alignment with project requirements, establishing a secure and scalable infrastructure.

•Established PowerShell and Python scripting to automate crucial processes such as patching, capturing and restoring VM images, and deployments within the Azure environment. These scripts streamlined operations, improved efficiency, and reduced manual effort.

•Used Azure migration services, including Azure Site Recovery (ASR) and Azure backups, to facilitate the migration of on-premises resources to Azure. This involved ensuring data integrity, replication, and backup strategies, allowing for reliable and efficient resource migration.

•Astute understanding of Containerization and implementing Azure services to perfection:

•Executing Azure services to perfection, including Azure Cloud Services, Azure Storage solutions, Azure Active Directory (AD) integration, Azure Blob Storage, Azure Virtual Machines (VMs), SQL Databases, Azure Functions, Azure App Service, Azure Monitor, Data Factory, Data Bricks, and Azure Service Bus, Databases like Azure SQL, Cosmos DB, ARM Templates, Azure DevOps, Azure Storages like Data lake, Blob storage, File share, Azure Active Directory, Azure B2B and B2C, Azure Key Vault, Azure Security & Monitoring Solutions, Service Bus, Azure AppInsights, Azure Monitor, Azure Sentinel, etc.

•Experienced in defining the structure of Helm charts, establishing a repository strategy, and identifying integration points with other Azure services. This includes ensuring proper networking, security, and scaling configurations to support Helm deployments.

•Contributed to documenting and defining the necessary resources, configurations, and dependencies within the Helm charts and implemented best practices for chart organization and versioning to ensure consistency and maintainability.

•Skilled in integrating Helm with Azure DevOps to establish end-to-end continuous integration and continuous deployment (CI/CD) pipelines enabling streamlined deployment of applications and efficient management of environment-specific configurations.

•Used my expertise in writing Docker files and building and pushing Docker images to Azure Container Registry (ACR) repositories. Additionally, possess experience in deploying Helm charts on Azure Kubernetes Service (AKS) clusters, ensuring smooth deployment and management of containerized applications.

•Expertise in leveraging Azure API Management (APIM) and APIGEE platforms to securely host APIs. Utilizing these robust API management solutions, ensured that APIs are protected, authenticated, and accessible to authorized users, promoting secure and seamless integration with various systems.

•Designed the overall architecture of Istio service mesh deployments entailing installing service mesh components in Kubernetes clusters, including control plane components such as the service mesh control plane and data plane proxies.

•Implemented security features provided by the service mesh, such as mutual TLS (mTLS) authentication, access control policies, and encryption of data in transit.

•Assessing and executing the need for service endpoints and private endpoints based on security and performance considerations.

•Brilliant in automating and scripting:

•Languages, including Bash/Shell, PowerShell, ensure the creation of powerful and versatile automation solutions.

•Shell and PowerShell scripts, empowering automated execution of administrative tasks and streamlining the build and release processes.

•Knowledge in cloud and application monitoring, alerting, and troubleshooting with Azure log analytics workspace.

•Knowledgeable in configuring monitoring and alerting tools according to requirements like Prometheus and Grafana, setting up alerts, and deploying multiple dashboards for individual applications in Kubernetes. Incorporated Prometheus, Grafana, ELK, or Splunk with CI/CD pipelines to enable continuous monitoring and log analysis throughout the software development lifecycle. Controlled monitoring and logging solutions to identify performance bottlenecks, optimize resource utilization, and troubleshoot application or infrastructure issues. Analyse metrics and logs to diagnose problems and propose improvement solutions.

•Utilized Azure Monitor and Application Insights to collect metrics, logs, and traces for performance monitoring, and troubleshooting. Created and deployed multiple customized dashboards fostering comprehensive visibility and real-time insights into individual application performance.

•Demonstrated expertise in setting up CI/CD pipelines using tools such as Azure-DevOps, GitHub, Travis-CI

•Arranged the deployment of microservices and application upgrades utilizing Azure Kubernetes Service (AKS), Container Registry, Jenkins, and Azure Pipelines harnessing the power of containerization and efficient workload management.

•IAC deployment using Terraform, ARM Template and BICEP.

•Exhibited skills in the implementation and fine-tuning of CI/CD tools such as Jenkins, Bamboo, Azure DevOps, Bitbucket, and Sonar code scan validations, facilitating streamlined software development, testing, and deployment cycles.

•A versatile technocrat with hands-on experience in Configuration Management:

•Examined resource utilization and performance metrics to identify underutilized resources. Applied Azure services like Azure Policy, Azure Blueprints, Azure Resource Graph, and Azure Monitor to enforce governance controls, track resource inventory, monitor compliance, and gain insights into resource usage, cost, and security.

