Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic
Prudhvidhar

Prudhvidhar

Dallas,TX

Summary

Experienced professional cloud engineer with expertise in designing, implementing, and managing scalable cloud infrastructures. Demonstrates a strong command of cloud platforms, automation, and DevOps practices for efficient and reliable operations. Recognized for fostering team collaboration and consistently delivering impactful results, seamlessly adapting to changing project needs and technical challenges. Highly skilled in troubleshooting, performance optimization, and security management, driving successful project outcomes.

Overview

10
10
years of professional experience
1
1
Certification

Work History

Lead Cloud Engineer

Wells Fargo
02.2023 - Current
  • Automated cloud infrastructure provisioning and configuration using Terraform, CloudFormation, and Ansible, ensuring scalability and reliability across multiple environments
  • Designed and maintained CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps, reducing deployment time by 60% and ensuring smooth application rollouts
  • Deployed and managed Kubernetes clusters (EKS, AKS, OpenShift), implementing Helm charts for consistent application deployments
  • Built and optimized containerized applications using Docker, Kubernetes, and Istio, ensuring seamless microservices orchestration
  • Developed and automated Terraform modules for AWS (EC2, S3, RDS, IAM, VPC, Lambda, DynamoDB), ensuring multi-region deployments
  • Integrated Prometheus, Grafana, Splunk, and ELK Stack for real-time monitoring and logging, enhancing observability and troubleshooting
  • Automated security compliance checks using AWS Config, AWS WAF, IAM policies, Security Groups, and KMS encryption, ensuring adherence to SOC2 and NIST standards
  • Implemented AWS Secrets Manager, HashiCorp Vault, and CyberArk for secure credential management across DevOps pipelines
  • Optimized AWS networking with VPC, Route 53, Transit Gateway, NAT Gateway, Load Balancers (ALB, NLB, ELB), and Direct Connect, ensuring low latency and high availability
  • Led disaster recovery and backup strategies, implementing cross-region S3 replication, RDS snapshots, and DynamoDB PITR to ensure business continuity
  • Developed Python and Bash scripts for automation of cloud resource provisioning, monitoring, and data pipeline execution
  • Implemented Infrastructure as Code (IaC) governance policies using Terraform Sentinel, AWS Config, and Azure Policy for compliance
  • Migrated on-premises applications to AWS and Azure, leveraging CloudFormation, Terraform, and Kubernetesfor infrastructure automation
  • Built and optimized big data pipelines using Apache Spark, Databricks, Kafka, and AWS Glue, improving ETL performance for large-scale data processing
  • Integrated AWS Lambda, EventBridge, and Step Functions to automate event-driven workflows and microservices orchestration
  • Configured Nagios, Splunk ITSI, and CloudWatch alarms to proactively detect performance issues and reduce MTTR
  • Designed multi-cloud strategies for AWS, Azure, and GCP, leveraging Terraform and Kubernetes Federation for cross-cloud workloads
  • Secured CI/CD pipelines using SonarQube, Veracode, Aqua Security, Prisma Cloud, and Checkmarx, implementing SAST, DAST, and container security best practices
  • Automated database provisioning, schema migrations, and backup management for Aurora PostgreSQL, DynamoDB, and MongoDB using Terraform, Ansible, and AWS Data Pipeline
  • Collaborated with security teams to conduct AWS Well-Architected Reviews, ensuring compliance with HIPAA, PCI-DSS, and GDPR security frameworks
  • Improved cost optimization strategies, reducing cloud expenses by 25% through rightsizing, auto-scaling, and reserved instances
  • Conducted knowledge-sharing sessions on Kubernetes, Terraform, and CI/CD best practices for junior engineers and cross-functional teams.

