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TECH LEAD · BACKEND ENGINEER · PLATFORM ENGINEER

Luca Atella

From architecture to software
that works in production.

I design and build Python backends, APIs and cloud platforms directly. At Vemar I worked as Tech Lead, coordinating a 4-person team and building backend systems used in real operational contexts.

Basilicata, Italy · Open to remote and hybrid work conversations

Discuss an opportunity Explore the projects

Services for businesses · Read my CV · LinkedIn · Versione italiana

Portrait of Luca Atella, Software Architect and Backend Engineer

Clear boundaries.
Reliable integrations.
Software that can evolve.

Production experience

Fleet Management System used by Studio Lambda for vehicle turnover management for 50 employees.

Tech Lead at Vemar

Continuous technical coordination of a 4-person team, an infrastructure for 80 trackers, and the framework behind delis.app.

Direct engineering and diagnosis

Backends, infrastructure, isolated runtimes and explicit contracts: from implementation to operational verification.

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

Cloud-Portable Fleet Management Platform

The context: Fleet Management System used by Studio Lambda to manage vehicle turnover for 50 employees.

The work: FastAPI backend, React/TypeScript frontend, repository and storage abstraction, reproducible local development and actual AWS deployment.

Python · FastAPI · DynamoDB · S3 · Lambda

Architecture and project decisions →

02 / VEMAR EXPERIENCE

Real-Time Fleet Telemetry Backend

The context: infrastructure I personally designed and implemented at Vemar for 80 trackers.

The work: socket communication, CAN bus data, persistence, normalization and REST APIs to make operational data available.

Python · Socket · CAN bus · REST API

Read the telemetry case study →

03 / OPEN-SOURCE PROJECT

ImportSpy 0.5 — Policy-as-code admission for Python

The problem: Python imports can execute code before a system decides whether a module and its dependencies satisfy policy.

The work: static preflight, dependency identity and evidence-based policy evaluation, with structured ADMIT / DENY decisions before explicit execution.

Python · Policy-as-code · Dependency policy · Developer tooling

Read the ImportSpy case study →

04 / PROFESSIONAL INTERVENTION

Runtime isolation for Italian tax applications

The problem: Agenzia delle Entrate applications from different years required Java runtimes and launch modes that could not be handled by one global setup.

The work: isolated runtimes, JNLP/LaunchAnywhere handling, separate Desktop Telematico/Entratel treatment, and coexistence checks.

Windows · Java runtime · JNLP · Entratel

Read the compatibility case study →

05 / 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

From public data to 3D models →

06 / 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

Explore the Digital Twin architecture →

Explore all case studies →

Talks & Presentations

ImportSpy — GDG Basilicata

Flash Talks Arena · 20 May 2025 — Quando i moduli Python sanno dire “no”. A talk on ImportSpy’s earlier runtime-contract generation; version 0.5 now performs admission checks before execution.

Original presentation — Italian (PDF) → · Event details

Fleet Management — CTE Matera / Studio Lambda

The Studio Lambda Fleet Management case study: vehicle turnover for 50 employees, application boundaries and AWS deployment.

Read the accompanying Fleet Management case study →

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.

Professional services · 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.

Get in touch by email Download my CV as PDF

Or connect with me on LinkedIn.