•Implementation with advanced configuration management tools like Ansible, and Azure Update Management with Azure Automate enabling efficient management, orchestration, and automation of Azure resources, ensuring consistency and scalability. Designed and executed a governance framework that outlines policies, guidelines, and best practices for Azure resource management. Involvement in defining naming conventions, resource tagging standards, access control policies, and compliance requirements.

•Conduct training sessions and workshops to educate teams on Azure governance and cost optimization best practices.

•Security Implementation from Identity, Application, Data, Network perspective.

•Vast involvement in Azure Backup, Azure Policies, Azure Key Vault, and Tagging. Utilize Azure services like Azure Policy, Azure Blueprints, Azure Resource Graph, and Azure Monitor to enforce governance controls, track resource inventory, monitor compliance, and gain insights into resource usage, cost, and security. Conduct training sessions and workshops to educate teams on Azure governance and cost optimization best practices.

•Extensive knowledge and familiarization with IPsec, VPN, Load Balancing, Routing Protocols, SSH, and Network Monitoring

•Possess working knowledge of provisioning Azure data platform including Azure Data Factory, and Databricks to develop data integration for the data warehouse, and hands-on development experience of provisioning using BICEP, Terraform, and ARM templates.

•Ability to implement advanced configuration management tools like Ansible, and Azure Update Management with Azure Automate enabling efficient management, orchestration, and automation of Azure resources, ensuring consistency and scalability.

•Successfully designed and implemented a governance framework that outlines policies, guidelines, and best practices for Azure resource management. Ability to handle multiple projects simultaneously with a high degree of accuracy. Willingness to take on added responsibilities to meet team goals. Excellent interpersonal, time management, and problem-solving skills.

TECHNICAL SKILLS

PAAS: Azure App Service, Azure Functions, Web Jobs, Azure Batch, Azure Logic Apps, Azure Container Services, Azure Kubernetes Services, etc.

IAAS: Virtual Machines, Virtual Machine scale set, Azure Bastion Host, Jump Server, Virtual Network Peering, Virtual Private Network, Express Route, Availability Sets, Availability Zones, Virtual Networks, Regions, Traffic Manager, Application Security, Front Door, Load Balancer, Network Security Group, Application Security Groups, Service Bus, Service and Private Endpoints, etc.

Azure Storage Account, Blob, Containers, Queue, Table. Access Keys, Shared Access Signatures.

Identity: Azure Active Directory, Managed Identity, Service Principal, AD B2C, OAuth

Scripting & Programming Language: Python, PowerShell, Bash/Shell, JavaScript, Perl, ASP .Net VBScript, Ruby, C, PHP, Java/ J2EE.

Infrastructure As Code (IAC): ARM Template, BICEP, Terraform

DB: Azure SQL Managed Instance, Azure SQL, Cosmos DB, etc.

Data warehouse: Azure Synapse (SQL Datawarehouse)

DevOps: GitHub, Jenkins, Azure DevOps, YAML, CICD Pipelines, Blue Green Deployment, Canary Deployment,

SDLC: Agile Methodology, Waterfall

Security & Monitoring: Azure Key Vault, Disk Encryption, Azure App insights, Azure Monitor, Azure Log Analytics, Azure Sentinel, etc.

Infrastructure Provisioning Tools: Terraform, Azure Resource Manager, Cloud Formation

Configuration Management Tools: Ansible, Chef, Puppet

Application/Web Servers: Apache Tomcat, NGINX, IIS, JBoss4.1, WebSphere, Web Logic 9.x/10.x, Gerrit

CI /CD Tools: Jenkins, Bamboo, Azure Pipelines, Gitlab Pipelines

Operating Systems: UNIX, Linux, Windows, Solaris

Virtualization Platforms: Oracle VirtualBox, VMware Workstation, Vagrant, VMware vSphere ESXi 5.x/4.X, ESX /3.x, Hyper-V

Bug Tracking Tools: JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle, VersionOne.

Containerization Tools: Docker, Kubernetes, Mesos, OpenShift

Source Code Management: GIT, GitHub, GitLab, Bitbucket, Azure Repos.

Logging & Monitoring Tools: Nagios, Splunk, ELK, Data Dog, Dynatrace, Prometheus, Grafana, New Relic, Azure Service Health, Azure Network Monitor.