Senior DevOps Engineer/Cloud Engineer

DTCC
10.2021 - 01.2023
  • Automated infrastructure provisioning and configuration management using Terraform modules, enabling consistent multi-region deployments
  • Automated multi-environment infrastructure provisioning using Terraform modules, ensuring consistency and scalability
  • Designed and maintained CI/CD pipelines for application delivery using Jenkins and GitLab
  • Implemented real-time monitoring and alerting systems with Prometheus and Grafana for cloud resources
  • Developed Python scripts to automate log aggregation and analysis for proactive issue detection
  • Deployed and managed Kubernetes clusters, ensuring high availability for containerized applications
  • Optimized AWS infrastructure costs by implementing auto-scaling and resource tagging strategies
  • Designed backup and disaster recovery solutions using RDS snapshots and cross-region replication
  • Configured IAM policies and Security Groups to enforce fine-grained access control
  • Established CloudWatch alarms to monitor critical metrics and reduce system downtime
  • Created reusable Terraform modules for VPC, EC2, and S3, improving deployment efficiency
  • Migrated legacy applications to a microservices architecture using Docker and Kubernetes
  • Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process
  • Developed Python Modules for Ansible Customizations
  • Collaborated with cross-functional teams to define and implement infrastructure as code best practices
  • Automated configuration management tasks using Ansible playbooks, reducing manual efforts
  • Supported database optimization for Aurora PostgreSQL, improving query performance
  • Conducted security audits and applied patches to mitigate vulnerabilities in cloud environments
  • Deployed serverless workflows using AWS Lambda and integrated them with DynamoDB streams
  • Created detailed technical documentation for deployment pipelines and Terraform modules
  • Conducted knowledge-sharing sessions on Kubernetes and cloud automation best practices
  • Streamlined CI/CD workflows by integrating static code analysis tools
  • Improved operational efficiency by automating routine maintenance tasks using Python scripts
  • Integrated security tools like Veracode and SonarQube into CI/CD pipelines using GitLab and Jenkins, ensuring real-time vulnerability detection
  • Conducted Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) for web applications and APIs
  • Secured containerized environments with Kubernetes, OpenShift, and Aqua Security, ensuring compliance with container security standards
  • Assessed and mitigated vulnerabilities in open-source libraries using Sonatype Nexus, prioritizing remediation strategies
  • Conducted risk assessments for AWS cloud environments, ensuring adherence to the AWS Well-Architected Framework
  • Led security reviews of API architectures, implementing robust authentication and authorization mechanisms
  • Configured Jenkins pipelines for automated vulnerability scanning and secure deployments
  • Trained development teams on secure coding practices and integrated security into the SDLC lifecycle
  • Designed and implemented threat modeling for high-risk applications, identifying and mitigating potential vulnerabilities
  • Evaluated container baseline images for security compliance and operational efficiency
  • Performed manual penetration testing for business-critical applications, uncovering and mitigating exploitable vulnerabilities
  • Delivered detailed security findings and risk mitigation strategies to stakeholders, enabling informed decision-making
  • Automated the remediation of container vulnerabilities using Prisma and custom Python scripts
  • Supported global teams in implementing cloud-based DevSecOps processes and aligning with business requirements
  • Conducted incident response and troubleshooting for container and cloud security issues, ensuring minimal downtime
  • Collaborated with cross-functional teams to promote a security-first mindset and improve overall application security
  • Developed secure coding frameworks for Java and Python applications, reducing vulnerability occurrences
  • Skills: AWS, Terraform, CloudFormation, Jenkins, GitLab, Python, Shell, Aurora PostgreSQL, DynamoDB, Prometheus, Grafana, ELK Stack, CloudWatch, Ansible, Chef, Istio, Helm, kube-proxy, CoreDNS, IAM roles, Security Groups, VPC Networking, GitHub, GitLab, Terraform Sentinel

