Meghana Bathula

Sr. DevOps Azure Cloud Engineer

EMAIL: ad3ll5@r.postjobfree.com

PHONE: 260-***-****

LinkedIn url: www.linkedin.com/in/meghana-bathula-114a9a173

Experienced DevOps AWS/Azure Cloud Engineer with Overall of 10years in IT. Specializing in DevOps, AWS Cloud, CI/CD, and Linux. Certified in Azure and AWS. Proficient in AWS/Azure services, scripting, containerization, and orchestration. Skilled in end-to-end SDLC execution, automating deployments, and collaborating with cross-functional teams. Strong in Linux, scripting, and containerization tools.

PROFESSIONAL SUMMARY:

Experienced in identifying and resolving issues related to data connections, visualization rendering, and dashboard performance to ensure a smooth user experience using quick sight.

Developed and managed AWS infrastructure using a wide range of services, resulting in a 30% reduction in infrastructure provisioning time.

Put into action disaster recovery mechanisms using AWS services, ensuring high availability with a 99.9% uptime rate.

Managing and deploying Synapse environments, version control of scripts and configurations, and automating deployment pipelines for Synapse objects.

Led the seamless migration of a legacy system to Azure, elevating scalability and achieving a remarkable 40% improvement in system responsiveness.

Automated code deployment across diverse environments, reducing manual errors by 50% and ensuring consistent releases.

Integrated DevOps tools seamlessly with cloud platforms, resulting in enhanced agility and a 25% reduction in deployment cycles.

Successfully migrated applications to Azure IaaS and PaaS, optimizing resource utilization and reducing hosting costs by 30%.

Proficiently leveraged OpenShift(OCP by Red Hat) alongside build tools such as Maven and Ant to craft deployable artifacts like War and Ear from source code, showcasing expertise in streamlining the application development lifecycle.

Demonstrated adeptness in orchestrating and supervising complex projects within the Docker ecosystem. Effectively navigated diverse environments, harnessing Docker's fundamental features and components like containerization, image creation, networking, volume management, and Docker Compose for streamlined application deployment.

Accomplished seamless migrations of legacy infrastructures to Docker, unlocking enhanced scalability and yielding remarkable improvements of up to 40% in system responsiveness. Leveraged Docker's capabilities to efficiently encapsulate applications and ensure consistent performance across various environments.

Proficiently managed intricate projects in Kubernetes, overseeing diverse environments and leveraging its core features and components such as pod orchestration, service discovery, scaling, rolling updates, and resource management.

Successfully migrated a legacy system to Kubernetes, boosting scalability and achieving a significant 40% enhancement in system responsiveness.

Led complex projects, leveraging Terraform's capabilities for cloud provisioning and resource management.

Transformed traditional infrastructure, achieving a 35% provisioning time reduction.

Mastered multi-cloud provisioning (AWS, Azure, Google Cloud) for optimized, secure networks.

Versioned infrastructure changes for reproducibility and seamless team collaboration.

Optimized resources using modules, enhancing efficiency and maintaining cost-effectiveness.

Prioritized security via IAM, encryption, and regular audits for a robust infrastructure.

Enabled collaborative workflows, integrating Terraform with Git for streamlined teamwork.

Automated testing ensured reliable deployments and minimized errors.

Managed MongoDB, PostgreSQL, Oracle, and MS SQL Server databases, optimizing query performance and achieving a 20% reduction in response times.

Demonstrated proficiency in network protocols like FTP, SSH, HTTP, and HTTPS, ensuring smooth communication across diverse systems.

Familiar with various bug tracking tools like JIRA, Rally, Remedy, HP Quality Center, and Fisheye.

Orchestrated a collaborative and communicative team environment, elevating junior colleagues' technical expertise by 40% through tailored mentorship programs and hands-on guidance, resulting in streamlined project execution and enhanced productivity levels.

Provided expert technical support for AWS and Azure cloud environments, ensuring system reliability and performance.

Collaborated with development teams to troubleshoot and resolve cloud-related issues for seamless application functionality.

Monitored cloud infrastructure, responding to alerts promptly and implementing proactive measures to prevent downtime.

