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Prudhvi Gantam Email & Phone Number

DevOps Engineer at LexisNexis Risk Solutions
Location: Dallas-Fort Worth Metroplex, United States, United States 3 work roles 2 schools
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Current company
Role
DevOps Engineer
Location
Dallas-Fort Worth Metroplex, United States, United States
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Who is Prudhvi Gantam? Overview

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Prudhvi Gantam is listed as DevOps Engineer at LexisNexis Risk Solutions, a company with 3531 employees, based in Dallas-Fort Worth Metroplex, United States, United States. AeroLeads shows a matched LinkedIn profile for Prudhvi Gantam.

Prudhvi Gantam previously worked as DevOps/Cloud Engineer at Salient Global Technologies and System Administrator at Kantar. Prudhvi Gantam holds Master'S Degree, Information Technology, 3.4 from University Of North Texas.

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LexisNexis Risk Solutions

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Profile bio

About Prudhvi Gantam

Experienced DevOps Engineer with a focus on delivering results. I have over 4+ years of experience in designing and automating resilient cloud infrastructures. Skilled in utilizing AWS, Azure, GCP, Docker, and Kubernetes to create scalable systems. Proficient in implementing CI/CD pipelines using Jenkins and Git and infrastructure as code with Terraform and Ansible. Strong in scripting with Python and Bash and skilled in monitoring using Prometheus and Grafana to optimize system performance and reliability. Proven track record of effective collaboration within agile teams to meet business goals.

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Prudhvi Gantam's current company

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LexisNexis Risk Solutions
Lexisnexis Risk Solutions
DevOps Engineer
alpharetta, georgia, united states
Employees
3531
AeroLeads page
3 roles

Prudhvi Gantam work experience

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Devops Engineer

Current

Atlanta, Georgia, United States

  • Led the successful migration from an on-premises data center to the Azure Cloud, overseeing 15+ Azure subscriptions and ensuring consistent system performance.
  • Successfully enabled deployments to GKE clusters in under 20 minutes, representing a significant improvement in deployment efficiency and agility for the company.
  • Managed Continuous Integration (CI) processes using GitHub Actions, resulting in a 25% accelerated feature integration, and maintained high code quality.
  • Developed and deployed to 2,400 stores utilizing Go-based microservices for testing, demonstrating proficiency in cloud-native application architecture and the Go programming language.
  • Spearheaded the implementation of an automated CI/CD pipeline using Jenkins and Docker, resulting in a 30% reduction in deployment time and a 50% increase in release frequency.
May 2023 - Present

Devops/Cloud Engineer

Dallas, Texas, United States

  • Guided the development of a Java-based web application using the Spring Framework and Maven, contributing to a 20% increase in user retention, utilizing AWS for scalable infrastructure.
  • Achieved a 25% reduction in query response times across various database systems, including PostgreSQL, MySQL, and Cassandra, by leveraging AWS cloud services.
  • Implemented an automated CI/CD pipeline using Jenkins and Docker, reducing deployment time by 30% and increasing release frequency by 50%.
  • Managed Amazon EC2 instances, optimizing resources and security to support scalable, cost-effective, and highly available applications, resulting in a 20% reduction in infrastructure costs.
  • Directed the deployment and scaling of containerized applications with Amazon ECS, implementing automation for deployment and scaling in a microservices architecture, leading to a 40% increase in deployment speed.
  • Streamlined containerization with Kubernetes in a hybrid environment, utilizing Docker and GKE (Google Kubernetes Engine), improving resource utilization and application scalability.
Nov 2022 - Apr 2023

System Administrator

Hyderabad, India

  • Proficiently managed 20+ Linux servers, implementing robust security measures and task automation, resulting in improved system performance and a 20% optimization in resource utilization.
  • Engineered strategic adjustments to Linux-based infrastructure, leading to a 20% increase in overall network efficiency and 30% reduction in security threats.
  • Deployed and managed monitoring frameworks (Nagios, New Relic, Splunk), providing real-time visibility into Linux system operations, which decreased unplanned downtime by 25% and significantly bolstered system.
  • Developed proficiency in Linux systems, administering systems in Ubuntu and CentOS environments, providing critical support for software development.
  • Orchestrated dynamic routing protocols on Linux-based systems, improving network responsiveness by 15%.
  • Enforced access control lists (ACLs) and port security on Linux servers, enhancing system security and minimizing potential breaches.
Jul 2019 - Dec 2021
2 education records

Prudhvi Gantam education

Master'S Degree, Information Technology, 3.4

I acquired a diverse skill set during my master's program * Proficient in data mining, machine learning, and predictive modeling.

Bachelor Of Technology - Btech, Computer Science

During my undergraduate studies * In my first project, I immersed myself in machine learning concepts, utilizing data analysis and.

FAQ

Frequently asked questions about Prudhvi Gantam

Quick answers generated from the profile data available on this page.

What company does Prudhvi Gantam work for?

Prudhvi Gantam works for LexisNexis Risk Solutions.

What is Prudhvi Gantam's role at LexisNexis Risk Solutions?

Prudhvi Gantam is listed as DevOps Engineer at LexisNexis Risk Solutions.

Where is Prudhvi Gantam based?

Prudhvi Gantam is based in Dallas-Fort Worth Metroplex, United States, United States while working with LexisNexis Risk Solutions.

What companies has Prudhvi Gantam worked for?

Prudhvi Gantam has worked for Lexisnexis Risk Solutions, Salient Global Technologies, and Kantar.

How can I contact Prudhvi Gantam?

You can use AeroLeads to view verified contact signals for Prudhvi Gantam at LexisNexis Risk Solutions, including work email, phone, and LinkedIn data when available.

What schools did Prudhvi Gantam attend?

Prudhvi Gantam holds Master'S Degree, Information Technology, 3.4 from University Of North Texas.

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