Work | Paula Gauto

Kansas State University May 2019
Bachelor of Science in Computer Science

Senior DevOps Engineer – PracticeTek Sep 2023 – Present

Maintain CI/CD pipelines with GitHub Ac*ons and Bitbucket Pipelines for seamless EKS/AKS deployments.
Develop, maintain, and update IaC using Terraform and Terragrunt across mul*-region, mul*-environment, and multicloud pla@orms to enable scalable and eﬃcient infrastructure.
Provide infrastructure support to developers and data engineers, addressing their evolving infrastructure needs.
Reduce costs by migra*ng databases to RDS and integraQng legacy apps into Kubernetes.
Monitor 30+ micro-services using Datadog, enhancing performance and reliability.
Contribute to the upliS of an API by transiQoning from legacy code to newly deployed Kubernetes micro-services.
Mentor and guide a team of six DevOps engineers, fostering collaboraQon and driving success.

AWS Azure Kubernetes Terraform Github Actions Datadog Docker SQL

DevOps Engineer – Black Spectacles Nov 2022 – Sep 2023

Streamline CI/CD pipelines using Github Actions, CircleCI and Python AWS CDK, enabling efficient deployment of containerized and monolithic applications on ECS and ElasNc Beanstalk, while reducing deployment time.
Reduce unnecessary spending in AWS by identifying unused reseources and plan to leverage to leverage alternatives to on-demand instances to save more while maintaining scalability and reliability.
Develop AWS CDK Python IaC for Node.js API, integrating ECS, API Gateway, new VPC for a brand new platform.
Lead a tool consolidation initiative, migrating from Bitbucket & CircleCI to a Github environment, writing new pipelines, implementing Dependabot and optimizing branch settings for streamlined workflows.
Manage seamless domain migration ensuring uptime, minimal user disruption for improved website traffic and SEO.

AWS Python CDK Github Actions Datadog Docker SQL

DevOps Engineer – Covetrus Sep 2021 – Oct 2022

Build and maintain CI/CD pipelines using Gitlab CI, Terraform and Harness to deploy K8s applications in AWS.
Leverage Azure DevOps tools and arm templates to deliver .NET apps for the company's most ambitious project to date.
Serve as central point of contact of all Infrastructure-related topics for specific app-dev teams.
Participate and collaborate in the continuous improvement of CI/CD pipelines to ensure optimal site reliability.

AWS Kubernetes Terraform Docker MongoDB Harness Jenkins Azure

Embedded DevOps Engineer – Capital One Trade Credit Feb 2021 – Sep 2021

Worked as an Embedded DevOps resource along with several Agile remote teams, managing several Kubernetes micro-services hosted on Google Cloud Platform.
Maintained fully automated CI/CD pipelines for code deployment using Jenkins and Groovy.
Participated in weekly Scrum meetings, and communicated daily with developers and other team members to ensure maximum productivity and efficiency.

GCP AWS Kubernetes Terraform Docker MongoDB Harness Jenkins

Cloud Engineer – Covetrus Oct 2020 – Jan 2021

Work as part of a cross-functional group to provide customized platform solutions to fit their needs.
Provided software engineers and data analysts technical guidance around best practices regarding architecture, coding and performance to help boost productivity and results.
Automated cloud daily tasks, including database IAM using AWS CLI, Python, Bash/ZSH.

AWS Python Powershell jamf Active Directory SQL c-sharp

System Administrator – Covetrus Nov 2018 – Oct 2020

Responded to second and third level support through user-generated service Jira tickets, diagnosing root causes and providing long-term solutions.
Deployed automated MDM processes using jamf to a previously unmanaged macOS fleet, deploying policies, workflows and patching.
Wrote, test and deploy PowerShell Scripts and Group Policies to automate and maintain the Windows Infrastructure.

Python Powershell jamf Active Directory c-sharp

IT Support Specialist – Covetrus Nov 2018 – Oct 2020

Managed Microsoft Active Directory and hardware asset management, imaging and deployment of workstations.
Provided technical support for 1000+ employees in 6 offices located all over the United States.
Performed diagnostic and troubleshooting of multiple system issues, documented issues and SOPs.

Research Programmer – Laboratory for Knowledge Discovery in Databases Aug 2016 – May 2018

Provided support for data mining and machine learning on a text extraction project partnered with Lawrence Livermore National Lab.
Implemented a NoSQL Database (MongoDB) to store machine learning results and display on the Flask web app.
Managed the front-end user interface for customer easy access using Python (Flask), JavaScript, HTML and CSS.

Python Flask Javascript HTML CSS MongoDB

Developer – Beef Cattle Institute, Kansas State University Aug 2016 – May 2018

Developed an event monitoring and classification system in Python for bovine infectious diseases using current Internet of Things (IoT) technology.
Implemented a Python support for machine learning component for disease classification based on spatiotemporal pattern analysis from timestamped wearable sensor logs.
Wrote and optimized SQL queries to retrieve and use data accordingly.

Python SQL