Hello, I'm

Ricardo Fernandez.

Technical & Business Leader | Head of Engineering

I Solve Problems.

From business strategy to technology — I bridge both worlds to turn complex challenges into scalable solutions. Building data ecosystems, empowering teams, and driving innovation that delivers measurable impact.

About Me.

A little bit about who I am and what I do

Ricardo Fernandez

I'm an experienced Data Leader based in Barcelona, specializing in transforming data into a strategic asset that fuels innovation, efficiency, and growth. With over five years of leadership in top-tier data departments, I design robust data architectures, optimize processes, and deliver impactful projects that drive measurable results.

I'm also passionate about teaching — as an Assistant Professor at UPC, I guided students through programming, algorithms, and software project development. I believe in people-centric leadership that combines technical expertise with a people-first mindset.

Technologies I work with

Python SQL Airflow DBT Redshift PostgreSQL Spark ETL/ELT Machine Learning XGBoost Scikit-Learn GANs NLP Deep Learning AWS S3 / Kinesis ECR / Fargate Aurora Docker CI/CD Tableau Amplitude GA4 Git People Management Data Strategy Organizational Design Delivery Management

Experience.

Where I've worked and what I've built

Nov 2025 — Present

Head of Engineering

DEBOS

Accountable for the system in which engineers operate, enabling teams to deliver high-quality outcomes in a predictable and sustainable way. Retaining ownership of the Data department's direction and long-term evolution.

  • Own people management for engineers: growth plans, performance evaluation, and career development
  • Primary alignment point between engineering, product, and operations
  • Developing future Tech Leads and Engineering Managers within the organization
May 2025 — Present

Head of Data

DEBOS

Defined and led the execution of the company's data and technology strategy, aligning product, operations, and engineering around a coherent, scalable technical vision.

  • Designed the core data and analytics platform for product capabilities and operational monitoring
  • Established architectural and governance principles for regulated, multi-stakeholder environments
  • Built a durable data foundation supporting product growth, operational efficiency, and regulatory readiness
Sep 2021 — May 2025

Assistant Professor

Universitat Politècnica de Catalunya

Guided students in programming techniques, algorithms, and data structures, enabling them to undertake medium-sized software projects.

  • Taught software project development from documentation to design principles and OOP
  • Led medium-sized development teams and organized project stages
  • Fostered collaborative learning in problem-solving and logical reasoning
Apr 2024 — Apr 2025

Head of Data

Habitissimo

Spearheaded the company's transformation into a fully data-driven organization, excelling in strategic data management, infrastructure modernization, and advanced analytics.

  • Migrated on-premise infrastructure from OVH to AWS (Redshift & Aurora)
  • Optimized Airflow ETL pipelines achieving 35% reduction in processing times
  • Achieved 18% reduction in overall costs through strategic data practices
  • Deployed ML models for tag prediction, CPL optimization, and automated description generation
Aug 2018 — Apr 2024

Data Specialist: Scientist, Engineer & ML Engineer

CaixaBank

Played a key role in the company's strategic shift towards digital transformation within AI and the Data-Driven World. Led AI innovation projects and cloud migration strategy.

  • Built fraud detection with Autoencoders, LOF, and XGBoost; fake signature detection with GANs
  • Led on-premises to Cloud architecture migration with DataLake/LakeHouse strategy
  • Defined CI/CD, storage, data lineage, and ML lifecycle strategies
  • Mentored junior candidates from CaixaBank and Microsoft WONNOW Award
Mar 2016 — Aug 2018

Data Science Engineer & Business Intelligence

Atrápalo

Defined and implemented ML infrastructure and AWS data architecture. Managed BI engineering including real-time event consumption and legacy system migrations.

  • Built ML infrastructure from AWS ML services to intelligent gateway for local and cloud models
  • Defined AWS data architecture with S3, Kinesis, Redshift, and EC2
  • Migrated legacy SAP BO infrastructure to AWS Redshift with User Centric DWH

Get in Touch.

Have a project in mind or just want to say hello?

I'm always open to new opportunities and interesting conversations. Whether you have a question or just want to connect, feel free to reach out!

Say Hello