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Click here or scroll down to respond to this candidateCandidate's Name
Sr. Azure Cloud Infrastructure EngineerEMAIL AVAILABLEPHONE NUMBER AVAILABLELINKEDIN LINK AVAILABLESenior Azure DevOps Engineer with 7+ years of experience in cloud infrastructure and automation. Proficient in implementing Infrastructure as Code (IaC) with Terraform across AWS, Azure, and GCP. Skilled in Kubernetes and Docker for container orchestration and optimizing CI/CD pipelines. Experienced in ensuring high availability and security, adhering to compliance standards. Expertise in monitoring with Prometheus and Grafana, scripting with Python, Bash, and PowerShell, and automating network configuration with Ansible, Puppet, and Chef. Proven success in improving infrastructure performance and reducing deployment times. Proficient in Azure cloud computing, encompassing SaaS, PaaS, and IaaS models. Experienced in proficiently migrating on-premises applications to Azure cloud environments. Skilled in optimizing Azure infrastructure through advanced automation tools like ARM templates, Azure DevOps, and Azure Kubernetes Service (AKS). Efficiently managed Azure infrastructure, orchestrating the deployment and optimization of Virtual Machines, Storage Accounts, App Services, Virtual Networks, Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure Blob Storage, Azure Service Bus, Function Apps, Application Insights. Skilled in Azure Infrastructure as a Service (IaaS), specialized in optimizing network capabilities through Azure technologies including ExpressRoute, VPN, Load Balancing, Auto Scaling, and Azure App Services. Proficient in Amazon Web Services (AWS), particularly Identity and Access Management (IAM) for granular access control and security group configurations. Managed various AWS services including S3, Glacier, CloudFront, EC2, ELB, Auto Scaling groups, VPC, RDS, DynamoDB, and CloudWatch. Skilled in orchestrating VPC peering within AWS, optimized traffic flow and implemented robust network security across Virtual Private Clouds leveraging Security Groups, Network ACLs, Route Tables, and AWS CloudWatch for monitoring. Experienced in constructing and configuring virtual data centres in Amazon Web Services (AWS) and deploying Elastic Load Balancers. Led an integral role in configuring and deploying AWS web applications, seamlessly integrating robust monitoring through CloudWatch. Established resilient architectures with VPC integration, AWS Directory Service connections, and Application Load Balancer setup. Demonstrated proficiency in designing high availability applications across AWS Availability Zones, showcasing expertise in fault tolerance, disaster recovery, and auto-scaling using AWS CloudFormation. Led the transition of microservices and mobile applications to Google Cloud Platform (GCP), improving scalability and harnessing the capabilities of GCP offerings like Bigtable, BigQuery, Dataflow, App Engine, and Storage Buckets. Proficient in utilizing Terraform Template functionalities including Infrastructure as Code, execution Plans, resource graphs, change automation, and employed auto scaling launch configuration templates for Amazon EC2 instances. Implemented the integration of Terraform with CI/CD pipelines, utilizing tools like GitLab CI to automate deployment workflows. This resulted in a 30% reduction in deployment time and an enhanced deployment frequency. Led the implementation of Infrastructure as Code (IaC) methodologies using Ansible, automating deployment and configuration across diverse environments. Defined Ansible playbooks and roles for streamlined operations and improved scalability. Ensured version control of infrastructure code with Git for collaboration and versioning integrity Experienced in implementing and maintaining high-availability solutions within OpenStack, utilizing features such as redundant controllers, distributed storage, fault-tolerant networking, Ceph for scalable storage, Open vSwitch for virtual networking, and Heat for orchestration. Experienced in orchestrating containerized applications with Docker, ensuring portability and consistency across environments. Proficient with Docker Compose for multi-container management and scaling. Orchestrated high-availability Kubernetes clusters across AWS EKS, GCP GKE, Azure AKS, and integrated Helm, ArgoCD, and Terraform for infrastructure as code implementation. Implemented monitoring and logging with Prometheus, Grafana, ELK Stack, and Fluentd. Enhanced microservices security and observability using Istio, Linkerd, Kubernetes Network Policies, and Istio mTLS, integrating tools like Flux, Consul, Vault, Spinnaker, and Operators for better Kubernetes functionality. Demonstrated proficiency in modern configuration management tools such as Ansible, Chef, Puppet, SaltStack, Terraform, and Kubernetes. Proficient in seamlessly integrating