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Click here or scroll down to respond to this candidateCandidate's Name
Azure/AWS Cloud SpecialistPHONE: PHONE NUMBER AVAILABLE EMAIL: EMAIL AVAILABLEProfessional SummarySenior Azure DevOps Engineer: Over 9+ years of extensive IT experience, including 8+ years specializing in Azure/AWS Cloud Architecture, Data, and DevOps.Skills:Cloud Expertise: Proven ability to leverage web technologies and Azure Cloud for DevOps tasks. This includes expertise in Azure Architect/System Engineering, network operations, and data engineering.Migration Strategy: Demonstrated success in designing and executing cloud migration strategies. This encompasses migrating on-premises legacy and cloud-native applications, databases, and entire environments to Azure cloud and hybrid configurations, ensuring seamless transitions.Infrastructure & Development: Deep understanding of cloud infrastructure and application development using Azure IaaS/PaaS. Skilled in utilizing development and scaling tools such as Network services, Load Balancers, App Services, Azure Functions, Logic Apps, VMs, VM Scale Sets, Front Door, Cosmos DB, DevOps, Storage (Data Lake, Blob, File), and Azure Active Directory.Azure Landing Zones: Expert in building secure and scalable Azure Landing Zones, creating foundational infrastructure environments optimized for hosting workloads in Azure.Data Management:Cloud Solutions & Migration: Possess a strong understanding of cloud solutions, specializing in leading end-to-end migration projects. Skilled in designing hybrid solutions and possess extensive knowledge of ETL processes, data modeling, and data integration.Data Migration & Storage: Proven experience in migrating SQL data to Azure Data Lake Storage while transferring data files with preservation of structure and metadata.Distributed Systems & Analytics:Systems Design & Optimization: Capable of creating complex distributed systems involving data pipeline development and analytics. Skilled in defining and optimizing distributed system architecture based on performance metrics, user feedback, and evolving business requirements.Monitoring & Observability: Proficient in utilizing monitoring tools like Prometheus and Grafana to optimize performance and reliability in Kubernetes environments. Also experienced in log analysis by integrating Prometheus, Grafana, ELK, and Splunk with CI/CD pipelines for comprehensive monitoring.Infrastructure Management:Automation & Configuration: Highly proficient in configuring Azure Virtual Networks (V-Nets), subnets, Azure network settings, AKS service meshes, DHCP address blocks, DNS settings, security policies, and routing in Azure cloud environments & resources using ARM Templates and Bicep for automation and infrastructure as code (IaC) implementation.Project Management & Collaboration:Project Execution & Leadership: Proven track record in executing complex projects, demonstrating strong critical thinking, communication, and decision-making skills. Proficient in Docker, ACR, and AKS, with expertise in ISTIO service mesh deployment.Soft Skills:Teamwork & Communication: Effective communicator skilled at working in a team environment. Possess excellent problem-solving and project management skills along with strong critical and creative thinking, presentation, time management, interpersonal skills, and decision-making abilities.Technical Skills:Programming Languages:Scripting Languages: Python, Bash/ Shell, PowerShellCompiled Languages: Java, C#, ScalaConfiguration Management Tools:Ansible, Puppet, Chef, SaltStack, PowerShell Desired State Configuration (DSC)Source Code Management:Git(Platforms: GitHub, GitLab, Bitbucket, Azure Repos)Networking:Virtual Networks, Subnets, Network Security Groups (NSGs), Application Security Groups (ASGs) Virtual Private Network (VPN), ExpressRoute Traffic Manager, Load BalancersVirtual Network Peering, Bastion Host, Jump Server Availability Sets, Availability ZonesDevOps Tools:CI/CD Pipelines: Jenkins, Azure Pipelines, GitLab PipelinesConfiguration Management: Ansible, Puppet Chef, SaltStack, PowerShellDSCCode Quality: SonarQube, ESLintCode Coverage: Cobertura, DotCover, coverage.pyInfrastructure as Code (IaC): Terraform, ARM Templates, BicepWeb Development:Frontend: JavaScript, ASP.NETBackend: Java, C#, ASP.NETWeb Servers: Apache Tomcat, NGINX, Internet Information Services (IIS), JBoss 4.1, IBM WebSphere, Oracle WebLogicCI/CD Tools:Jenkins, Azure Pipelines, GitLab PipelinesDatabases:Relational Databases: SQL DatabasesNoSQL Databases: Azure Cosmos DB, Apache Cassandra, Azure Data LakeData Warehousing: Azure