Jorge Alarcón

Jorge Alarcón

With over 7 years of hands-on experience managing Linux (Debian) environments and developing solutions using Rust, Go, and Python. My expertise bridges infrastructure automation and software development, enabling me to architect robust systems that solve complex technical challenges.

  • DevOps Engineering
  • Data Engineering
  • Civil Engineering

Leptos for frontend and Echo for backend

Leptos for frontend and Echo for backend

  • What it is? 💡 A modern ERP (Enterprise Resource Planning) system built with a Rust frontend and a Go (Echo) backend, designed for high performance, security, and scalability.
  • Why did I build this project? 💡 This ERP will also serve as a tool to help dental clinics manage and automate their internal business logic — from patient management and scheduling to financial tracking and analytics.

#Docker #AWS-ECS #Rust (Leptos framework) #Go (Echo) #AWS-Lambda #AWS-S3 #AWS-CloudFront #AWS-Route53 #AWS-WAF

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Designed and implemented scalable AWS architecture and DevOps CI/CD pipelines

  • What it is? 💡 A DevOps infrastructure project for a Brazilian startup. The focus was on ensuring seamless deployment, scalability, and operational reliability across environments.
  • Why did I build this project? 💡 To design a robust cloud infrastructure that integrates CI/CD pipelines, automated testing, and follows the AWS Well-Architected Framework. This setup aimed to optimize delivery speed, cost efficiency, and long-term maintainability for a rapidly growing product.

#AWS-Amplify #AWS-EC2 #GitHubActions #Docker #Terraform

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Microservices Architecture with Spring Boot

  • What it is? 💡 A DevOps advisory and support project for a Spanish startup developing a Spring Boot microservices architecture.
  • Why did I build this project? 💡 To provide guidance on infrastructure design, deployment automation, and CI/CD implementation, ensuring scalable, secure, and efficient delivery pipelines for the engineering team.
  • How did I build this project? 💡 I collaborated with the development team to optimize containerization (Docker), improve build pipelines, and configure cloud environments for smooth integration and deployment.

#DevOps #SpringBoot #Microservices #Docker #CI/CD #Automation #Cloud

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Python fundamentals for Data Science

Python fundamentals for Data Science

  • What it is? 💡 A complete guide to Python fundamentals for Data Science — starting from the basics of Python programming and moving through iterators, generators, SQL with SQLite, NoSQL with MongoDB, and essential libraries like pandas and NumPy.
  • Why did I build this project? 💡 To help students and professionals master the core tools of data manipulation and analysis, including how to design ETL workflows and perform Exploratory Data Analysis (EDA) effectively.

#Python #JupyterNotebooks #pandas #NumPy #SQLite3 #MongoDB #VSCode #SQLite3 #NoSQL.

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Life expectancy

Life expectancy

  • What it is? 💡 To generate insights about Life Expectancy, we created a complete data pipeline — from ETL to a data warehouse — using APIs from the World Bank, World Health Organization, and United Nations. With this clean dataset, we built insightful dashboards and machine learning models for prediction.
  • Why did I build this project? 💡 This was the final project for Henry’s Data Science Bootcamp, focused on applying end-to-end data engineering and analytics skills.

#Python #Docker #Airflow #PostgreSQL #Linode #EC2 #RDS #S3 #Notebooks #PoweBI #Pandas

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