configuration management tools with CI/CD pipelines and other DevOps toolchains, applying industry best practices in version control, code review, and testing to optimize processes. Skilled with SCM tools such as Git, GitHub, GitLab, and Azure DevOps Repos and proficient in integrating SCM with CI/CD pipelines like Azure Pipelines, Jenkins, GitHub Actions, issue tracking systems such as Jira, Azure Boards. Experienced in optimizing branching strategies to meet project needs. Automated code review processes such as pull requests, JUnit, SonarQube and managed SCM workflows in Azure environments. Executed proactive maintenance and updates across diverse Linux distributions (RHEL, CentOS, Ubuntu), Architected networking solutions by incorporating DNS, SSH, and DHCP across UNIX and Linux environments. PROFESSIONAL SUMMARY Managed the deployment of OpenStack infrastructure, coordinated with multiple teams to design customized cloud environments, and implemented automated provisioning using OpenStack APIs. Experienced in leading the creation of Azure infrastructure utilizing ARM templates, Azure pipelines, and managed Azure Container Registry for Docker images. Skilled in engineering Docker images for optimized deployment. Managed deployment of .NET and Python apps in Azure DevOps, optimizing workflows and enhancing collaboration, resulting in a 20% increase in deployment efficiency. Directed administration of Azure Kubernetes infrastructure, guaranteeing security and optimal performance, leading to a 30% reduction in deployment time. Coordinated the deployment of .NET and Python applications within Azure DevOps, streamlining workflows and fostering collaboration. Familiar with IaC principles and experienced in managing complex systems. Implemented cutting-edge CI/CD practices within Azure DevOps to facilitate agile development methodologies and spearheaded the administration of Azure Kubernetes infrastructure, prioritizing robust security measures and optimizing performance metrics. Proficiently managed Nexus, JFrog Artifactory to enhance Maven project efficiency. Integrated Maven with Jenkins to improve build times and test coverage and also implemented parallel module builds to streamline project completion time. Worked with Jenkins and Bamboo to reduce build failures and increase deployment frequency, led CI/CD pipeline implementation in Jenkins and applied advanced PowerShell scripting techniques to automate processes. Experienced in orchestrating proactive maintenance and updates for various Linux distributions such as RHEL, CentOS, and Ubuntu, resulting in a 30% reduction in system downtime. Integrated Kafka with Azure services such as Azure Blob Storage and Azure Functions for data ingestion and processing, enabling seamless integration with existing cloud architectures. Designed comprehensive networking solutions encompassing DNS, SSH, and DHCP to ensure robust connectivity and efficient data management across UNIX and Linux systems. Proficiently orchestrated the establishment of Azure infrastructure leveraging ARM templates, Azure pipelines, and managed Azure Container Registry for Docker images. Demonstrated expertise and proficiency in leveraging modern Windows Server platforms for development, deployment, and system administration tasks. Skilled in conducting network analysis in Linux environments and experienced in developing scripts in Bash, Python, Perl, and Ruby for automation and integration, thereby enhancing Linux server functionality. Cloud Services : AWS, Azure, GCP. Configuration Management Tools : Ansible, Chef, puppet Container Tools : Docker, Kubernetes, Docker Swarm, OpenShift CI/CD Tools : Azure DevOps, Jenkins, Argo CD, Travis CI. Build Tools : Maven, Ant, Gradle, Junit. Version Control Tools : Git, GitHub, GitLab, Bitbucket, Subversion (SVN), Azure Repos. Scripting Languages : Python, Power Shell, Java, JSON, YAML, Groovy Virtualization Technologies : VMware ESX/ESXi, Windows Hyper-V, Virtual box Web Servers : Apache Tomcat, Nginx, WebSphere Monitoring Tools : Splunk, Nagios, ELK, Cloud Watch, Prometheus, Grafana Repository Management : JFrog Artifactory, Nexus, AWS CodeArtifact, Azure Artifacts Bug Tracking Tools : Bugzilla, JIRA, HP ALM, IBM ClearQuest Operating Systems : Ubuntu, CentOS, Red Hat, Linux, Windows Databases : MySQL, NoSQL, MongoDB, DynamoDB, Cassandra, Redis Web Technologies : HTML, CSS, JBOSS. IAC & Provisioning Tools : Terraform, ARM Templates, AWS Cloud Formation. Sr. Azure Cloud Infrastructure Engineer Feb 2023 - present Apree Health, Seattle, WA Proficiently managed a diverse suite of Azure cloud services, including virtual machines, storage accounts, App Services, Virtual Networks, Azure SQL Database, Azure Data Lake, Azure Blob Storage, Azure Service Bus, Function Apps, Azure Search, Application Insights, Express Route, Azure Data Bricks, Traffic Manager, VPN, Load Balancing, Application Gateways, Azure