Developers Tool: Visual Studio Code

PROFESSIONAL EXPERIENCE

Sr. Azure Cloud Architect & DevOps Engineer - 01/2023 Present

Merck & Co., Inc., Rahway, New Jersey

(Company Profile: Merck & Co., Inc. is an American multinational pharmaceutical company headquartered in Rahway, New Jersey. It is one of the largest pharmaceutical companies in the world, generally ranking in the global top five by revenue.)

•Directed and implemented multiple application and database migrations to the cloud, ensuring a smooth transition and optimized performance.

•Executed and devised Azure Solutions across a range of cloud models like SaaS, PaaS, and IaaS, and integrated on-premises, Hybrid cloud, and on-demand workloads with the Azure public cloud.

•Established and designed Azure resources like Azure Machines, Web Apps, Function Apps, SQL Databases, Azure Kubernetes, Azure Container instances, Azure Container Registry using ARM Templates, BICEP, and Terraform using Azure DevOps CICD pipelines.

•Incorporated several Azure technologies, such as Azure Cosmos DB, Azure App Insights, Azure Blob Storage, Azure API Management, and Azure Functions, to create a modern web application with microservices.

•Prepared capacity and architecture plan to create the Azure Cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases.

•Created recommendations on how to duplicate a subset of on-premises machines to the Azure Infrastructure as a Service (IAAS) offering which will be used for disaster recovery. This analysis included the specifics to synchronize on-premises data with SQL Server and SharePoint instances hosted in VMs.

•Performed client acceptance and prototyping using SQL Azure instances.

•Worked on data factory editor, to create linked services, tables, data sets, and pipelines by specifying JSON definitions for these artifacts.

•Built a solution using Azure-managed services StorSimple and Blob storage to archive on-premises data to the cloud.

•Configured VMs in availability sets using Azure portal to provide resiliency for IaaS-based solutions and scale sets using Azure Resource Manager to manage network traffic.

•Worked on Microservices for Continuous Delivery environment using Azure, and Docker. Involved in setting up a Microservice architecture for application development and implemented high availability with Azure Classic and Azure Resource Manager deployment models.

•Extensively worked on Building and Installing servers, creating multiple resources like in Azure through Azure Resource Manager Templates (ARM) or Azure Portal and provisioned them using Terraform templates.

•Worked with Version Control, Build and Release Management, and Deployments of the Solutions to the DEV, QA & PROD Environments leveraging Azure DevOps/VSTS principles/process (CI/CD), and toolsets of Visual Studio, (Azure Kubernetes Service), Application Insights, Log Analytics.

•Implemented Azure Site Recovery and Azure Backup, deploying instances and migrating data centers to Azure using Azure Site Recovery.

•Deployed Kubernetes Clusters on cloud/on-premises environments with master/minion architecture and wrote many YAML files to create many services like pods, deployments, auto-scaling, load balancers, labels, health checks, etc.

•Integrated Ansible with Jenkins to provide automation, continuous integration, and continuous Deployment through Jenkins and wrote Playbooks to automate Ansible servers using YAML scripting. Implemented Jenkins Workflow and Plugins for repeatable deployments of multi-tier applications, artifacts, and services to Docker.

•Instrumented Prometheus for monitoring applications and Kubernetes clusters for the Helm deployments and integrated with Grafana for visualization and dashboards.

•Provisioning servers/instances using infrastructure as code such as Terraform and CloudFormation. Code is stored in a private repository and constantly updated.

•Experience in JIRA for ticketing as well as a defect tracking system and configuring various workflows, customizations, and plug-ins for JIRA bug/issue tracker, integrated Jenkins with JIRA, GitHub, and Maven.

•Installed Istio service mesh components in Kubernetes cluster with control plane components, such as the service mesh control plane and the data plane proxy, to enable traffic management, security, and observability features. Also, set up observability and monitoring tools within the service mesh to gain insights into the behavior and performance of services.

•Configure Azure DevOps pipelines to build, package, and publish Helm charts to a repository for deployment. Set up tasks to validate, lint, and test Helm charts as part of the CI process.

•Established Azure Express Route connection for Single and Multi-subscription connectivity between Azure and On-premises data centre.

•Worked on Terraform templates also for provisioning virtual networks, subnets, VM Scale sets, Load balancers, and NAT rules and used Terraform graph to visualize execution plan using the graph command. Configured BGP routes to enable ExpressRoute connections between on-premises data centers and Azure cloud.

•Build RESTful APIs and microservices using Python frameworks like Flask or Fast API. Secure and expose APIs using Azure API Management & APIGEE for authentication, rate limiting, and monitoring purposes.