Implemented security best practices, managing IAM roles and policies, and conducting regular security assessments.

Assisted in disaster recovery planning and executed backup strategies, ensuring high availability of critical systems.

Contributed to optimizing cloud costs, utilizing tools like AWS Cost Explorer and Azure Cost Management.

Utilized tools like Kanban boards to visualize work in progress, track tasks, and optimize workflow, enhancing transparency and efficiency.

TECHNICAL SKILLS

Programming & Scripting

Python, Java, Shell, C#

Cloud Environment

AWS, Azure (including Azure DevOps, Azure Repositories, Azure Build and Release Pipelines), OpenShift, Azure Kubernetes Service (AKS), GCP

AWS services

EC2, VPC, RDS, AMI, IAM, S3, Cloudwatch, EBS, Route53.

Containerization Tools

Docker, Kubernetes, Azure Kubernetes Service (AKS), Docker Swarm, Azure Container Instances

Configuration Management Tools

Ansible, Puppet, Terraform

Continuous Integration Tools

Jenkins, Azure DevOps Pipelines

Build & Deployment Tools

Maven, Ant, Gradle, SonarQube

Orchestration & Automation

Jenkins, Terraform, Ansible

Monitoring & Logging

Splunk, CloudWatch, Azure Monitor, Nagios, SonarQube, Dynatrace

Version control tool

GIT, GitHub, GitLab, Bitbucket, Azure Repos, GitBash

Artifactory repositories

Nexus, Artifactory

Repository Management

Artifactory, Azure Repositories

Bug & Issue Tracking Tools

JIRA, ServiceNow, Azure DevOps Services, Remedy

Monitoring Tools

Splunk, Nagios, Grafana, Prometheus, CloudWatch, Azure Monitor, Azure AD

Databases

MySQL, PostgreSQL, MongoDB, Oracle,

Operating Systems

Red Hat, CentOS, Linux, Windows Servers, Ubuntu, VMware

Networking & Security

Azure Networking (DNS, Load balancing, SSL, Firewall), DevSecOps

Frameworks & Platforms

J2EE, Spring, Maven

CERTIFICATIONS

Microsoft Azure Associate Administrator

AWS Associate Developer

Certified Kubernetes Administrator

EDUCATION

Bachelor’s in Computer Science Engineering from Jawaharlal Nehru Technological University

PROFESSIONAL EXPERIENCE

Multi-Cloud DevOps Engineer

Shure, Texas

Aug 2022 – Present

Collaborated with cross-functional teams to optimize Build and Deployment processes across development and production phases in Azure environment, utilizing C# and Java applications.

Developed Jenkins pipelines tailored for various applications, ensuring efficient and reliable delivery in Azure cloud platforms, and integrated SAST, SCA, and DAST scans to the CI/CD workflows to proactively identify and address security vulnerabilities.

Orchestrated Jenkins pipelines to automate the building and packaging of microservices, incorporating Packer and Helm, while integrating SAST, SCA, and DAST scans to ensure the security of the microservices across Azure.

Managed DNS services and domain configurations, ensuring seamless connectivity and accessibility, and integrated Spinnaker for multi-cloud deployment strategies spanning Azure, including CentOS environments, with SAST, SCA, and DAST scans incorporated into the deployment process.

Created Jenkins Utility jobs to facilitate bulk service deployment, streamlining operational efficiency across the Azure environment, with integrated SAST, SCA, and DAST scans to ensure the security of the deployed services.

Generated Ansible templates through Jenkins jobs, simplifying and accelerating infrastructure provisioning in Azure cloud environment.

Designed Ansible playbooks for microservices deployment, establishing consistent and scalable infrastructure setups in Azure platform, with version control managed through Bitbucket.

Provided 24/7 on-call production support across GCP environments to ensure system reliability and responsiveness, extending support to Azure cloud infrastructure.

Monitored system performance using tools like Dynatrace, tailored for GCP, AWS, and Azure, to proactively address potential issues in a multi-cloud environment.

Integrated Azure Monitor for comprehensive monitoring and alerting across the Azure environment, ensuring proactive identification and resolution of potential issues in the cloud infrastructure and applications through metric and log collection, and by setting up alerts and action groups for timely response.