Data Factory and Auto-Scaling. Extensive experience in Azure Infrastructure as a Service (IaaS), Optimized networks and services for efficiency using technologies such as Express Route, VPN, Load Balancing, and App Services. TECHNICAL SKILLSPROFESSIONAL EXPERIENCE Executed Enterprise Integration architecture utilizing Azure Service Bus, AppService, Active Directory, Storage, and Hybrid Connection Manager. Successfully transitioned infrastructure and applications from on-premises to Azure, and configured Azure Active Directory authentication for various Azure services, including Azure SQL Server. Collaborated alongside development teams to refine the scalability, reliability, and performance of Software as a Service (SaaS) application architecture within Azure environments. Proficiently optimized Azure VMs, including Storage Pool creation, Disk Stripping, and Azure Backup configuration, managed Azure Active Directory for identity and access control. Led migration efforts of SQL databases to Azure Data Lake and transitioned on-premises databases to Azure Data Lake Storage through Azure Data Factory. Deployed Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) within secure VNets and subnets. Configured Azure Traffic Manager for user traffic routing. Utilized Azure Resource Manager Templates (ARM) for server building and installation, implemented Azure VPN-Point to Site, Virtual Networks, and Azure Custom Security, including endpoint security and firewall updates, leveraging ARM for infrastructure provisioning. Leveraged Python API for seamless uploading of all agent logs into Azure Blob Storage. Managed internal deployments of monitoring and alarm services for Azure Infrastructure using OMS. Proficiently implemented a wide range of Azure cloud services such as PaaS, IaaS, SaaS, including Storage, Azure AD, Azure Application Insights, Azure Traffic Manager, Azure Monitoring, Azure OMS, Azure SQL, Cloud Services, Load Balancing, and Azure Application Gateways. Managed Azure DevOps build and release pipelines, repository setup, Git branch permissions, microservices deployment, and Azure environment provisioning, and implemented CI practices in Azure DevOps. Established a robust CI/CD pipeline in Azure DevOps for Kubernetes container environments, leveraging Kubernetes and Docker for runtime environments to build, test, and deploy applications across DEV and PROD environments. Utilized Azure DevOps services for version control, build automation, and release management, ensuring rapid and reliable software delivery. Coordinated Docker integration into CI/CD pipelines, seamlessly integrated Docker with platforms like Azure Devops, GitLab CI/CD, and Ansible for automated continuous integration and deployment workflows. Developed and automated Azure tasks with Graphical and PowerShell runbooks. Successfully deployed Azure Active Directory Connect and configured Active Directory Federation Services (ADFS) authentication flow, facilitating seamless ADFS installation via Azure Active Directory Connect. Utilized Docker Registry for safe image storage and sharing, facilitating teamwork and version management, used Docker Machine to set up and oversee Docker hosts on Azure. Utilized Docker-Compose and Docker-Machine to construct Docker containers for application testing in QA environments, automating deployment to Nexus, and managed containerized applications for scalability. Implemented Kubernetes for automated container management, integrated with Helm charts to standardize deployments and manual intervention. Improved security protocols by smoothly incorporating Multi-Factor Authentication (MFA) into Azure DevOps pipelines and precisely configuring conditional access policies in Azure AD to enforce MFA based on various contextual factors like user location, device type, or risk level. Implemented Prometheus and Grafana for comprehensive monitoring, leading to reduced system downtime through proactive issue detection, and developed Docker and Kubernetes ecosystem, integrated Istio for microservices communication and reliability, reducing infrastructure costs by 50%. Utilized Terraform for IAC (Infrastructure as Code) and auto scaling, streamlined cloud instance deployment for microservices, enhancing efficiency, and maintaining consistency. Enhanced containerized workload management through the seamless integration of Docker, Kubernetes, and Terraform, implemented Prometheus and Grafana for robust monitoring and employed Helm charts for Kubernetes deployments and Terraform modules for infrastructure setup. Led collaborative integration of Docker, Kubernetes, and Terraform with Azure services like Virtual Machines, Blob Storage, and MySQL Database, enhancing Azure cloud infrastructure for scalability, reliability, and efficient resource utilization, ensuring maximum availability. Led the design and implementation of Azure AD integration with Azure