SOFTWARE ARCHITECT · BACKEND ENGINEER
Luca Atella
From architecture to software
that works in production.
I design and build Python backends, APIs and cloud platforms. I help teams connect data, services and infrastructure through systems that stay understandable as the product grows.
Basilicata, Italy · Open to remote and hybrid work conversations

Clear boundaries.
Reliable integrations.
Software that can evolve.
Production experience
A fleet management platform adopted in a real business context.
Design and implementation
From FastAPI endpoints to AWS deployment and reproducible local environments.
Open source and exploration
ImportSpy for runtime contracts. B3DO for geospatial processing.
Selected projects
The problem, the design decisions and the resulting system. Each case study distinguishes production work, open-source projects and reference architectures.
01 / PRODUCTION PLATFORM
Fleet management, from local to AWS
The problem: managing vehicles, reservations, maintenance and documents without coupling business logic to a single environment.
The work: a FastAPI backend, React/TypeScript frontend and repository and storage abstractions. Docker Compose for development and serverless deployment on AWS.
Python · FastAPI · DynamoDB · S3 · Lambda
02 / OPEN-SOURCE PROJECT
ImportSpy: explicit contracts between modules
The problem: plugin systems can fail when a module breaks expected structural or execution constraints.
The work: a Python engine that checks contracts during import and returns structured violations to make integration failures diagnosable.
Python · Plugins · Runtime validation · DSL
03 / GEOSPATIAL PIPELINE · UNPUBLISHED
B3DO: Basilicata’s terrain in three dimensions
A pipeline that turns public terrain datasets into 3D models: raster clipping, levels of detail, meshes and textures, through a command-line workflow.
Python · GDAL · Rasterio · NumPy · PyVista
04 / REFERENCE ARCHITECTURE
Making IoT data useful for Digital Twins
An edge-to-cloud architecture for integrating sensors, devices and heterogeneous sources: acquisition, aggregation and access to data through explicit boundaries.
IoT · Edge/cloud · GraphQL · Data integration
All case studies, including unified backends and telemetry →
What I bring to a team
Backends and APIs
Python, FastAPI, data modeling and modular systems. Clear boundaries between business logic, integrations and persistence.
Cloud and operations
AWS, Docker and Infrastructure as Code. Reproducible environments, deployment and observability designed alongside the application.
Documented decisions
Explicit contracts, understandable failures and reasoned choices. A system should be maintainable by the people who join later.
My methodology · Technical profile · Experience and certifications in my CV · About me
THE NEXT PROJECT
Looking for a backend engineer or software architect?
I am interested in backend engineering, platform engineering and software architecture opportunities. Tell me about the product, the team and the problem to solve.