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Bharathi - AWS DevOps Engineer

[email protected]

Location: Millersburg, Pennsylvania, USA

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BHARATHI E-mail: [email protected] |+1 (717) 441-5444 Experienced Platform Engineer and SRE with 10+ years of expertise in AWS Cloud, DevOps practices, and Kubernetes administration. Proficient in building scalable, highly available, and secure infrastructure, automating CI/CD pipelines, and managing production environments. Skilled in monitoring, troubleshooting, and optimizing cloud-based solutions to drive operational efficiency. Architected and managed scalable, fault-tolerant AWS environments for high-availability applications, leveraging services like EC2, RDS, S3, VPC, Lambda, API Gateway, SNS, SQS, WAF, Route 53, CloudWatch, CloudTrail. Worked on different compliance requirements like AWS CIS Benchmark, PCI, GDPR on cloud providers. Designed and implemented CI/CD pipelines for infrastructure and application deployments using Terraform, Jenkins, GitHub Actions, and GitLab CI/CD, reducing deployment time. Developed and maintained Infrastructure as Code (IaC) using Terraform, automating the provisioning of cloud resources across multiple AWS accounts and regions. Optimized container orchestration by managing workloads in AWS EKS, Azure AKS, leveraging Helm charts and Kubernetes operators for scalable deployments. C Designed and deployed batch and real-time data processing workflows using Spark Streaming. Integrated Databricks with Apache Spark, Kafka, and cloud storage for seamless data workflows... Designed networking architectures with VPC, security groups, service meshes, and load balancers, ensuring secure, scalable, and high-performance cloud networking. Developed and automated CI/CD pipelines for Databricks notebooks using GitHub/GitLab integration. Designed and deployed Kubernetes (K8s) clusters with Envoy as a service proxy for traffic management, API gateway functionalities, and security enforcement in microservices architectures. Integrated security best practices into the CI/CD pipelines, implementing DevOps strategies that include vulnerability scanning, secret management, and automated compliance checks. tegrated Spark with Hadoop, Kafka, and other big data technologies for end-to-end ETL and analytics solution Designed and implemented end-to-end monitoring solutions using Datadog, including dashboards, alerts, and anomaly detection for cloud-based and on-premises environments. Managed Kubernetes infrastructure with a focus on performance optimization, security, and scalability, supporting microservices-based applications. Strengthened CI/CD pipelines by integrating Jenkins, GitHub Actions, and GitLab CI/CD, enabling automated testing, security scans, and zero-downtime deployments. Experienced in ArgoCD for GitOps and Leveraged ArgoCD for continuous delivery of Kubernetes applications, ensuring automated, declarative deployments and rollbacks. Implemented automated testing, security scanning, and deployment triggers in GitHub Actions pipelines. Technical Skills: Cloud AWS, MS Azure Containerization and Orchestration Docker, Kubernetes, Helm Charts and OpenShift CICD and Build Tools Jenkins, Jenkins, GitHub Actions, GitLab CI, Maven, Gradle, Node, Xcode Automation Tools IaC Ansible and Terraform, Cloud Formation Scripting Languages Shell Script, Groovy, Python, Go, Json and YAML Database MySQL, MongoDB, Postgres, RDS, Cassandra, Redis Application Servers TOMCAT, NGINX, JBoss and Apache Web Server. Monitoring, alerting and Logging Prometheus, New Relic, Grafana, CloudWatch, Nagios, ELK, Datadog, Azure Monitor. APM Tracking Tools and messesing tool JIRA, ServiceNow, RabbitMQ, OS Red Hat Linux, CentOS 7 & 8, Ubuntu, Windows Server 2003, 2008, 2012, VMware ESX and Mac OS. Version Control Git, TFS, SVN Professional Experience Equifax |Philadelphia PA SRE & Cloud Operations Engineer 02/2024 - Current Designed and implemented scalable Azure infrastructure leveraging IaaS, PaaS, and serverless services to ensure high availability, cost optimization, and performance across multiple applications. Implemented and managed Azure Virtual Network (VNet) peering, subnet configurations, and Network Security Groups (NSGs) for securing and isolating cloud resources in different environments. Automated the provisioning of cloud resources using Terraform, Azure Resource Manager (ARM) templates, and Ansible to enable consistent, repeatable infrastructure deployments. Integrated Azure Active Directory (AAD) for centralized identity and access management across applications and resources. Implemented and optimized Azure Kubernetes Service (AKS) for containerized application