Databricks, Azure Synapse AnalyticsSecurity:Identity and Access Management: OAuth, Azure Active Directory (AAD), Managed Identity, Service Principal, Azure AD B2C, Role-Based Access Control (RBAC), Azure Access PoliciesSecurity Services: Azure Key Vault, Azure Firewall, Azure Security Center, Azure DDoS ProtectionMonitoring: Azure Monitor, Azure Security Centre, Azure SentinelCloud Platforms:Multi-Cloud: Azure, AWSInfrastructure ProvisioningTools: Terraform, Azure ResourceManager (ARM), Cloud FormationARM Template, BicepContainerization Tools:Docker, KubernetesCloud Storage:Azure Storage Account: Blob Storage, Containers, Queue Storage, Table StorageData Lake: Azure Data LakeLogging and Monitoring:Cloud-Based: Azure Monitor, Application Insights, Azure Log AnalyticsOpen-Source: Nagios, Splunk, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, DynattraceContainer Monitoring: Prometheus, GrafanaApplication Performance Monitoring (APM): AppDynamicsOther:Deployment Strategies: Blue-Green Deployment, Canary Deployment, Deployment SlotsDevOps Collaboration: GitHub, Azure DevOpsVersion Control Scripting: YAMLProfessional ExperienceCloud Data & Devops Architect (Azure)Striveworks, Austin, Tx Jul 2023 PresentLed a team in the development of Azure solutions across diverse cloud models, including on-premises infrastructure, hybrid environments, and azure public cloud services.Oversaw the analysis, design, and implementation of modern data solutions using Azure PaaS services, enabling advanced data visualization.Designed robust and secure cloud solutions on Azure, including resilient network infrastructures, stringent access controls, encryption protocols, and comprehensive disaster recovery strategies.Orchestrated ETL processes using Azure Data Factory and various querying languages in Azure Data Lake Analytics.Conducted thorough security risk assessments and detailed threat modeling exercises to identify vulnerabilities within Azure deployments.Evaluated existing Azure resources' security posture, recommending targeted remedial measures to mitigate risks.Successfully ingested data from diverse source systems into Azure Data Storage services.Engineered data transformation processes using Scala and Apache Spark on Azure Databricks for efficient and scalable data processing.Implemented data models using Scala for data warehousing solutions like Azure Synapse Analytics.Managed version control, build, and release management using Azure DevOps/VSTS across different environments.Designed secure network architectures for Azure Virtual Networks (VNets) and implemented network security controls.Utilized tools such as Visual Studio, Azure Kubernetes Service, Application Insights, and Log Analytics for enhanced observability and initiative-taking monitoring.Implemented Azure Site Recovery and Azure Backup solutions for business continuity and data protection.Established Azure Express Route connections for seamless communication between Azure and on-premises data centres.Leveraged Terraform and CloudFormation for server provisioning using infrastructure as code principles.Configured Azure DevOps pipelines for Helm charts deployment and validation, automating deployment workflows.Containerized applications writing Docker file, pushing images to ACR and deploying to AKS.Integrated Ansible with Jenkins for automation and continuous integration, ensuring repeatable deployment workflows.Azure Devops & Data SpecialistThe Home Depot, Old Bridge, New Jersey (May 2021 Jun 2023)Formulated comprehensive strategies for migrating our existing e-commerce platform to Azure, meticulously optimizing IAAS VMs and PAAS role instances to achieve peak performance and scalability.Directed a team in crafting architecture blueprints, solution designs, and technical specifications for Azure Synapse and Databricks projects, focusing on integration and data processing capabilities.Deployed sophisticated security monitoring and logging solutions to swiftly detect and respond to security incidents within Azure environments.Engineered custom data connectors and integrations to facilitate seamless data ingestion and processing from diverse sources into Azure Data Lake Storage.Leveraged Azure DevOps to automate CI/CD processes for data pipelines and infrastructure, streamlining development, testing, and deployment workflows.Orchestrated data ingestion workflows into Databricks using Azure Data Factory, Azure Logic Apps, and other Azure services, ensuring smooth data processing and analysis.Played a pivotal role in data transformation processes utilizing Apache Spark on Azure Databricks, proficiently employing