Hello! 👋

I'm Pablo García Rius

Python Data & Automation Engineer

About Me

I am a Software Engineer specializing in the Python ecosystem, highly focused on Data Engineering, web automation, and building cloud infrastructure. My goal isn't to build statistical models, but rather to construct the robust, scalable 'highways' that a company's data travels on. Currently, I design and manage end-to-end data extraction ecosystems, transforming unstructured web data into strategic assets. I hold an MSc in Software Engineering and Management from Kingston University (London) and a BSc in Computer Science Engineering from Universidad Carlos III de Madrid.

Python AWS Crawlee Prefect Pulumi NixOS Node.js TypeScript CI/CD

Projects

01

E-Commerce Market Intelligence Scraper

Architected robust scrapers using Python and Crawlee, utilizing browser emulation to navigate dynamic e-commerce platforms.

PythonCrawleeWeb AutomationPrefectAWS
02

Automated Incident Reporting Pipeline

Automated data integration for incident reporting using Node.js and APIs, reducing data processing time for managers.

Node.jsREST APIsData PipelinesPower BI
03

Real-time Sensor Data Platform

Developed a full-stack project to streamline sensor data using Azure IoT, Node.js, and React, enhancing real-time visualization.

Azure IoTNode.jsTypeScriptReactReal-time Data

Experience

Python Data & Automation Engineer

ComexSoft

January 2026 - Present
  • Architected robust scrapers using Python and Crawlee, utilizing browser emulation to navigate highly dynamic e-commerce platforms.
  • Designed and managed end-to-end data pipelines using Prefect, ensuring high reliability, monitoring, and efficient data processing.
  • Deployed scalable cloud architectures on AWS via Infrastructure as Code using Pulumi, significantly optimizing environment provisioning.
  • Configured and managed server environments and development setups using NixOS, improving system reproducibility.

Business Intelligence Analyst Intern

TK Elevator

June 2024 - December 2024
  • Automated data integration for incident reporting using Node.js and APIs, reducing data processing time for managers.
  • Created performance indicators for the OSH department, using large datasets for better analysis and decision-making.
  • Developed Power BI dashboards to visualize incident trends, helping prioritize preventive measures in high-risk zones.

Software Engineer Intern

NTT DATA

September 2023 - May 2024
  • Built and maintained CI/CD pipelines with GitHub Actions, automating deployments and reducing manual effort by 50%.
  • Developed a full-stack project to streamline sensor data using Azure IoT, Node.js, and React, enhancing real-time interaction.
  • Created the frontend for Renfe's real-time data visualization app with React and TypeScript, improving safety and risk management.

Education

Master of Engineering - MEng, Software Engineering and Management

Kingston University

January 2025 - January 2026
  • Specializing in Agile methodologies, project leadership, and scalable tech solutions.

Bachelor's degree, Computer Science Engineering

Universidad Carlos III de Madrid

September 2019 - July 2024
  • Gained a strong foundation in computer science and engineering principles.

Exchange Program - Computer Science Engineering

UNSW

January 2023 - June 2023
  • International academic exchange expanding global perspective and technical adaptability.