DevOps Engineer/Cloud Engineer

Lowe’s
02.2020 - 08.2021
  • Automated database provisioning in AWS using Terraform modules and Python scripts, ensuring consistent deployments
  • Automated multi-region deployments using Terraform and CloudFormation templates
  • Implemented monitoring dashboards in Grafana for real-time visibility into infrastructure performance
  • Designed and optimized CI/CD workflows using Jenkins, reducing deployment time
  • Migrated on-premise workloads to AWS, ensuring a seamless transition with zero downtime
  • Configured S3 buckets with lifecycle policies to optimize storage costs and meet retention requirements
  • Enhanced application security by automating IAM role and policy management using Terraform
  • Developed Helm charts for Kubernetes application deployment, ensuring consistency across environments
  • Automated daily backup processes for DynamoDB and Aurora databases using Python scripts
  • Designed disaster recovery strategies with cross-region replication for critical AWS resources
  • Integrated AWS Secrets Manager for secure application credential management
  • Worked with developers to optimize database schema design and improve query efficiency
  • Managed application deployments in Kubernetes clusters, ensuring high availability
  • Automated resource provisioning using Ansible playbooks for consistent configurations
  • Collaborated on the development of big data pipelines using Apache Spark and Databricks
  • Monitored system health using CloudWatch metrics, reducing incident response times
  • Built custom Python scripts for automation of routine cloud management tasks
  • Established cross-functional standards for Terraform usage, improving team productivity
  • Conducted load testing on applications and optimized auto-scaling policies for AWS resources
  • Configured Elastic Load Balancers (ELB) to distribute traffic efficiently
  • Set up CI/CD pipelines for containerized applications deployed in Kubernetes
  • Improved version control practices using Git branching strategies
  • Automated schema migrations using Terraform and AWS RDS Data API
  • Conducted compliance checks using Terraform Sentinel policies
  • Reduced operational costs by analyzing and resizing underutilized resources
  • Coordinated efforts with security teams to ensure regulatory compliance
  • Configured DNS management using Route53 to optimize application routing
  • Integrated Prometheus with Kubernetes for proactive monitoring of application metrics
  • Conducted training sessions for teams on Terraform and Kubernetes usage
  • Automated log file processing with AWS Lambda and CloudWatch logs
  • Created and maintained robust technical documentation for cloud processes
  • Designed and deployed secure CI/CD pipelines with GitHub Actions and Jenkins, integrating tools like SonarQube and Veracode
  • Conducted API security assessments, leveraging OWASP guidelines to identify and mitigate vulnerabilities
  • Secured cloud environments in AWS using Terraform and adhered to the AWS Well-Architected Framework
  • Automated vulnerability scanning and patching processes for Docker containers and Kubernetes clusters
  • Performed Software Composition Analysis (SCA) using Sonatype Nexus to identify and address open-source vulnerabilities
  • Deployed and maintained container security tools, including OpenShift and Prisma, for dynamic monitoring and compliance
  • Assisted in ethical hacking exercises to uncover security gaps and validate existing defenses
  • Conducted risk assessments for web applications, preparing detailed remediation plans for high-priority vulnerabilities
  • Developed and enforced secure coding practices across teams, delivering training sessions on OWASP Top 10
  • Integrated DAST tools into pipelines, providing continuous feedback on application vulnerabilities
  • Built secure cloud infrastructures for development and production using Terraform and Kubernetes
  • Collaborated with teams to design security-focused solutions for cloud-native applications, ensuring best practices
  • Prepared security dashboards using Prometheus and Grafana for real-time visibility into system health and vulnerabilities
  • Conducted code reviews to enforce security standards and improve code quality
  • Configured Jenkins pipelines for automated container image validation, ensuring secure baseline images
  • Designed and implemented role-based access controls (RBAC) for Kubernetes and cloud environments
  • Promoted DevSecOps practices by developing security playbooks and standard operating procedures
  • Skills: AWS, Terraform, Jenkins, GitLab CI, Python, Shell, RDS, DynamoDB, S3, CloudWatch, Grafana, Ansible, VPC, Subnetting, NAT Gateway, IAM policies, Security Groups, CodePipeline, CodeDeploy, JFrog Artifactory