management, improving scalability and performance of microservices-based applications. Set up and configured Azure Load Balancer and Application Gateway for application traffic distribution and optimal load balancing across multiple services, ensuring high availability and failover. Configured Azure Key Vault to securely manage and store application secrets, certificates, and keys, enhancing security and compliance. Automated build and deployment processes using Azure DevOps Services and GitHub Actions for continuous integration and continuous delivery (CI/CD) pipelines across Azure environments. Monitored and optimized cloud resources by leveraging Azure Monitor, Application Insights, and Log Analytics, providing real-time insights and proactive issue resolution for application and infrastructure performance. Implemented Azure Event Grid and Azure Service Bus for event-driven architectures, ensuring seamless communication between microservices and real-time event handling. Deployed and configured Azure Redis Cache for high-performance, low latency caching solutions, improving application response times. Integrated Azure Security Center for continuous security monitoring and vulnerability assessment, ensuring cloud resources meet security compliance standards. Worked on cloud migration projects to move on-premises workloads to Azure, ensuring minimal downtime and smooth transition. Built and managed Azure Data Factory pipelines for automated data ingestion, transformation, and ETL processes across Azure storage and data lakes. Integrated third-party tools like JFrog Artifactory and SonarQube for better artifact management and code quality checks across development pipelines. Utilized Azure DevOps Repos for version control and Git-based workflows to support collaborative software development and deployment pipelines. Implemented and maintained infrastructure health checks, ensuring resources are properly monitored and auto-healing strategies are in place for mission-critical applications. Implemented Azure Monitor to collect and analyze telemetry data for proactive monitoring of Azure resources and applications. Utilized Azure Application Insights to track application performance, errors, and user interactions for enhanced monitoring and diagnostics. Integrated Prometheus and Grafana for time-series data collection and visualizing real-time performance metrics in Kubernetes environments. Deployed ELK Stack (Elasticsearch, Logstash, Kibana) for centralized logging, real-time log analysis, and creating custom dashboards for troubleshooting. Used Datadog to monitor infrastructure and application health, providing full-stack observability with APM, logs, and metrics. McDonalds |Capgemini DevOps Engineer 03/2018 - 02/2024 Architected and deployed scalable, fault-tolerant applications on AWS using Terraform for Infrastructure as Code (IaC), ensuring repeatable and consistent environment provisioning. chitected and deployed scalable, fault-tolerant applications on AWS using Terraform for Infrastructure as Code (IaC), ensuring repeatable and consistent environment provisioning. Designed and implemented a multi-region AWS infrastructure with VPC, RDS, WAF, API Gateway, Lambda, ECS, and Fargate, ensuring high availability, fault tolerance, and disaster recovery. Led the migration from Jenkins to GitHub Actions, optimizing CI/CD pipelines and integrating with AWS services for faster, more reliable deployments. Built and maintained CI/CD pipelines using Jenkins, GitLab CI/CD, and GitHub Actions, streamlining deployments across AWS environments. Automated infrastructure provisioning with Terraform and AWS CloudFormation, creating reusable modules and templates for consistent deployments across multiple environments. Administered and optimized Kubernetes clusters on AWS EKS, ensuring seamless orchestration and scaling of microservices-based applications. Developed and deployed serverless applications using AWS Lambda, API Gateway, and EventBridge for event-driven architectures. Monitored system performance and application health using Prometheus, Grafana, ELK Stack, and AWS CloudWatch, optimizing for uptime and reliability. Implemented robust disaster recovery and backup strategies across AWS services to ensure business continuity. Automated the deployment and scaling of containerized applications using ECS and Fargate, ensuring seamless operations across multiple AWS regions. Designed and implemented API Gateway configurations for secure, scalable, and highly available APIs integrated with Lambda functions for serverless processing. Configured Kubernetes auto-scaling on AWS to handle spikes in AI workloads, minimizing latency. Automated Helm chart updates for quick