EZ
Enrique Zetina Logo

Cloud Architect & DevOps Engineer

Designing, building, and automating scalable, resilient, and secure cloud infrastructure.

About Me

Enrique Zetina

I am a certified Cloud Architect and Python Developer with a passion for building innovative and efficient solutions. With over 10 years of experience, I specialize in designing and implementing robust cloud infrastructures on AWS, GCP, and Azure.

My expertise lies in DevOps, Big Data, and automation, where I leverage tools like Kubernetes, Terraform, and Airflow to create seamless CI/CD pipelines and data workflows. I am driven by the challenge of solving complex problems and delivering high-quality, scalable systems.

  • Cloud Architecture
  • DevOps
  • Big Data
  • Python

Education

Master's Degree in Big Data

Universidad Internacional de La Rioja (UNIR)

2019 - 2020

Bachelor of Engineering in Computer Science

Universidad Autónoma Metropolitana (UAM)

2010 - 2015

Technical Skills

Cloud Platforms

  • AWS
  • Azure
  • GCP

DevOps Tools

  • Kubernetes
  • Docker
  • Terraform
  • Jenkins
  • Git
  • CI/CD

Big Data

  • Apache Spark
  • Apache Hadoop
  • Apache Kafka
  • Airflow

Languages

  • Python
  • Bash
  • SQL
  • JavaScript

Databases

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis

Other

  • Linux
  • Networking
  • Security
  • Agile Methodologies

Projects

Weather Dashboard

Weather Dashboard

ReactNode.jsAWSAPI

Developed a cloud-based weather dashboard that fetches real-time weather data from an external API and displays it in an intuitive UI.

Automated News Aggregator Bot

Automated News Aggregator Bot

PythonBeautifulSoupMongoDBAutomation

Created a Python bot to scrape, process, and store news articles from various sources, providing a centralized and categorized news feed.

Exam Generator

Exam Generator

PythonFlaskMongoDBCI/CDGCPGenerative AIDocker

Certification exam generator that scrapes questions from various sources, processes them, and generates practice exams for users.

Work Experience

Cloud Platform Developer

Apr 2025--Present

Grainger

Implemented cloud governance policies and controls using Infrastructure as Code (IaC). Developed and maintained APIs and automation services to enhance governance and cost optimization. Contributed to FinOps initiatives, including cost allocation, optimization, and reporting processes. Made architectural decisions to ensure scalable, secure, and cost-efficient cloud solutions.

Development Team Lead

Jul 2024--Mar 2025

Whirlpool US

Oversaw and guided the development team, conducted code reviews, and ensured adherence to best practices. Architected and developed reusable Terraform modules to enhance efficiency and consistency. Managed the DevOps lifecycle, including writing CI/CD pipelines and managing deployments with Bitbucket, GitLab, and GitHub. Co-owned infrastructure architectural decisions on GCP and communicated their impact to stakeholders.

Cloud Platform Architect

Oct 2023--Jul 2024

Procter & Gamble US

Designed, implemented, and optimized GCP solutions for enterprise-level applications. Managed GCP infrastructure for load balancing (ILB, XLB) and Private Service Connect (PSC). Built and maintained Apigee X organizations, API proxies, and products. Deployed over 500 Cloud Run services via secure CI/CD pipelines using GitHub Actions.

Engineering Team Lead

Sep 2023--Nov 2023

EPAM Systems, Inc.

Led team onboarding, training, and access management. Provided support for AWS RDS databases, ensuring optimal performance. Developed and maintained Jenkins and GitLab CI/CD pipelines for automated deployments.

Developer Team Lead

Nov 2022--Jun 2023

AutoZone, Inc

Led the development of an eCommerce search platform on GCP. Implemented complex solutions using Java, SpringBoot, Cloud Functions, and Dataflow. Worked with Apache Lucene and Apache Solr for search functionality.

Lead Systems Engineer

March 2022--September 2022

EPAM Systems, Inc.

Led the development of ML models using Vertex AI, including AutoML and custom models. Designed and implemented architectural solutions for GCP Vertex AI environments. Deployed models to standard and private endpoints, ensuring security with CMEK.

Senior Systems Engineer

April 2019--September 2022

EPAM Systems, Inc.

Provided expert-level technical support for Google Cloud customers on products including BigQuery, Dataflow, Composer, and Dataproc. - Mentored junior engineers in Big Data topics and GCP for Google clients. - Automated cloud deployments for customers using Terraform.

Get In Touch

I'm always open to discussing new projects, creative ideas, or opportunities to be part of an amazing team. Feel free to reach out.