Leveraged Azure Active Directory (Azure AD) for seamless user authentication and Single Sign-On (SSO) access, enhancing security and access management for the optimized build and deployment processes across Azure environment, ensuring secure connectivity and accessibility for the cross-functional teams.

Utilized Azure AD to manage and control access to Azure resources and applications, ensuring a holistic approach to identity and access management, and facilitating efficient coordination and continuous improvement while leveraging Azure capabilities, involving seamless integration with the collaborative tools within the Azure environment.

Successfully served as a Scrum Master, facilitating daily stand-ups, sprint planning, sprint reviews, and retrospectives to ensure efficient team coordination and continuous improvement while leveraging Azure capabilities.

Utilized Groovy scripting within Jenkins jobs and pipeline definitions to streamline and customize provisioning and configuration tasks, enhancing automation and efficiency in Azure cloud environment.

Researched, implemented, and maintained Docker Swarm for advanced container orchestration, ensuring compatibility and scalability across Azure environment.

Automated Azure tasks by integrating Docker and Ansible, increasing operational effectiveness and ensuring seamless deployment workflows.

Swiftly troubleshooted and resolved microservices issues to maintain optimal performance in Azure cloud infrastructures.

Conducted regular performance tuning and optimization of Prometheus configurations to ensure efficient resource utilization and scalability in dynamic multi-cloud environments, utilizing shell scripting for system monitoring and performance optimization.

Implemented Continuous Delivery pipelines utilizing Jenkins, Docker, GitHub, while integrating with Terraform to automate infrastructure deployment and configuration for consistent practices across Azure platform.

Oversaw build results in Jenkins and deployed applications using established workflows, managing deployments across Azure environment.

Implemented disaster recovery techniques and high availability infrastructure design on Azure, ensuring resilience and continuity of services in the cloud environment.

Maintained infrastructure as per PCI Compliance standards, demonstrating expertise in ensuring security and compliance in cloud environments.

Developed automated Ansible modules and playbooks for streamlined infrastructure management, ensuring consistency and efficiency across Azure deployments, in conjunction with Terraform for infrastructure provisioning and management.

Efficiently set up new server instances on Azure configuring security groups and Elastic IPs, maintaining security and compliance standards across both cloud platforms, facilitated by Terraform for infrastructure provisioning and management.

Created, managed, and deployed builds using Ruby (Ansible Playbook) and shell scripting, optimizing deployment processes across Azure environment.

Supported and enhanced the Software Development Life Cycle (SDLC) by deploying web applications through Docker containers in Azure cloud environment.

Successfully employed Red Hat's project management tools and methodologies, including JIRA, SFTP, SSH, HTTP, HTTPS, and CONNECT DIRECT, to optimize project workflows while integrating Nginx for web server functionalities. This strategic approach led to a significant 30% enhancement in task monitoring, team collaboration, and overall project management efficiency across Azure environment.

Environments: AWS, Azure, GCP, CentOS, Jenkins, GitHub, Bitbucket, JIRA, Nginx, Helm, Route 53, Artifactory, Prometheus, Azure AD, Azure Monitor, Maven, Groovy, Docker, Docker Swarm, Terraform, Ansible, C#, Java, Shell scripts, Dynatrace.

Azure DevOps Engineer

London Computer Systems

Apr 2021 – July 2022

Designed and implemented Azure Key Vaults to secure certificates and secrets, enhancing data protection.

Strengthened Azure Network security by configuring inbound and outbound traffic rules.

Integrated Terraform with secrets management solutions like Azure Key Vault to securely store and retrieve sensitive credentials and configuration data required for provisioning resources.

Leveraged Azure CLI for infrastructure automation, streamlining deployment processes.

Monitored Azure resources using Azure App Insights, and Grafana, and managed subscriptions using PowerShell scripts.

Configured and maintained Azure Storage Firewalls and Virtual Networks, ensuring secure data transmission.

Implemented DevSecOps practices by automating security checks across the development lifecycle and utilizing Azure tools for vulnerability detection.

Established Single Sign-On (SSO) access for SaaS applications through Azure Active Directory (AAD), enhancing user authentication.