DevOps Engineer/Cloud Engineer

Verizon
03.2017 - 01.2020
  • Proficient in writing Terraform code to build the AWS services with the paradigm of Infrastructure as Code
  • Involved in designing and deploying Amazon EC2, S3, RDS, ELB, ASG, Lambda, DynamoDB, Route53, and other services of the AWS infrastructure
  • Deployed and managed Kubernetes clusters on AWS, configuring and tuning Istio, kube-proxy, and CoreDNS for optimal performance
  • Ensured robust AWS networking and security configurations, including VPC, subnetting, security groups, and IAM roles
  • Managed and optimized Kubernetes clusters, ensuring high availability and performance of CNI, kubelet, kube-proxy, and CoreDNS components
  • Managed and optimized cloud environments using Ansible for automated configuration management and deployment
  • Integrated monitoring and logging solutions with Prometheus, Grafana, and ELK stack, improving system observability
  • Implemented service mesh using Istio, enhancing microservices communication and security
  • Ensured robust security practices by managing IAM policies, roles, and network security configurations on AWS
  • Implemented a production-ready, load-balanced, highly available, fault-tolerant, auto-scaling Kubernetes infrastructure and microservice container orchestration
  • Developed custom Helm charts for deploying applications on Kubernetes clusters, standardizing deployment processes
  • Managed and scaled AWS resources, including EC2 instances, RDS databases, and S3 buckets, to support Lambda-based applications
  • Created IAM Roles for various AWS Services like EC2, Auto Scaling, ELB, etc
  • Experience in configuration of network architecture on AWS with VPC, Subnets, Internet Gateway, NAT, Route Table, VPC Peering, Endpoint, and Transit Gateway
  • Installed, configured, maintained, and supported LogicNets CGI app running on various geographic locations on AWSand Azure Cloud Infrastructures
  • Assisted in the implementation of CI/CD pipelines using YAML for automating builds, testing, and deployments
  • Developed and maintained CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD, enhancing deployment efficiency
  • Setup/configured Atlassian Products like Bitbucket, Jira, and Confluence
  • Administered and supported Splunk infrastructure, managing indexers, search heads, and forwarders
  • Created S3 buckets in the AWS environment to store files, configured replication, multi-part upload, lifecycle policies, and cross-account access, sometimes serving static content for a web application
  • Good knowledge of NoSQL databases like DynamoDB with features like LSI & GSI, WCU & RCU, and CLI commands
  • Implemented and maintained automation scripts using Python for infrastructure provisioning, configuration, and orchestration, resulting in a reduction in manual tasks
  • Experience in automating AWS environments using Python Boto3 APIs
  • Configuration of Continuous Integration (CI) and Continuous Deployment (CD) using CodeCommit, CodeBuild, CodePipeline, and CodeDeploy for automation
  • Optimized Splunk queries and dashboards to enhance search performance and reduce resource consumption
  • Integrated JFrog Artifactory into CI/CD pipelines, streamlining artifact management and deployment workflows
  • Designed and implemented CI/CD pipelines using Terraform, Ansible, and GitHub Actions, achieving faster deployment cycles
  • Developed and maintained CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD, improving deployment efficiency
  • Experienced with source code management tools like Git
  • Assisted in the design and implementation of AWS infrastructure for a new project using CDK
  • Participated in Agile ceremonies, contributing to sprint planning and retrospectives
  • Strong proficiency working with Jenkins, created many Jenkins pipelines and deployments using Jenkins Continuous Integration
  • Used Jenkins to automate most of the build-related tasks
  • Worked on the installation of Docker
  • Created custom Docker container images, tagging and pushing the images
  • Skills: AWS, Terraform, Jenkins, CodePipeline, Python, RDS, DynamoDB, CloudWatch, VPC, Subnetting, Load Balancers, IAM Roles, Security Groups, Lambda Functions, Jenkins Pipelines

