Description

I help companies turn data into actionable insights and automate processes using modern data platforms and AI solutions.

With 8+ years of experience in Big Data, AI, and data-driven product development, I specialize in designing end-to-end solutions — from data pipelines and dashboards to AI-powered workflows.

I combine strong technical skills (Python, Spark, SQL, cloud platforms) with a business-oriented mindset, ensuring that every solution delivers real value.

I enjoy working on projects such as:

•Data pipelines and ETL processes

•Business dashboards and analytics

•AI-powered automation and workflows

•End-to-end data solutions

Available for remote, part-time projects.

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

ING Bank
Data Engineer and Product Owner
December 2022 - Today (3 years and 7 months)
Acting as Product Owner of a Big Data platform, managing priorities, coordinating stakeholders and contributing to roadmap definition. Previously worked as Scrum Master, improving team processes and delivery. Leading technical decisions in data pipelines (Spark, Airflow, Iceberg, Cloudera), including data modelling, CI/CD (Azure DevOps) and platform evolution. Managing production incidents and ensuring platform stability in a critical banking environment, working under pressure and tight deadlines. Led Root Cause Analysis across international teams and coordinated cross-team initiatives to identify issues and drive improvements. Delivered a technical presentation at an ING event in the Netherlands. Developed AI-related PoCs, including a RAG-based chatbot and an AIOps system for Cassandra logs to anticipate latency and availability issues.
Inetum España
Big Data Engineer / Data Engineer / Data Scientist
September 2018 - November 2022 (4 years and 2 months)
Progressively evolved into a technical lead role, mentoring junior engineers and leading technical decisions across multiple data and AI projects. Designed and implemented end-to-end data pipelines (ETL) using Spark, Hadoop and cloud technologies, working with large-scale datasets in production environments. Led and contributed to several high-impact initiatives, including automation of manual processes (Python, Selenium, Excel), reducing workload from ~3 hours to ~30 minutes, and optimization of Sparkjobs achieving up to 10x performance improvements. Participated in cloud migrations (AWS), development of machine learning solutions (predictive maintenance) and design of chatbots (Dialogflow, Oracle, LUIS). Worked closely with clients and stakeholders, leading technical discussions, delivering presentations, and contributing to proposals for public and private sector projects.