Utilized Azure Key Vault to securely store and retrieve sensitive credentials and configuration data required for provisioning resources, enhancing data protection and ensuring secure access control.

Deployed Azure VPN Gateway to further strengthen Azure network security by enabling secure, encrypted communications between the Azure environment and external networks, providing secure data transmission and secure connectivity to on-premises and other cloud-based resources.

Orchestrated migration and re-platforming of applications using OpenShift developed by red hat, resulting in improved scalability and performance.

Managed containerized applications using Azure Kubernetes Service (AKS), optimizing application performance.

Deployed and configured Istio service mesh to enhance microservices communication, security, and observability within a containerized environment.

Integrated AKS into end-to-end CI/CD pipelines, enhancing the efficiency of DevOps workflows.

Developed and integrated Terraform templates for automating Azure IAAS VMs and VMSS delivery.

Utilized Azure Kubernetes Service (AKS) in Continuous Integration and Continuous Delivery (CI/CD) pipelines with Azure DevOps, Docker, and Helm, further enhanced by the use of Python and Maven for efficient build automation and project management.

Implemented and configured Nagios for infrastructure monitoring and event management, ensuring proactive issue detection and resolution within the Azure environment, while also utilizing Splunk and ELK Stack for log management, analysis, and monitoring for effective troubleshooting and issue resolution.

Integrated Docker container-based testing into Jenkins CI flow, collaborating with GIT and JIRA for efficient builds.

Highlight any customizations or extensions made to Istio to meet specific project requirements or to enhance its functionality.

Orchestrated the integration of Dynatrace into end-to-end CI/CD pipelines, streamlining DevOps workflows and promoting the efficiency of continuous delivery processes.

Utilized Dynatrace to enhance communication, security, and observability within a containerized environment by integrating with Istio service mesh and Kubernetes clusters.

Used Kubernetes as a open source platform for automating deployment, scaling and operations of applications containers across clusters of hosts, providing container centric infrastructure.

Expertise in automating deployments, scaling, and operations of application containers across clusters of hosts, provided container-centric infrastructure by Kubernetes. Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, created Pods and managed using Kubernetes.

Containerize applications and services using Docker, CoreOS, and Virtualization technologies, implementing all necessary tooling to support the products and automated deployments, scaling, and operations of application containers across clusters of hosts, provided container-centric infrastructure by Kubernetes.

Implemented DevSecOps practices by automating security checks across the development lifecycle and utilizing Azure tools for vulnerability detection, alongside ELK stack for log management and analysis.

Executed CI/CD pipelines in Jenkins for Continuous Integration and Continuous Delivery, ensuring smooth application deployment.

Orchestrated Kubernetes clusters for efficient application deployment, scaling, and management, utilizing Nexus for artifact repository management and ensuring reliable access to dependencies during the deployment process, with proficiency in Linux and Windows for seamless orchestration and maintenance of the infrastructure and using GitHub for version control and streamlined collaboration.

Integrated Istio with external services and APIs to secure and monitor interactions beyond the Kubernetes cluster, extending the benefits of Istio's service mesh to external dependencies.

Configured Splunk for monitoring server application logs, enabling timely issue detection, in conjunction with Prometheus for advanced monitoring and alerting within the microservices environment.

Standardized server application images using Packer to ensure consistency across instances. This standardization simplified Splunk configuration for monitoring server application logs, enabling proactive issue detection and resolution, integrated with Oracle for database management and optimization.

Pioneered the establishment of a collaborative and transparent team environment within the framework of Red Hat Enterprise.

Integrated JIRA with GIT repositories and implemented Azure Boards for effective issue tracking and project management, optimizing project workflows by integrating ServiceNow with Azure DevOps and other tools for streamlined IT service management and issue resolution.

Integrated Terraform with version control systems (e.g., Git) and established versioning best practices to track changes and promote collaboration among team members.

Embraced changing requirements by adjusting sprint plans and priorities based on evolving project needs, fostering a responsive and customer-centric approach supported by proficiency in Java, Linux, and Windows environments, ensuring adaptability and optimal responsiveness to project needs.

