<aside> 💼

Python Backend Engineer | Cloud · APIs · Reliability · Data Pipelines

📍 Lima, Peru | ✉️ [email protected] | LinkedIn | GitHub | Kaggle

</aside>

👤 About Me

I’m a Computer Scientist with 6+ years of experience developing and maintaining backend systems in Python, focusing on APIs, cloud-native architectures (AWS), and data pipelines.

My work emphasizes reliability, observability, and maintainable engineering.

🚀 Featured Projects

A visual gallery of highlighted work.

🌬️ CleanAir API – FastAPI & PostgreSQL

• Backend API for querying and analyzing air quality data using OpenAQ.

• Technologies: Python, FastAPI, PostgreSQL, Docker, Pydantic, SQLAlchemy

• Key Features:

  • /locations/ – retrieves locations filtered by country ISO code
  • /measurements/{location_id}/latest – fetches measurements per location with optional parameter filter
  • /analytics/ – provides top locations ranking and average pollution values per parameter

• Highlights:

  • Repository & Service Pattern: Clean separation of routers, services, and repository for DB interactions
  • Dockerized PostgreSQL: ready to store historical measurements for analytics
  • Optional analytics endpoints: Top N locations per parameter, averages per location

• Example Request:

  GET /locations/?country_code=PE
  

• Example Response:

[
  { "id": 819, "country_code": "PE", "name": "Ate" },
  { "id": 2277, "country_code": "PE", "name": "CARABAYLLO" }
]

• Example Analytics Request:

  GET /analytics/top?parameter=pm25&top_n=5
  

• Example Response:

[
  { "location": "Ate", "avg_value": 85 },
  { "location": "CARABAYLLO", "avg_value": 78 }
]

https://github.com/MVasquez95/micky-cleanair

☁️ Cloud Architecture – AWS (Frontend + API) with CI/CD & Security