DevOps to establish seamless single sign-on (SSO), while also implementing multi-factor authentication (MFA) using Azure AD conditional access policies, ensuring heightened security. Implemented unified DevSecOps frameworks on Azure, integrated security protocols into CI/CD pipelines, and leveraged Azure DevOps, Azure Security Center, and third-party solutions for proactive threat detection and compliance. Demonstrated proficiency in deploying Istio on Azure Kubernetes Service, fortifying security through Node-to-Node encryption and applied expertise in configuring Azure services like App Services, Application Insights, and Traffic Manager. Deployed Pod Security Policies (PSP) in AKS to enforce best practices and regulate pod scheduling, effectively reducing security risks and also handled Kubernetes objects such as Istio-system and Ingress controller. Managed Splunk deployment in Azure for log management and analysis, enhancing monitoring, troubleshooting, and security response by tailoring configurations to the Azure ecosystem with deep Azure expertise. Successfully integrated Azure Key Vault with CI/CD pipelines to securely retrieve secrets during application deployment, and implemented robust disaster recovery strategies for Azure Key Vault. Orchestrated Azure DevSecOps projects, enhancing security across Azure infrastructure by utilizing Azure Security Centre, Azure Policy, and Azure Sentinel for proactive threat detection and compliance, resulting in a 30% improvement in security posture. Established Dynatrace dashboards to monitor business-specific KPIs and application performance in Azure environments, utilizing Application Insights and Dynatrace SAAS. Utilized Python, Bash, and PowerShell to automate tasks, reducing manual effort and implemented monitoring scripts with Prometheus, Grafana, and ELK (Elasticstack Logstash Kibana) Stack for proactive issue resolution. Led CI/CD pipeline implementation with Azure Devops and GitLab CI, architecting scalable repositories in GitHub and Bitbucket, and automated management tasks with Python and Bash. Incorporated Azure Container Registry into Azure DevOps to optimize image creation, storage, and deployment workflows, guaranteeing uniformity and dependability across development, testing, and production stages. Implemented and managed Kafka clusters on Azure Kubernetes Service (AKS) for real-time event streaming and message queuing, ensuring high availability and scalability of data processing pipelines. Implemented logging and monitoring solutions for Kafka clusters using tools like ELK stack (Elasticsearch, Logstash, Kibana) or Azure Monitor. Implemented Azure Repos, reducing merge conflicts by 30%, and configured Azure Monitor for 25% faster incident response. Automated source code quality checks and security scans with SonarQube and Snyk, enhancing code reliability and reducing vulnerabilities by 30%.Senior Azure Cloud Devops Engineer Apr 2021 - Dec 2022 Sift Science, San Francisco, CA Implemented Azure DevOps CI/CD pipelines with Azure Repos for version control, Azure Pipelines for CI/CD and integrated Azure Key Vault for secure secret and key management and Azure Artifacts for package management. Implemented Infrastructure as Code with Azure ARM templates and Terraform, and utilized Azure Virtual Network for secure networking, Azure Storage for scalable storage, and Azure Compute for scalable resources. Enhanced application monitoring and logging using Azure Monitor, Azure Log Analytics, and Application Insights, leading to a 50% reduction in mean time to resolution (MTTR) for critical issues. Implemented seamless service deployment across multiple environments with zero downtime using Azure Traffic Manager and Azure DevOps Services. Designed and implemented a robust security framework utilizing Azure Security Centre and Azure Policy and secured the DevOps pipeline, while automating application scaling with Azure Autoscale and Azure Logic Apps and optimized resource utilization. Implemented backup and disaster recovery solutions with Azure Backup and Azure Site Recovery, ensuring data integrity and improved code quality by integrating Azure DevOps with GitHub for automated code reviews. Engineered automated testing frameworks using Azure Test Plans and Selenium and integrated test results with Azure DevOps Dashboards to provide real-time visibility into test progress and quality metrics. Optimized database performance and management through Azure SQL Database and Azure Cosmos DB, implementing automated scaling and failover strategies. Utilized Azure Container Registry Tasks to automate image builds and deployments directly from source code repositories, while optimizing Docker image sizes and layers within Azure Container Registry. Developed serverless architectures using Azure Functions and Azure Logic Apps and utilized Event Grid for event-driven automation and integrated with Azure Service