•Build Azure Logic App for business requirements and a few custom connectors.

•Integrated Docker container orchestration framework using Kubernetes by creating pods, Config Maps, and deployments. Development of automation of Kubernetes clusters with Ansible, writing playbooks.

•Secured and optimized communication between Azure services and virtual networks by building service and private endpoints.

•Used Splunk APM for log aggregation and analysis on different application servers and integrated Splunk with Single Sign-On authentication and Service Now ticketing tool.

•Implemented HTTP-triggered and event-based serverless Azure Functions using Python, PowerShell, and C#.

•Developed build and deploy scripts using MAVEN and initiated them using Jenkins to move from one environment to another. Used Maven to build Java-based web applications and integrated them with the Nexus repository.

•Developed GIT hooks for the local repository, code commit, remote repository, code push functionality, and GitHub.

•Implement overall Azure governance that provides policies, guidelines, and best practices for better resource management.

Cloud Data & Security Engineer, 01/2021 - 12/2022

Synchrony Financials, Stamford, CT

(Company Profile: Synchrony Financials is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites.)

•Designed end-to-end data architectures on Azure, selecting appropriate services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database.

•Collaborated closely with business stakeholders and data engineers to understand data requirements and translate them into scalable, high-performance data solutions.

•Oversaw data migration and transformation projects, ensuring data integrity and seamless transition to Azure-based data solutions.

•Implemented data security and compliance measures, including data encryption, identity and access management, and auditing to meet regulatory requirements.

•Developed data governance policies and best practices for data quality and metadata management.

•Created data modelling and schema design for data warehousing solutions, optimizing data structures for analytics and reporting.

•Conducted performance tuning and optimization of data solutions to enhance query and data processing performance.

•Automated data workflows and deployment processes, streamlining data operations and ensuring continuous improvement.

•Monitored data solutions for performance and reliability, proactively identifying and resolving issues to maintain data availability.

•Developed ETL processes and data pipelines to extract, transform, and load data from various sources into Azure data solutions.

•Worked closely with data architects and business analysts to understand data requirements and transform raw data into meaningful insights.

•Assisted in the implementation of data security and compliance measures to protect sensitive data.

•Collaborated with the data engineering team to create and maintain documentation for data processes and system architecture.

•Developed capacity plans and architecture for enhancing performance through Azure Cloud migration of IAAS VMs and PAAS role instances.

•Architected and executed diverse Azure solutions covering SaaS, PaaS, and IaaS, orchestrating seamless transitions and optimizing performance for efficiency

•Unified on-premises, hybrid cloud, and on-demand workloads with Azure public cloud, ensuring uninterrupted functionality.

•Designed and provisioned Azure resources using ARM Templates, BICEP, and Terraform facilitated by Azure DevOps CI/CD pipelines.

•Utilized Azure App Service and Service Bus instances to construct a robust, scalable microservices architecture.

•Integrated Azure technologies like Cosmos DB, Application Insights, Blob Storage, API Management, and Functions for a modern web application with microservices.

•Configured Azure B2C with various IDPs and implemented SSO using Azure Active Directory.

•Implemented user flows, custom policies, and multifactor authentication for SAAS applications like SAP, Salesforce, etc.

•Operated within a Microservices architecture leveraging Azure and Docker's dynamic capabilities for continuous delivery.

•Executed high availability strategies using both Azure Classic and Azure Resource Manager deployment models.

•Deployed .NET Core microservices into Azure App Service instances, managing application lifecycles and version control effectively.

•Configured and monitored Azure Application Insights for comprehensive application monitoring, logging, and diagnostics.

•Implemented observability and monitoring solutions within the service mesh, leveraging tools like Prometheus and Grafana for profound insights.

•Implemented security measures for microservices, including authentication, authorization, and data protection, using Azure Active Directory.

•Ensured code quality through automated testing and checks, promoting solution durability and maintainability.

•Managed service endpoints and private endpoints for optimized communication between Azure services and virtual networks.

•Integrated Docker container orchestration through Kubernetes, managing pods, Config Maps, and deployments, automated via Ansible playbooks.

•Leveraged Azure Kubernetes Service, Application Insights, and Log Analytics for effective monitoring and comprehensive performance analysis.

•Instituted Azure Site Recovery and Azure Backup for dependable disaster recovery and data safeguarding.

•Established Kubernetes clusters across cloud and on-premises environments, configuring services, pods, deployments, and load balancers.

•Documented the design, architecture, and implementation specifics of Azure-based solutions, fostering knowledge sharing and cross-functional collaboration among teams.

