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GeezerVison is showing github.com โ€” rhenter - Overview

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Rafael Henter rhenter

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Senior Python & Django Architect | Distributed Systems | Cloud-Native Backend | Scalable Production Systems
33 followers ยท 13 following
  • HenterDevs
  • Rio de Janeiro
  • www.henter.com.br
  • @henter
  • rafaelhenter
  • in/rhenter

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rhenter/README.md

Rafael Henter

Senior Python & Django Architect | Distributed Systems Engineer | Cloud-Native Backend Specialist

Designing and leading scalable backend platforms with 20+ years of experience in production environments.


๐Ÿš€ About Me

I am a Senior Backend Engineer specialized in Django-based architectures and distributed systems.

For over two decades, I have designed, built, and led high-availability platforms with strong emphasis on scalability, reliability, and infrastructure automation.

My core strength is backend architecture โ€” especially Django systems operating at scale.


๐Ÿ— Backend Architecture

Backend is my primary expertise and architectural foundation.

  • Advanced Django applications
  • Django REST Framework (favorite, but I know many others)
  • Complex domain modeling
  • Multi-service architecture
  • High-throughput APIs (10k+ req/min systems)
  • Celery distributed task orchestration
  • Queue-based processing (Redis, SQS, AMQ)
  • Performance optimization
  • Middleware design considerations
  • Scalable authentication & enterprise integrations

I focus on clean architecture, maintainable systems, and long-term scalability.


โš™๏ธ Distributed Systems & Infrastructure

  • Microservices architecture
  • Kubernetes (EKS)
  • Docker-based deployments
  • Autoscaling strategies
  • Infrastructure as Code
  • CI/CD pipelines (GitLab)
  • Observability & monitoring strategies
  • Cost allocation & infrastructure optimization

I design systems that are resilient, fault-tolerant, and production-ready.


โ˜๏ธ Cloud & Data Engineering

  • AWS (EKS, S3, RDS, SNS, SQS, AMQ)
  • Data pipelines
  • Pandas-based data processing
  • Real-time ingestion systems
  • Queue-driven workflows
  • Distributed processing strategies

๐Ÿ“Š Architecture Principles

When building systems, I prioritize:

  • Scalability
  • Observability
  • Cost efficiency
  • Reliability engineering
  • Domain clarity
  • Infrastructure automation
  • Production-grade robustness

๐Ÿค– AI & LLM (Currently Expanding Expertise)

I am actively evolving in AI-driven backend systems, focusing on:

  • LLM integrations in production
  • RAG architectures
  • LangChain-based orchestration
  • AI-powered internal tools
  • Data Science Ops (DSOps / LLMOps fundamentals)
  • AWS SageMaker experimentation

While AI is a growing focus, my foundation remains strong backend and distributed systems engineering.


๐ŸŽฏ Current Focus

  • Advanced backend architecture
  • Scalable Django systems
  • Distributed processing at scale
  • AI integration into production platforms

๐Ÿ“ซ Connect

  • LinkedIn: https://www.linkedin.com/in/rhenter/
  • Email: [email protected]

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    Reusable Django models, fields, validators, forms, signals, history tracking, and soft deletion for Django 5โ€“6 and Python 3.10โ€“3.14.

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    The Django API Client is an API response wrapper, which translates Django's native calls when using a view to a particular REST API. Whether using the API client directly in a FBV (Function-based Vโ€ฆ

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    Oanda REST-v20 API wrapper for Python

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  5. stream-chat-api stream-chat-api Public

    Example of Stream Chat using Django Rest Framework and ReactJS

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  6. smart-rest-client smart-rest-client Public

    Wrapper to perform requests to Rest APIs using objects to request endpoints and their methods

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