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Work
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📓 Education

Kansas State University May 2019
Bachelor of Science in Computer Science

🗄 Skills and Certifications

  • Language: Spanish (Fluent)

💼 Relevant Experience

DevOps Engineer – Black Spectacles Sep 2021 – Present

  • 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 – Present

  • 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