About Me

I'm a Senior Software Engineer dedicated to engineering the core foundations of modern platforms. My expertise lies in architecting high-performance distributed systems that scale from concept to global production.

At Revolut, I architected security-critical platform services that protect one of the world's largest fintech companies. I've designed and shipped cloud-native microservices and data platforms from the ground up, owning systems end-to-end — from architecture and API design through production operations, on-call reliability, and compliance. I set coding standards, introduced fault-tolerant patterns, and worked with engineering, data, and infrastructure teams to make architectural decisions that hold at global scale.

At Amazon, I led the design and delivery of cross-team customer-facing systems serving millions of daily users. I executed a zero-downtime migration from a monolith to a scalable microservices architecture on one of Amazon's highest-traffic checkout pages. I built data pipelines and dashboards that drove measurable business impact analytics, drove operational excellence as an on-call engineer through canary deployments and load testing, and mentored junior engineers through full project lifecycles — from initial design to production launch.

Before that, I worked as a Data Engineer building real-time streaming pipelines with Kafka, Spark, and Airflow across GCP and AWS — automating cloud infrastructure with Python and designing ETL systems that processed data at scale.

What I Do

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Distributed Systems

Designing high-throughput, event-driven architectures with Kafka, gRPC, and async Python — systems that handle millions of requests and never go down.

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Cloud Infrastructure

Production-grade systems on GCP and AWS — Kubernetes orchestration, Terraform IaC, CI/CD pipelines, and zero-downtime deployment strategies.

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Mentoring & Leadership

Guiding engineers from design to delivery. Setting coding standards, running architecture reviews, and building teams that ship reliable software.

Technologies

PythonJavaScalaSQLGCPAWSKubernetesDockerTerraformKafkaSparkPostgreSQLRedisAirflowgRPCLinux

Education

MSc in Big Data Analytics

University Carlos III of Madrid · 2020 — 2021

Thesis: Streaming data analytics in cloud workflows — real-time image analysis with Spark and pub/sub on Google Cloud Platform.

BSE in Computer Science & Software Engineering

Complutense University of Madrid · 2016 — 2020

Exchange semester at Eindhoven University of Technology (Erasmus+ Scholarship). Founded a student community on Data Science, organizing open talks with industry speakers.