Acerca de Javier
I help companies automate repetitive work and build AI-powered workflows — so their teams focus on what actually matters.
With 6+ years of experience in data engineering and cloud architecture (GCP), I specialize in designing n8n/Make automations, AI agents (LLMs, RAG, document processing), and data pipelines that run reliably in production. My stack: Python, FastAPI, BigQuery, Airflow, Docker, and the full GCP ecosystem.
Previously Senior Data Engineer at Ebury (fintech, 3 years), Lead Data Engineer at StubHub International, and Senior Data Engineer at Twinco Capital — building ETLs, data warehouses, ML pipelines, and APIs at scale. Now CTO at Dekano, where I build AI products like Prisma (intelligent document processing).
What I deliver: n8n/Make workflow design and implementation, AI agent development (LLMs, RAG, MCP servers), data pipeline architecture (Airflow, DBT, BigQuery), API development (FastAPI, Cloud Run), and end-to-end automation of business processes.
MS in Artificial Intelligence (UPM) + BS in Computer Science (UAM). I write about Python and automation on Medium.
I typically deliver in days what others quote in weeks. Let's talk about what you need automated.
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Competencia profesional completa
Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto
Experiencia
- DekanoChief Technology Officernoviembre de 2024 - Hoy (1 año y 7 meses)• • Lead the technical architecture and development of key products like Prisma. I specialize in building scalable, AI-driven solutions, focusing on data pipelines, serverless implementations, and cloud integrations. My expertise ensures the scalability, accuracy, and efficiency of our tech nology while optimizing resources and reducing operational costs—critical for an early-stage startup.
- MediumWriterjulio de 2024 - Hoy (1 año y 11 meses)• As a hobby I'm starting to write my python ideas or AI implementations in Medium. @javier_roman 2
- Twinco CapitalSenior Data Engineerdiciembre de 2023 - abril de 2025 (1 año y 4 meses)• • Developed ETLs using python, Airflow and PyAirbyte.• • Designed python SDKs to create ETLs within the company, using best practices in OOP and Py dantic for validation.• • Deploy containerized services in Google Cloud Run and Google Cloud Functions.• • Designed and implemented APIs using Pydantic and FastAPI for integration with our web tool.• • Contributed to the construction of the company's data warehouse using DBT, SQL and Bigquery.• • Developed ML Engineering projects using Langchain, Generative AI, and OCR for document dig italization.• • Assisted the tech team in dockerizing their platform using Docker and Docker Compose.• • Developed scraping processes to extract relevant information using Playwright and Scrapy.• • Implemented CDC tools such as Google Datastream for real-time synchronization between the transactional database and analytics.
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Formación
- MS in Artificial IntelligenceUniversidad Politécnica de Madrid2019Machine Learning, Computer Vision, NLP, Neural Networks, Data Science
- BS in Computer ScienceUniversidad Autónoma de Madrid2018Software Engineering, Algorithms, Data Structures, Databases, Operating Systems, Web development, Neural Networks for Time Series