Bus for reliable messaging. Implemented continuous delivery and configuration management using Azure DevOps and Chef, automated the deployment of infrastructure and applications. Architected hybrid cloud solutions leveraging Azure Arc to extend Azure management and services across on-premises, multi-cloud, and edge environments. Implemented advanced security measures using Azure Sentinel for threat detection and response, and Azure AD for identity and access management(IAM). Utilized Terraform variables and templates for parameterization and reusability, enabling standardized and scalable Kubernetes deployments across multiple environments. Created and maintained detailed documentation and runbooks for Terraform configurations and Azure infrastructure, and implemented dynamic secrets management using HashiCorp Vault and Azure Key Vault. Led the containerization efforts of legacy applications using Docker and Kubernetes, achieving 80% reduction in infrastructure costs and improving deployment consistency. Implemented Docker Swarm for container orchestration and Kubernetes for cluster management, ensuring high availability and scalability. Implemented container-based application scaling strategies leveraging Kubernetes Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler, dynamically adjusted resource allocation based on workload demand. Implemented a robust monitoring solution utilizing Azure Monitor, Prometheus, and Grafana for comprehensive visibility into application and infrastructure performance. Orchestrated end-to-end deployment automation for microservices architecture using Azure DevOps, Azure Service Fabric, and Azure Container Registry, which accelerated release cycles by 35%. Utilized Azure Container Registry (ACR) for secure image storage and Azure Kubernetes Service (AKS) for production-grade Kubernetes environments, ensuring reliability and scalability. Automated infrastructure testing using Terratest and Azure DevOps, and managed Terraform state locking and concurrency using Azure Blob Storage and DynamoDB. Utilized Prometheus and Grafana for monitoring and visualization of Kubernetes cluster metrics and implemented Kubernetes RBAC for fine-grained access control and Istio for service mesh integration. Developed Terraform modules for provisioning Azure resources such as Virtual Machines, Storage Accounts, and Networking components, enabling reusable and scalable infrastructure deployments. Utilized Azure Security Center alongside Azure Monitor and Azure Log Analytics for real-time threat detection and also designed and implemented Infrastructure as Code (IaC) solutions using Terraform and Ansible. Performed log analysis and reporting using PowerShell scripts, and integrated PowerShell with third-party APIs to automate data retrieval and processing tasks, enhancing data analysis capabilities and operational efficiency. Streamlined user account management and permissions in Active Directory through PowerShell automation, improving security, and leveraged PowerShell DSC(Desired State Configuration) to maintain consistent configurations. Implemented Terraform state management using Azure Storage and Azure Key Vault for secure storage of sensitive data, ensuring consistency and integrity across deployments. Automated Kubernetes cluster operations and maintenance tasks using Azure Kubernetes Service (AKS) managed features such as automatic scaling, upgrades, and node management. Managed source code repositories effectively using Git and Azure Repos, implemented branching strategies and pull request workflows to facilitate collaborative development. Utilized FluxCD controllers for Git repository synchronization and Helm Operator for managing Helm releases, Developed custom scripts in Python and Bash for automating routine tasks and deployment processes. Proficient in utilizing Ansible for configuration management, employed Ansible Playbooks for consistent orchestration, and enabled automated scaling and recovery by integrating Terraform with Azure's autoscaling and monitoring services. Automated key rotation and renewal processes using Azure Key Vault automation features, and utilized Azure Key Vault for encryption and decryption of sensitive data at rest and in transit. AWS Cloud DevOps Engineer Feb 2019 - Mar 2021KPMG, Hartford, CT Managed scalable computing using AWS EC2, ensured reliable storage with Amazon S3, handled database management with Amazon RDS, implemented serverless functions via AWS Lambda, and automated infrastructure deployment using AWS CloudFormation. Utilized AWS Database Migration Service (DMS) to smoothly transition databases to Amazon RDS, incorporated AWS CloudWatch for monitoring purposes, employed AWS Schema Conversion Tool (SCT) for schema conversion. Directed the automation of server migrations using AWS Server Migration Service (SMS), ensured seamless transitions and established secure connections via