Data Engineer · Backend Developer
Nuno Mendes
I turn raw data into reliable pipelines, clean models and well-crafted backend APIs — building the systems that quietly keep data-driven products running.
What I do
Engineering the layer beneath the data.
From the database up to the API, I focus on the parts that have to be correct, observable and built to last.
Data Engineering
Designing schemas, modeling data and building warehouses with PostgreSQL and Snowflake — turning raw, messy data into clean, queryable models.
Backend Development
Building reliable services and APIs — Spring Boot REST endpoints, caching, authentication and containerized deployments that hold up under load.
Pipelines & Cloud
Ingesting, cleaning and orchestrating data flows in Python, with an eye on running them reliably and at scale on Google Cloud.
Selected work
Things I've built.
A few projects that lean on data and the backend — from concurrent servers to graph engines and hackathon data science.
Social Analytics Angola
Python ETL pipeline
A containerized data pipeline that scrapes and processes social-media data about Angola. Modular scrapers feed an ingestion and transformation layer, with infrastructure and configuration managed through Docker Compose.
University Library System
Spring Boot REST API
A complete REST API for a university library — books, authors, loans and reservations — with a FIFO reservation queue, automatic fine calculation and role-based access. Built on Spring Boot with PostgreSQL and documented via Swagger.
DataBox
Data-engineering algorithm visualizer
An interactive platform that visualizes the algorithms behind data engineering — MapReduce, sorting and partitioning — with real-time animations and complexity analysis. Built with Next.js and Framer Motion.
Projecto Final · ESII
Web · Mobile · Backend
A multi-platform software-engineering capstone spanning a Java backend, a TypeScript web frontend and a mobile client — with API specifications, vision documents and a Docker-based development environment.
On GitHub
What I'm building, in the open.
A live look at my activity and the languages I work in most. Browse the repositories to see what I'm shipping.
Certifications & continuous learning
Deepening the data-engineering foundations.
Structured career tracks in SQL, Python and cloud — the formal groundwork behind the projects above.
Associate Data Engineer in SQL
The fundamentals of data engineering — database design and data warehousing with PostgreSQL and Snowflake.
Data Engineer in Python
Ingest, clean and manage data efficiently, plus schedule and monitor production data pipelines.
Associate Cloud Engineer — Exam Prep
Structured preparation across the Google Cloud domains covered by the Associate Cloud Engineer certification.
Completed courses4
Toolkit
The stack I work with.
Languages
Data & Backend
Cloud & DevOps
Foundations
About
A systems engineer, drawn to data.
I started with low-level systems and algorithms at 42 School — C, memory, networking, the parts that teach you how machines really work. Over time I gravitated toward the backbone of data-driven products: clean data models, reliable pipelines and well-designed APIs.
Today I'm sharpening my data-engineering foundations through DataCamp's career tracks and preparing for the Google Cloud Associate Cloud Engineer certification. I care about systems that are correct, observable and built to last.
Contact
Let's build something with data.
Open to data-engineering and backend opportunities — internships, junior roles or a project worth shipping. The fastest way to reach me is email.