Environment: Git, Azure, Azure DevOps, AKS, Jenkins, Grafana, Azure VPN, Azure key Vaults, Nexus, JIRA, Oracle, Dynatrace, Terraform, OpenShift, Kubernetes, Prometheus, Python, Maven, Java, GitHub, Linux, ELK, Windows, Splunk, PowerShell, Shell Scripts, Docker, ServiceNow

AWS DevOps Engineer

Kohl's Digital, Wichita

Oct 2020 – Mar 2021

Spearheaded the implementation of Continuous Integration (CI) and Continuous Delivery (CD) processes across various environments, including development, Quality Analysis, staging, and production, with a strong focus on Jenkins for pipeline orchestration, in conjunction with Git, GitHub and SVN for version control and collaborative software development.

Swiftly resolved build issues during Jenkins processes by collaborating closely with developers, ensuring smooth development and deployment workflows on AWS infrastructure.

Managed end-to-end server engineering on Red Hat Enterprise Linux servers running on AWS EC2 instances, utilizing Linux, Shell scripting, and Nagios for efficient system administration and task automation.

Orchestrated storage solutions on AWS, utilizing EBS, S3, and Glacier for efficient data synchronization and storage management, in conjunction with ELK Stack and Splunk for log management and analysis.

Utilized Istio's fault injection capabilities to simulate real-world failures in a controlled environment, enabling comprehensive testing of service resilience and error-handling mechanisms, complemented by the use of Kubernetes (EKS) for container orchestration and management.

Successfully executed a complex Big Data ETL streaming pipeline for seamless migration of transactional data to AWS Cloud, utilizing Python for data processing and transformation tasks within the AWS environment.

Utilized AWS Kinesis Event Streaming Platform, Stream sets, and AWS EMR for data movement and processing.

Configured Elastic Beanstalk for streamlined application deployment and testing processes, enhancing developer productivity, and utilized AWS Lambda for serverless computing and automation of various DevOps tasks.

Orchestrated multi-cluster deployments with Istio, enabling seamless communication and load balancing across geographically distributed microservices, enhancing availability and fault tolerance.

Designed and implemented robust security measures tailored to specific project requirements, integrating AWS Security Hub and AWS Guard Duty for threat detection and response, complemented by expertise in AWS, Linux, Shell scripting, and Python for enhanced security automation and threat response within the AWS environment.

Developed and implemented a comprehensive Continuous Integration (CI) system, configuring Jenkins servers, nodes, and scripts (Perl & Python), and setting up VMs (Windows/Linux) on AWS EC2 instances.

Automated deployments on AWS using IAM roles, policies, and Jenkins-AWS integration with EC2 instances, further enhanced by Ansible for configuration management and automation of infrastructure provisioning and management tasks.

Leveraged Jenkins for continuous integration in a Master-Slave Architecture, conducting builds on remote RHEL servers hosted on AWS infrastructure.

Installed and configured Docker using Docker Toolbox and established Kubernetes (EKS) for effective container orchestration.

Configured auto-scaling policies for EKS worker nodes based on metrics like CPU utilization and memory usage in AWS, ensuring dynamic resource allocation based on demand.

Environment: Git, Ansible, Docker, Kubernetes (EKS), Nagios, S3, EBS,Splunk, Linux, Shell scripting, Python, GitHub, SVN, RHEL, AWS Lambda, and ELK Stack for various DevOps tasks and automation.

DevOps Engineer

Fiserv, New Jersey

Feb 2018 – Sep 2020

Spearheaded DevOps migration and automation initiatives, optimizing build and deployment systems for enhanced efficiency, and advised and guided clients on best practices for effective Build and Release Management Implementation, leveraging Java, Maven, ANT, Gradle, Groovy, GIT, and SVN for version control and collaborative software development.

Orchestrated AWS infrastructure components including VPC, EC2, RDS, IAM, Security Groups, using Cloud Formation templates, while also managing the deployment of EC2 instances across diverse Linux and Windows platforms within AWS, and implementing security measures for EKS clusters, leveraging Ruby and Splunk for efficient monitoring and logging solutions.

Advised and guided clients on best practices for effective Build and Release Management Implementation.