Scala, Python, and SQL.Established CI/CD pipelines to automate testing and deployment of Databricks notebooks and jobs, ensuring consistency and reliability in production environments.Utilized Azure Monitoring tools like Log Analytics and Application Insights to collect data and resolve issues, thereby optimizing the performance and reliability of Azure resources.Designed and implemented serverless solutions using Azure Functions and Python, enhancing scalability and cost-effectiveness of application architecture.Employed Azure DevOps/VSTS for version control, build, release management, and deployments across environments, fostering seamless collaboration and efficiency in development processes.Managed Docker containers with Kubernetes, overseeing pods, deployments, scaling, and load balancing to facilitate efficient containerized application deployment.Configured Azure Express Route to establish private connections bridging Azure and on-premises infrastructure, ensuring secure and reliable connectivity.Successfully configured Azure Security Center for threat detection, security alerts, and incident response orchestration, including building incident response plans and conducting security incident simulations and drills.Leveraged various Azure services such as Azure SQL Database, Data Lake, Data Factory, SQL Data Warehouse, and Analysis Service to ensure optimal utilization and integration of Azure resources.Implemented monitoring and alerting using ELK Stack, configuring Logstash and log shippers for data collection, and designing Elasticsearch indices for storage efficiency and compliance.Employed Azure Automate for cloud-based process automation, configuration management, and update management, adhering to Azure best practices for resource optimization and cost-effectiveness.Implemented Azure Active Directory for secure single sign-on access to SaaS applications, configuring Azure components including Active Directory, Key Vault, and encryption to enhance security.Implemented Azure Multi-Factor Authentication (MFA) for secure user authentication, bolstering security measures for Azure resources.Automated Windows patching using PowerShell scripts and created release pipelines in Azure DevOps, ensuring timely and efficient management of system updates.Configured BGP routes for ExpressRoute connections, ensuring robust connectivity between data centers and Azure Cloud, thereby enhancing network reliability and performance.Cloud Devops Engineer & AdministratorMarathon Petroleum, Findlay, Ohio (Mar 2018 Apr 2020)Crafted and executed tailored Azure infrastructure solutions to meet Marathon Petroleum's specific application demands, guaranteeing scalability, reliability, and cost-effectiveness.Formulated monitoring and optimization strategies for Marathon Petroleum's Azure environment, proactively identifying and rectifying performance bottlenecks, and cost inefficiencies.Configured Azure Monitor, Application Insights, and other monitoring tools to furnish real-time visibility into Marathon Petroleum's Azure resources and applications, facilitating prompt troubleshooting and optimization.Devised data migration strategies employing Azure Data Factory and Migration Services, facilitating a smooth transition of Marathon Petroleum's data to the Azure cloud environment.Orchestrated the provisioning of servers and resources using ARM templates and terraform, harnessing infrastructure-as-code principles to automate deployment and ensure uniformity across environments.Executed CI/CD pipelines with Azure DevOps/VSTS to facilitate efficient and dependable deployment of Marathon Petroleum's applications and infrastructure.Used IAC tools like Terraform, ARM templates to build multiple resources in Azure.Leveraged Azure Monitoring tools and Dynatrace for proactive monitoring of Marathon Petroleum's Azure applications, enabling early identification and resolution of potential issues. Streamlined development workflows and minimized manual intervention by automating build and deployment processes with Maven, Jenkins, and Ansible.Seamlessly integrated Marathon Petroleum's Azure applications with third-party systems using Azure integration services, guaranteeing seamless data exchange and interoperability.Designed scalable Azure infrastructure for Marathon Petroleum's applications, adhering to best practices for compliance and security to safeguard sensitive data and ensure regulatory adherence. Established CI/CD pipelines employing PowerShell scripting and automation techniques, optimizing deployment processes, and enhancing operational efficiency.Continuously monitored app performance