magnitopic

Alejandro
Aparicio

MagnitopicData Engineer

Building data pipelines and making sense of large-scale data. Currently a Junior Data Engineer at Quantori, working in the medical sector. Also studying a Master's in AI & Big Data and specializing through 42 Network's Data & AI track.

  • Data Engineering
  • AI / ML
  • Full-Stack Development

Work Experience

  1. 2026

    Data Engineer

    Current

    QuantoriFeb 2026 – Present

    Full-time position delivering data engineering solutions in the medical sector, where data integrity and compliance are critical.

    • Databricks
    • Apache Spark
    • SQL
    • Python
  2. 2024

    FullStack Developer

    Internship

    Telefónica — Chief Digital OfficeJul 2024 – Jun 2025

    Development of web pages for company services with a custom CMS. Led migration from legacy systems to a React & REST API architecture.

    • React
    • REST APIs
    • JavaScript
    • TypeScript
  3. 2024

    BIM Web Developer

    Internship

    INECOFeb 2024 – Jun 2024

    Development of internal tools and web pages using Python, JavaScript and Java. Worked on a web-based BIM model viewer and a project management dashboard.

    • Python
    • JavaScript
    • Java

Technical Skills

Data & Big Data
  • Databricks
  • Apache Spark
  • Apache Kafka
  • Apache NiFi
  • SQL
Languages
  • Python
  • C / C++
  • Java / Kotlin
  • JavaScript
  • TypeScript
Cloud & Infra
  • AWS
  • Docker
  • Kubernetes
  • GitHub Actions / CI·CD
Full-Stack
  • React
  • Next.js
  • Node.js
  • Django
  • FastAPI
Domains
  • Data Engineering
  • AI / ML
  • Full-Stack Development

Featured Projects

View all projects
  • Minishell

    A UNIX shell built from scratch in C that replicates core Bash behaviour: command parsing, pipes, redirections, environment variables, built-in commands (cd, echo, export, unset, exit…), signal handling, and heredocs. The main challenge was understanding how the kernel actually runs processes — forks, exec, file descriptors — rather than just calling a library to do it for you.

  • Push Swap

    Sort a stack of integers using only two stacks and eleven operations (push, rotate, reverse-rotate, swap) in as few moves as possible. Small inputs (≤5) use a hardcoded optimal sort; larger inputs use a greedy algorithm that calculates the cost to insert every element and always picks the cheapest move, with a synergy optimisation that merges simultaneous same-direction rotations on both stacks into a single combined instruction. Typically achieves ~750 moves for 100 numbers and ~6 500 for 500.

  • WebServ

    A fully compliant HTTP/1.1 web server written from scratch in C++. Handles GET, POST and DELETE requests, serves static files with auto-indexing, executes CGI scripts (Python), and supports multiple virtual servers from a single nginx-style config file. I/O multiplexing is done with poll() so a single process manages all connections without threads. Stress-tested with siege.

  • Gomoku AI

    A complete Gomoku (Five in a Row) game engine with a strong AI opponent built on minimax with alpha-beta pruning. The first move is searched to depth 10; subsequent moves to depth 3, reducing the search space from ~590 billion nodes to ~24 million. A pattern-based heuristic scores positions (five-in-a-row = 1M pts, open four = 100k, etc.) and a threat-detection pre-pass handles immediate captures and blocks before the full tree search. Supports standard rules, 42-school rules (double-three prohibition + captures) and a Reversi variant.

  • Rubber Ducky — DNS Poisoning Demo

    A class presentation project demonstrating how a USB Rubber Ducky can be weaponised for credential theft. The payload silently reconfigures a machine's DNS settings so all traffic is routed through a fake login page we controlled. Built to show the attack surface of physical-access threats, not for malicious use.

Get in touch

Let's build something.

Whether it's a project, a collaboration, or just to say hi — my inbox is open.

Contact me