AWS Direct Connect and incorporated AWS CloudTrail for thorough logging. Led successful migration project from AWS to Azure, orchestrating the transition of critical workloads while leveraging services such as EC2, S3, RDS, Lambda, and CloudFormation. Managed access permissions during cloud migration using AWS Identity and Access Management for precise control over privileges, policies, and authentication and implemented IAM for access control, ensuring security, and enforced compliance with AWS Config for continuous monitoring. Implemented AWS Cost Explorer for monitoring expenses, utilized AWS Trusted Advisor to receive optimization suggestions, set up AWS Budgets for expense tracking, analyzed usage through AWS CloudWatch metrics, and optimized resource allocation using AWS Auto Scaling. Led the migration from legacy version control systems to Team Foundation Server (TFS) and pioneered the design and implementation of robust CI/CD pipelines using TFS Build and Release Management. Deployed Terraform for provisioning, managed infrastructure with AWS CloudFormation, collaborated using Terraform Enterprise, enforced policies with Terraform Sentinel, and handled configuration management through AWS OpsWorks. Implemented containerized applications via Docker images on AWS Elastic Container Service (ECS), overseen Kubernetes clusters with AWS EKS, leveraged AWS Fargate for serverless container management, and employed Helm charts for streamlined deployment. Utilized cutting-edge AWS and Azure migration tools including AWS Database Migration Service (DMS) for seamless migration of databases to Azure SQL Database and Azure Database for PostgreSQL. Configured Jenkins using Pipeline as Code methodology, seamlessly integrated it with AWS CodePipeline for CI/CD, and leveraged AWS CodeBuild for automated builds. Employed AWS CodeDeploy for streamlined deployments and visualized the pipelines through Jenkins Blue Ocean. Deployed AWS EC2 Auto Scaling for adaptive scaling, harnessed AWS Elastic Load Balancing (ELB) for efficient load distribution, managed DNS with AWS Route 53, ensured high availability using Amazon RDS Multi-AZ, and integrated Kubernetes horizontal pod autoscaling (HPA) for enhanced scalability. Leveraged AWS Server Migration Service (SMS) for large-scale server migrations to Azure Virtual Machines (VMs), ensuring data integrity and minimizing disruptions during the migration process. Implemented CI/CD pipelines with Jenkins to automate application deployments during AWS to Azure migration, utilizing Azure App Service, Azure Kubernetes Service (AKS), and AWS Elastic Beanstalk. Achieved a 50% reduction in deployment times and ensured zero downtime during the transition. Employed Chef for automated configuration, managed infrastructure using Chef Automate, facilitated application deployment with Chef Habitat, ensured compliance through AWS Config, and seamlessly integrated with AWS Systems Manager for operational management. Established AWS CloudWatch for surveillance, AWS CloudTrail for logging and auditing, AWS Config for compliance tracking, AWS Security Hub for managing security posture, and crafted bespoke automation scripts in Python, PowerShell, and Bash. Maximized resource management efficiency by utilizing AWS CLI, met scripting needs through AWS Tools for PowerShell, streamlined application development with AWS SDKs integration, automated tasks via AWS Lambda, and facilitated deployments using AWS CodeDeploy. Architected scalable and secure data warehousing solutions using Snowflake and utilized advanced Snowflake features such as micro- partitioning, data sharing, and time travel to enhance data access and analysis. Contributed to the development and maintenance of Pivotal Cloud Foundry (PCF) platform components and automation scripts, enhanced platform reliability, security, and operability for enterprise-scale deployments. Implemented cost optimization strategies using AWS Cost Explorer and AWS Budgets, optimized resource utilization through rightsizing instances with AWS Trusted Advisor, and conducted regular cost reviews to identify areas for improvement. Developed disaster recovery strategies using AWS Backup and Amazon S3 Cross-Region Replication, conducted thorough testing and validation of recovery processes through AWS Disaster Recovery Testing. Ensured alignment of Recovery Point Objective (RPO) and Recovery Time Objective (RTO) goals with business needs, created detailed disaster recovery plans, specifically tailored for critical applications. Successfully designed and implemented ETL pipelines in Snowflake, automating data extraction, transformation, and loading tasks to streamline the movement of data across systems and enhanced overall data quality and integrity for analytics and reporting requirements. Architected network infrastructure using Amazon VPC and VPC Peering for isolated environments, established secure |