DevOps Engineer

Blue Ware Technologies
10.2014 - 03.2017
  • Automated infrastructure provisioning in AWS using Terraform, ensuring consistent and scalable setups for EC2, S3, and RDS
  • Designed and implemented scalable AWS infrastructure using Terraform and CloudFormation, ensuring high availability and fault tolerance across production, staging, and development environments
  • Automated resource provisioning for EC2 instances, RDS databases, and S3 buckets using Ansible playbooks, reducing manual effort
  • Deployed containerized applications using Docker, created custom Dockerfiles, and managed container orchestration through Kubernetes, ensuring streamlined deployment pipelines
  • Configured Elastic Load Balancers (ELB) and Auto Scaling Groups (ASG) to distribute incoming application traffic across multiple instances for improved application performance and availability
  • Developed CI/CD pipelines with Jenkins to automate application build, test, and deployment processes, integrating with GitHub for version control and Nexus for artifact management
  • Implemented S3 lifecycle policies to archive infrequently accessed data, reducing storage costs by 20% while adhering to compliance requirements
  • Automated disaster recovery workflows by configuring cross-region replication for S3 and RDS resources, ensuring minimal downtime and data integrity during outages
  • Built custom Python scripts to automate repetitive cloud management tasks, including log processing, data backups, and resource cleanup
  • Configured Route53 for DNS management, including implementing failover and weighted routing policies to optimize traffic distribution across global endpoints
  • Established resource tagging strategies for cost allocation and resource management, providing insights into usage patterns and facilitating billing optimization
  • Monitored and logged application performance using AWS CloudWatch, setting up alerts for critical thresholds to enable proactive issue resolution
  • Migrated legacy on-premise applications to AWS Cloud, leveraging EC2, S3, and RDS for seamless and scalable deployments
  • Supported compliance and governance by enabling CloudTrail for audit trails and configuring AWS Config to monitor resource changes
  • Built reusable Terraform modules for common resources such as VPCs, IAM roles, and security groups, ensuring consistency across deployments
  • Automated IAM management to enforce least-privilege access policies, ensuring secure and compliant user roles and permissions
  • Deployed and managed multi-environment Kubernetes clusters, leveraging Helm charts for consistent application deployments and configurations
  • Integrated Prometheus and Grafana to monitor and visualize containerized applications, enabling real-time analytics for system performance
  • Configured VPCs, including subnets, route tables, and NAT gateways, to implement secure and isolated networking environments
  • Designed and executed robust backup strategies for DynamoDB and RDS databases, using AWS tools like Snapshots and Data Pipeline for disaster recovery
  • Wrote custom Python modules to interact with AWS SDKs, automating tasks like resource provisioning, log analysis, and EC2 tagging
  • Improved application reliability by integrating SNS and SQS for asynchronous messaging and event-driven workflows
  • Built scalable logging pipelines using CloudWatch Logs, Elasticsearch, and Kibana, improving troubleshooting capabilities across distributed systems
  • Deployed serverless solutions using AWS Lambda and integrated with API Gateway to build cost-effective, event-driven architectures
  • Configured Kubernetes ingress controllers to efficiently manage traffic routing for microservices deployed in clusters
  • Enhanced security by implementing KMS-encrypted S3 buckets, ensuring data confidentiality and integrity for sensitive workloads
  • Led the migration of legacy SVN repositories to Git, introducing modern version control practices and improving collaboration efficiency
  • Developed custom monitoring scripts in Shell and Python, integrating with Nagios for proactive alerting and uptime monitoring
  • Conducted load testing on AWS environments and optimized auto-scaling policies to handle increased traffic while minimizing costs
  • Integrated AWS Secrets Manager into application workflows, automating secure storage and retrieval of sensitive data like API keys and database credentials
  • Built and maintained Jenkins pipelines to orchestrate deployments for multi-tier applications, incorporating SonarQube for code quality checks
  • Automated configuration testing and validation using Test Kitchen and Chef, reducing configuration errors in production environments
  • Designed and implemented cross-region failover for critical workloads, using RDS read replicas and Route53 failover policies
  • Optimized performance of DynamoDB tables by fine-tuning partition keys, read/write capacities, and indexing strategies
  • Created and managed shared AMI libraries to standardize instance configurations across teams, improving deployment efficiency
  • Collaborated with cross-functional teams to design and deploy secure cloud architectures, leveraging WAF, NACLs, and IAM roles to meet stringent security requirements
  • Integrated Prisma Cloud for container runtime security, enabling real-time threat detection.

Education

Master of Science - Computer And Information Sciences

Southern Arkansas University
Magnolia, AR
05-2023

Bachelor of Science -

J.B Institute of Engineer And Technology
Hyderabad, India
01-2014

Skills

  • Infrastructure automation
  • Monitoring and logging
  • Cloud architecture design
  • Network configuration
  • DevOps methodologies
  • AWS expertise
  • Agile project management
  • Azure expertise
  • Machine learning integration
  • CI and CD implementation
  • Python programming
  • Containerization technologies
  • terraform

Certification


  • Amazon Web Services (AWS) Certified Solutions Architect
  • Amazon Web Services (AWS) Certified Developer Associate
  • Kubernetes Adminitrator

Timeline

Lead Cloud Engineer

Wells Fargo
02.2023 - Current

Senior DevOps Engineer/Cloud Engineer

DTCC
10.2021 - 01.2023

DevOps Engineer/Cloud Engineer

Lowe’s
02.2020 - 08.2021

DevOps Engineer/Cloud Engineer

Verizon
03.2017 - 01.2020

DevOps Engineer

Blue Ware Technologies
10.2014 - 03.2017

Master of Science - Computer And Information Sciences

Southern Arkansas University

Bachelor of Science -

J.B Institute of Engineer And Technology

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Prudhvidhar