Technologies

🛠️ Technical Stack

Throughout my career, I have developed expertise in various technologies and tools. Here’s an overview of the main technologies I master:

💻 Programming Languages

☕ Java

Main language used in backend development, especially in enterprise projects and financial systems.

Frameworks and Libraries:

  • Spring Boot
  • Spring Security
  • Spring Data JPA
  • Micronaut
  • JUnit

🎯 Kotlin

Used for both Android development and backend, especially in projects requiring interoperability with Java.

Applications:

  • Native Android development
  • REST APIs with Micronaut
  • Microservices
  • Automation scripts

🐹 Go (Golang)

Language currently used at Mercado Libre for developing high-performance services.

Features I appreciate:

  • Exceptional performance
  • Simplicity and clarity
  • Excellent for microservices
  • Native concurrency

🌐 JavaScript/TypeScript

Used mainly for frontend development and some automation.

Related Technologies:

  • React.js
  • Node.js
  • TypeScript
  • HTML5/CSS3

🏗️ Backend Frameworks and Technologies

🍃 Spring Boot

Main framework for developing REST APIs and microservices in Java.

Modules Used:

  • Spring Web
  • Spring Security
  • Spring Data JPA
  • Spring Cloud
  • Spring Actuator

⚡ Micronaut

Modern framework for developing microservices with focus on performance and low memory consumption.

Advantages:

  • Reduced startup time
  • Low memory consumption
  • Ahead-of-time compilation
  • Compile-time dependency injection

📱 Mobile Development

🤖 Android

Development of native Android applications using Java and Kotlin.

Technologies:

  • Android SDK
  • Jetpack Components
  • Room Database
  • Retrofit
  • Koin (Dependency Injection)

☁️ Cloud Computing

☁️ Amazon Web Services (AWS)

Experience with various AWS services for developing scalable solutions.

Services Used:

  • Compute: EC2, Fargate
  • Storage: S3, EBS
  • Database: RDS, DynamoDB
  • Messaging: SQS, SNS
  • Monitoring: CloudWatch
  • Security: Parameter Store, IAM
  • DevOps: CodeDeploy, CodePipeline
  • Container: ECR, ECS

🐳 DevOps and Containerization

⚙️ GitHub Actions

CI/CD automation platform for building, testing, and deploying applications.

Usage:

  • Automated testing on pull requests
  • Continuous integration pipelines
  • Automated deployment workflows
  • Docker image building and publishing
  • Multi-environment deployments
  • Security scanning and code quality checks

🐳 Docker

Application containerization for development, testing, and production.

Usage:

  • Creating optimized images
  • Docker Compose for local environments
  • Multi-stage builds
  • Layer optimization

⚓ Kubernetes

Container orchestration in production environment.

Resources Used:

  • Deployments and Services
  • ConfigMaps and Secrets
  • Ingress Controllers
  • Horizontal Pod Autoscaler
  • Monitoring and Logging

🗄️ Databases

🐘 PostgreSQL

Main relational database used in most projects.

🍃 MongoDB

NoSQL database used for specific cases requiring schema flexibility.

⚡ Redis

Used for cache, sessions, and message queues.

🚀 DynamoDB

AWS NoSQL database used in projects requiring high scalability.

📊 Monitoring and Observability

📈 New Relic

Application Performance Monitoring (APM).

🐕 DataDog

Monitoring and analytics platform used at Mercado Libre.

🔍 Kibana

Elasticsearch logs and metrics visualization.

☁️ CloudWatch

AWS resource monitoring and custom metrics.

📊 Prometheus

Monitoring and metrics platform used at Mercado Libre.

📊 Grafana

Monitoring and metrics visualization platform used at Mercado Libre.

🔄 Messaging and Streaming

🚀 Apache Kafka

Streaming platform for real-time event processing.

Usage:

  • Event-driven architecture
  • Microservices communication
  • Real-time data processing
  • Message queuing

🛠️ Development Tools

💻 IDEs

  • IntelliJ IDEA - Main IDE for Java/Kotlin development
  • GoLand - For Go development
  • Visual Studio Code - For web development and scripts
  • Android Studio - For Android development

🔧 Build Tools

  • Maven - Java dependency management
  • Gradle - Build automation (Android and some Java projects)
  • Go Modules - Go dependency management

📝 Version Control

  • Git - Distributed version control
  • GitHub - Repository hosting
  • GitLab - CI/CD and corporate repositories

📚 Methodologies and Practices

🧪 Testing

  • TDD (Test-Driven Development)
  • Unit Testing (JUnit, Mockito, Go testing)
  • Integration Testing
  • Instrumented Testing (Android)

🏗️ Architecture

  • Microservices Architecture
  • Clean Architecture
  • Domain-Driven Design (DDD)
  • Event-Driven Architecture
  • RESTful APIs

🔄 DevOps

  • CI/CD Pipelines

“The best technology is the one that solves the problem simply and efficiently.”