adaptation to new model versions or changes in production pipelines. Integrated automated testing frameworks into CI/CD pipelines, enhancing code quality and reducing model validation time for AI and data science models. Developed custom CI/CD workflows to incorporate model versioning and validation checks, ensuring reliable deployments of AI and data science models. Infosys | British Telecom DevOps consultant 03/2017 - 03/2018 Integrated automated testing frameworks into CI/CD pipelines, enhancing code quality and reducing model validation time for AI and data science models. Developed custom CI/CD workflows to incorporate model versioning and validation checks, ensuring reliable deployments of AI and data science models. Installed Bamboo and performed troubleshooting during installation to implement the CI process for the Java application builds and setting up and configuring Bamboo, created Jobs for automating build and deploy activities. Migrated from Bamboo worked and on Jenkins for continuous integration and for End-to-End automation for all build and deployments. Implemented continuous integration using Jenkins master and slave configuration. Configured security to Jenkins and added multiple nodes for continuous deployments. Set up Jenkins server and build jobs to provide Continuous Automated builds based on polling the Git source control system during the day and periodic scheduled builds overnight to support development needs using Jenkins, Git, and Ant. Scheduled the Linux Cron jobs and Jenkins jobs for build automation. Developed Perl and shell scripts for automation of the build and release process & to perform deployments to JBoss and Tomcat Web servers. Designed and managed Build and Release cycle activities in Agile Methodologies. Developed build and deployment processes for Pre-production environments. Managed Sonar type Nexus an enterprise-level package management server. Designed and scripting using ANT for J2EE, Web Services, Reusable JARS, Web Client and Open Source in creating Master build.xml build Properties & pom.xml files and provided technical support to the development team for compilation problems. Maintained build related scripts developed in ANT and Shell. Modified build configuration files including Ant build.xml and created and maintained Subversion repositories, branches and tags and Experience in Administering SVN. Configuration and administration of LDAP, NFS and NIS in Linux and implemented Samba for sharing of resources between Linux and Windows environments. Used MySQL, DynamoDB and Elastic Cache to perform basic database administration build and JIRA for the collaboration tool. LTI |Apple Linux support engineer 01/2014 - 07/2017 Build and Installed PXE boot server, DHCP server, Kickstart and XCAT server to automatically load OS on test machines in the LAB environment. Setup of full networking services and protocols on UNIX, including NIS/NFS, DNS, SSH, DHCP, NIDS, TCP/IP, ARP, applications and print servers to insure optimal networking, application, and printing functionality. Provided systems administration support to Linux systems including server and workstation upgrades, backup and disaster recovery, monitoring, user account setup. As a Linux Administrator, got involved in designing, shell scripting, supporting Oracle databases, and troubleshooting RHEL Linux / Oracle Linux servers. Resolving TCP/IP network access problems for the clients. Develop, Maintain, update various scripts for services (start, stop, restart, recycle, Cron jobs) UNIX based shell. Managing systems routine backup, scheduling jobs like disabling and enabling Cron jobs, enabling system logging, network logging of servers for maintenance, performance tuning, testing. Developed utilities in Perl, including templates and configurations for Nagios, PRTG, and basic system configurations. Wrote custom plugins for Nagios. Collaborated with developers and QA teams to troubleshoot issues, optimize performance, and ensure successful deployment and testing of web applications in production environments. Performed load testing on web applications, identifying performance bottlenecks, and optimizing infrastructure and application settings to handle peak traffic efficiently. Education Bachelors ( B-Tech) From Sri Venkateshwara University Tirupathi. Certifications AWS DevOps Engineer: Continuous Delivery and Automation AWS DevOps Engineer: Continuous Delivery and Automation PluralsightIssued Apr 2020 Honors & awards Star Award Issued by Capgemini Mar 2019 Influencing Team Award Influencing Team Award Issued by McDonalds Jun 2019 Keywords: cprogramm continuous integration continuous deployment quality analyst artificial intelligence sthree golang microsoft Pennsylvania