Work History

Total Experience

6 yrs 10 mos

Nov 2022 — Present · 3 yrs 10 mos • Remote

Promoted · 2 Roles

Promoted to Tech Lead

Feb 2026 — Present · 7 mos

▹ Founded the Data Platform team as its sole member — migrated a legacy, non-scaling platform to a modern scalable architecture, then grew the team to 8 engineers as Tech Lead, mentoring engineering talent and shaping enterprise platform strategy.
▹ Featured in official Tinybird Case Study ↗: Architected real-time partner reporting under load, scaling CDC pipelines across 300 TB/mo and 1.5M+ requests/mo at <50ms p99 latency.
▹ Spearheading AI engineering initiatives: developing autonomous agents, LLM toolchains, and Model Context Protocol (MCP) servers to power developer and platform workflows.
▹ Driving developer tooling, self-service data ingestion pipelines, and strict SLA observability.

Team Leadership AI Agents & MCPs Tinybird Apache Airflow Snowflake DBT Kubernetes Apache Kafka Terraform

Nov 2022 — Feb 2026 · 3 yrs 3 mos

▹ Joined Fever when there was no dedicated data platform team, establishing the platform foundation and core architecture from the ground up.
▹ Migrated enterprise Airflow clusters from LocalExecutor to KubernetesExecutor & CeleryExecutor for high-scale parallel execution.
▹ Deployed and managed Kubernetes applications and data infrastructure declaratively using Helm and Argo CD.
▹ Implemented automated CI/CD pipelines, Terraform infrastructure as code, and data transformations with DBT, Tinybird and Snowflake.

Apache Airflow KubernetesExecutor CeleryExecutor Helm Argo CD Snowflake DBT Tinybird Terraform

Jun 2021 — Nov 2022 · 1 yr 6 mos • Granada, Spain

Jun 2021 — Nov 2022

▹ Maintained and optimized production Apache Airflow clusters using KubernetesExecutor.
▹ Developed custom Airflow deferrable operators to enable efficient asynchronous task execution without blocking worker slots.
▹ Built reliable ETL/ELT pipelines and data quality monitoring workflows.

Apache Airflow KubernetesExecutor Deferrable Operators Python Docker PostgreSQL

Apr 2021 — Jul 2021 · 4 mos • Granada, Spain

Apr 2021 — Jul 2021

▹ Developed PostCOVID-AI, an intelligent research framework to analyze behavioral and emotional indicators by processing smartphone sensor data streams.
▹ Applied statistical modeling and data preprocessing pipelines for academic research publication.

Python Data Science Machine Learning Mobile Sensors Statistical Analysis

(Formerly 4iQ)

Feb 2020 — Jun 2021 · 1 yr 5 mos • Granada, Spain

Feb 2020 — Jun 2021

▹ Built Python microservices and Flask REST APIs, containerised with Docker and deployed on Kubernetes over AWS (EKS, EC2, S3, KMS).
▹ Modelled data across relational (MySQL) and document (MongoDB) stores, with ElasticSearch powering full-text search over large datasets.
▹ Wrote data collection and web scraping components with BeautifulSoup to feed downstream enrichment services.
▹ Safeguarded releases with pytest integration suites and a Gitflow branching workflow.
▹ Started as Software Engineering Intern (Nov 2019 — Feb 2020) prior to full-time promotion.

Python Flask Microservices REST APIs Docker Kubernetes MongoDB Elasticsearch AWS

Academic background in Computer Science, international study, and honors recognition.

2016 — 2020

Universidad de Granada

BSc in Computer Science (Grado en Ingeniería Informática)

Top 15% national academic rank. Member of SEDEA (Sociedad Española de Excelencia Académica).

Bachelor's Final Project HOW-R-U: 10 / 10 (with Honors)

2018 — 2019

Budapest University of Technology and Economics (BME)

Computer Science (Erasmus+ International Exchange)

International academic exchange focused on Computer Science, Networks & Distributed Systems.

Cisco CCNA Routing & Switching certification