and fine-tuned using Azure monitoring tools, perpetually enhancing Marathon Petroleum's application performance and user experience.Demonstrated proficiency in GIT, Github and Bitbucket, showcasing expertise in source control concepts including branches, tags, and mergers, fostering effective version control and collaboration within Marathon Petroleum's development teams.Azure Developer & Data EngineerPNC Financial Services, Pittsburgh, Pennsylvania (Jan 2016 Feb 2018)Design and create an Azure-based architecture ensuring high availability, disaster recovery, and compliance with industry regulations.Work on Azure Virtual Machines (VMs), Virtual Networks (VNets), and Network Security Groups (NSGs) to replicate on-premises infrastructure in the cloud, ensuring seamless transition and optimal performance.Built CICD pipelines for deploying resources using IAC tool like ARM template, BICEP and Terraform.Utilize Azure App Service and Azure SQL Database to host web applications and manage database workloads efficiently, ensuring scalability and reliability.Configure Azure Active Directory (AAD) to establish secure user authentication and access control mechanisms, safeguarding sensitive data and resources.Implement Azure Key Vault for the secure storage and management of sensitive data, including encryption keys and certificates, ensuring compliance and data protection.Engineered and maintained Azure-based data pipelines and ETL (Extract, Transform, Load) processes using technologies such as Azure Data Factory, Azure Databricks, and Azure Synapse, ensuring efficient data movement and transformation.Implemented python, bash script for Automation, data manipulation etc.Deploy Azure Monitor and Azure Security Center for continuous monitoring, threat detection, and compliance management, ensuring the security and integrity of the Azure environment.Ensure minimal disruption to banking services by conducting thorough testing and validation of migration processes, guaranteeing a seamless transition to the new Azure-based infrastructure.Build data integration and data pipelines to connect different data sources and systems, ensuring smooth data flow and interoperability between them, enabling effective data-driven decision-making.Implemented industry standard branching strategy using GIT, GitHub, Azure Repos.Built User Journeys using Azure B2C policies and also implemented OIDC, SAML for authentication and authorization.Collaborate with bank stakeholders and IT teams to provide training and support for the new Azure-based infrastructure, ensuring adoption and successful utilization across the organization.AWS Cloud & Devops EngineerMerck & Co., Rahway, New Jersey (Jan 2015 Dec 2015)As an AWS DevOps Engineer with Merck & Co., ensured the availability, performance, security, and scalability of AWS production systems.Utilized AWS services such as EC2, S3, and CloudFormation, along with custom scripts and configurations, to optimize resource allocation, implement robust security measures, and design scalable architectures tailored to Merck & Co.'s dynamic requirements.Employed tools like AWS Elastic Beanstalk and CodeDeploy to facilitate releases, manage configurations, and maintain consistency across environments, ensuring reliability and efficiency.Assessed new technology alternatives and vendor products to enhance Merck & Co.'s AWS ecosystem.Built CICD pipelines for application deployments and used python within pipelines.Used AWS CloudWatch, custom monitoring solutions, and diagnostic tools to seamlessly identify and resolve issues, minimizing downtime and ensuring uninterrupted operations.Used python, Powershell and bash for automation tasks.Leveraged AWS CodePipeline and Selenium to conduct comprehensive testing protocols, validating functionality, performance, and security aspects before deployment, thereby mitigating risks, and ensuring reliability.Strengthened Merck & Co.'s AWS infrastructure against threats and vulnerabilities by implementing IAM policies, security groups, encryption mechanisms, and compliance frameworks.Professional Summary/Educations Details:-BS in Computer ScienceUniversity of South CarolinaFDM DevOps Training Professional Skills SQL (queries, joins, sub-queries) UNIX (loops, functions, parameters) Excel/VBA (pivot charts, data analysis, what if analysis, macros) Microsoft Azure Devops, AWS Kubernetes Ansible, Terraform Agile Project Management, SCRUM Test Driven Development (unit testing) Java (Intro to Java and Eclipse, Syntax, and data types, OOD) Python (Variables and data types, Flow control) Python (OOP, NumPy, Pandas) Jenkins CI/CD pipelines. |