Cloud Data Engineer & DevOps Engineer – 06/2019 – 12/2020

Data Service Group, Bear, Delaware

(Company Profile: DATA SERVICE GROUP Inc. is a set of highly skilled IT professionals located in Bear DE. We bring specialized IT solutions to meet your business needs that range from Technical Support to powerful, secure, and scalable network solutions to our clients and their businesses.)

•Design and implement Azure-based data architecture to support the storage, processing, and analysis of large datasets.

•Develop data models, schemas, and data warehouses to facilitate analytics and reporting needs.

•Create and manage data pipelines using Azure Data Factory for extracting, transforming, and loading data from various sources into Azure services. Ensure efficient ETL processes to maintain high data quality and integrity.

•Utilize Azure services like Azure Synapse Analytics, Azure Databricks, or HDInsight for processing and analyzing data at scale. Collaborate with data science teams to build and deploy machine learning models for advanced analytics.

•Implement security measures and protocols to protect sensitive data and ensure compliance with industry standards and regulations.

•Monitor and manage access control, encryption, and data governance.

•Monitor data solutions for performance, troubleshoot issues, and optimize processes for improved efficiency and cost-effectiveness.

•Conduct regular performance tuning and capacity planning.

•Designed and configured Azure Virtual Networks (VNets), subnets, Azure Network Settings, DHCP Address blocks, DNS settings, security policies, and routing.

•Deployed Azure IaaS virtual machines (VMs) and Cloud Services (PaaS role instances) into secure VNets and Subnets.

•Exposed virtual machines and cloud services in the VNets to the internet using Azure External Load Balancer.

•Implemented IaaS VMs and Azure Cloud Role Instances in the Azure Cloud environment, resulting in improved performance and resource utilization.

•Leveraged Python scripting and Azure SDKs to automate the provisioning and configuration of Azure resources, streamlining the deployment process.

•Implemented Azure Active Directory for single sign-on access to cloud SaaS applications. Configured various Azure components such as Web apps/Function apps, V-net integration, HCM, Application Gateway, App Insights, Active Directory, Azure Key Vault, Encryption, and Security

•Provisioned servers/instances and other resources using infrastructure-as-code principles with Terraform, and BICEP through Azure CICD pipelines.

•Developed capacity and architecture plans for Multiple systems, applications, databases, etc.

•Configured Azure Multi-Factor Authentication (MFA) for secure user authentication and created custom Azure templates for quick deployments and advanced PowerShell scripting. Deployed Azure SQL DB with Sync and failover configuration

•Implemented Azure Role-based Access Control (RBAC) for team-based access management and segregation of duties.

•Worked with various Azure services including Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, and Azure Analysis Service

•Utilized Azure Monitoring like Log Analytics and Application Insights for data collection and issue resolution.

•Developed and designed Azure DevOps pipeline to manage the resources across multiple subscriptions in Azure.

•Configured BGP routes to establish ExpressRoute connections between on-premises data centres and Azure cloud.

•Implemented Azure best practices for better management and right-sized resources for better cost optimization.

•Designed and built highly scalable and available Azure solutions for on-premises applications and databases across multiple projects, ensuring robust performance and reliability.

•Used Azure Automate for Cloud-based process automation, update management & configuration management.

•Leveraged Maven for building Java-based web applications and integrated it with Nexus repository for artifact management.

•Design and develop serverless solutions using Azure Functions and Python. Utilize Azure Functions Core Tools or Azure CLI with Python to build and deploy serverless applications that can scale on demand and respond to events.

•Deployed and optimized .NET Java, and Python web applications to Azure DevOps CI/CD pipeline, utilizing Repos for code commit, Test Plans for Q&A testing, App Service for deployment with suitable App Service Plan, and Azure Application Insight for performance monitoring and usage data collection.

•Utilized Azure DevOps/VSTS principles and processes for version control, build and release management, and deployments across DEV, QA, and PROD environments.

•Developed and documented automation processes to enable teams to deploy, manage, configure, scale, and monitor their applications using tooling or scripting, reducing the time to get features in production.

•Automated the application build and deployment process, driving efficiency of the code development process while working on reducing the automation backlog.

•Developed Azure Infrastructure as Code templates using Terraform, integrating Azure Log Analytics for monitoring and metrics tracking. Managed multiple infrastructure resources including Cloud, VMware, and Docker containers.

•Orchestrated Docker containers with Kubernetes, handling pods, deployments, auto-scaling, and load balancing.

•Utilize Kibana to create visually appealing dashboards and visualizations. Build

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