Played a crucial role in resolving Source Code Management (SCM) and build issues, including merge conflicts, compilation errors, and missing dependencies.

Ensured smooth development processes by swiftly addressing technical challenges.

Utilized Ansible playbooks, Puppet, and scripting languages (Python, Perl, and shell) to automate processes, ensuring consistency and adherence to organizational policies, alongside Jenkins for continuous integration and continuous delivery solutions.

Leveraged Ansible, Python, Perl, and shell scripting to automate processes, ensuring consistency and adherence to organizational policies.

Collaborated within an agile development team to deliver comprehensive Continuous Integration and Continuous Delivery (CI/CD) solutions.

Employed tools like Puppet, Jenkins and Terraform to establish end-to-end CI/CD pipelines, enhancing software delivery.

Developed Puppet manifests and modules for automated deployment, seamlessly integrating them with Jenkins to enable Continuous Deployment (CD).

Streamlined application deployment processes for consistent and reliable results.

Configured and monitored multi-platform servers, ensuring their stability and efficient operations.

Maintained a robust server environment to support development and deployment activities.

Set up AWS infrastructure components including VPC, EC2, RDS, IAM, Security Groups, using Cloud Formation templates.

Managed the deployment of EC2 instances across diverse Linux and Windows platforms within AWS.

Implemented security measures for EKS clusters, including network policies, IAM roles, and VPC configurations, to enhance isolation and protect sensitive workloads.

Created and managed Continuous Integration and Continuous Deployment (CI/CD) processes, orchestrating deployments using Jenkins/Hudson and GitHub.

Proficiently executed Blue/Green and Canary deployments to minimize downtime and reduce deployment risks.

Developed and documented deployment strategies that contributed to seamless releases and enforced code quality and security through plugins such as SonarQube, Bugzilla, and JMeter, ensuring robust and reliable software lifecycle, and setting up monitoring and logging solutions within EKS using tools like CloudWatch and Fluentd

Enforced code coverage and quality through plugins such as FindBugs, Checkstyle, and Maven/Hudson.

Conducted Security Scans, tracked defects, and reported issues using tools like SonarQube, Bugzilla, and JMeter.

Ensured code quality and security in releases, contributing to a robust and reliable software lifecycle.

Set up monitoring and logging solutions within EKS using tools like CloudWatch Fluentd, and Terraform enabling real-time visibility into cluster health and application performance.

Environment: Java, Maven, ANT, Gradle, Groovy, GIT, SVN, Terraform, Puppet, Jenkins, Ruby, Splunk, JMeter, Tomcat, SonarQube, Bugzilla, Shell and Perl Scripts, Ansible, PowerShell

Reliance Industries, Mumbai, India

Nov 2012 – Dec 2016

Role: Linux Administrator

Administered a range of Red Hat versions (3.0 to 6.0 AS/ES), efficiently troubleshooting hardware, OS applications, network issues, and performance challenges, and ensured seamless system operation by swiftly resolving issues and maintaining optimal performance levels in both Windows and Linux environments.

Deployed Linux and application server patches, contributing to system security and performance enhancement, and leveraged Red Hat Linux Kernel tuning techniques to optimize system performance and responsiveness, utilizing knowledge of Java, .NET, and Ruby development technologies.

Installed and configured Sendmail and Postfix mail servers, facilitating efficient email communication for users and managed mail server operations to ensure reliable email delivery and reception, proficiently managing Apache Tomcat application server for effective deployment and management of web applications.

Managed Virtualization using VMware and Linux, ensuring the effective setup and management of virtual environments, optimizing resource utilization and maintaining the stability of virtualized systems, and designed and implemented robust package and patch management strategies, enhancing system stability and security within diverse database environments including Oracle, DB2, and MS SQL Server.

Developed Linux System Imager and Shell scripts to automate maintenance tasks and streamline system management, improving operational efficiency through automation of routine processes, and employed Subversion for version control for continuous integration, enhancing the reliability and consistency of software builds and deployments.

Environment: Subversion, .NET, Apache Tomcat, Red Hat, Eclipse, Oracle, DB2 MS SQL Server, Java, Ruby, Shell, Windows, VMware, Linux

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