Valladolid, Castilla and Leon, Spain
Database Reliability Engineer and Tech Lead with 6+ years building production-grade data infrastructure for Tier-1 financial institutions and high-growth startups. I specialize in complex database migrations and the reliability engineering that keeps critical workloads running — cross-engine moves (MySQL, MariaDB, SQL Server, MongoDB, Oracle → PostgreSQL), cloud modernization, and the platforms that come after. ─── Selected work • Zero-downtime GCP migration of 7+ production databases and a MongoDB sharded cluster • Snowflake multi-tenant data platform onboarding 20+ institutional clients (JP Morgan, Goldman Sachs) — near-zero incidents since launch • Reusable IaC frameworks that improved team delivery velocity 50–100% • 40% cost reduction on per-client data delivery infrastructure ─── Building MigrateDB I'm currently building MigrateDB (migratedb.io) — a self-hosted migration engine that moves MySQL, MariaDB, SQL Server, SQLite, MongoDB and Oracle to PostgreSQL. Schema, data, indexes, foreign keys, constraints and sequences. Pre-migration preview, real-time progress, post-migration validation. I write about it here weekly. ─── Tech Cloud: GCP (CloudSQL, Compute, KMS), AWS (RDS, Redshift, Lambda, S3, DMS) Databases: PostgreSQL, MySQL, Oracle, MongoDB, Snowflake, SQL Server IaC / DevOps: Terraform, OpenTofu, GitLab CI/CD, Ansible, Docker, Packer Languages: Python, Go, SQL, Bash ─── Open to Database migration projects — Oracle license escapes, SQL Server consolidations, MongoDB → PostgreSQL moves, version upgrades with tight downtime windows. Senior roles in data infrastructure, reliability, or migration leadership at scale. Tech Lead, Staff Engineer, Engineering Manager, Head of Data Platform — title matters less than the depth of the problem. DM me.
Building a self-hosted database migration engine - migratedb.io
Architected and led GCP cloud migration from on-premises infrastructure, designing 7 CloudSQL databases and 1 MongoDB cluster with zero production downtime Built infrastructure-as-code framework from scratch using Terraform/OpenTofu modules, enabling reproducible deployments across environments and reducing provisioning time by 75% Established database governance standards including encryption at rest/in transit, network connectivity policies, backup strategies, and disaster recovery procedures Lead team of 4 senior engineers as technical decision-maker for all database-related architecture, providing hands-on mentorship and defining implementation strategies Designed comprehensive onboarding program and career development paths for database reliability engineers, actively participating in technical interviews and hiring decisions Drove 50%+ improvement in team velocity by implementing focused task prioritization frameworks and eliminating low-value work through systematic review processes
Led cross-functional team of 5 data engineers and analysts, introducing Agile methodologies including sprint planning, task estimation, and clear acceptance criteria Developed reusable Terraform modules for AWS infrastructure deployment, enabling team self-service via GitLab CI/CD and accelerating delivery speed by 100%+ Built ETL pipelines from NetSuite ERP to AWS Redshift, processing daily transactional data for business intelligence and financial reporting Optimized Redshift query performance through distribution key tuning, sort key selection, and VACUUM/ANALYZE automation, reducing dashboard load times by 60%
Designed and launched Snowflake-based data delivery platform from concept to production, driving acquisition of 20+ institutional clients including JP Morgan, Goldman Sachs, and GPBullhound Owned end-to-end product lifecycle: data governance policies, secure replication pipelines, cost optimization strategies (reduced per-client costs 40%), and self-service API for client onboarding Built knowledge graph infrastructure supporting AI-powered financial analytics, improving entity resolution accuracy and enabling new product capabilities for hedge fund clients Maintained high-volume data pipelines processing 1TB+ daily (several TB in parquet storage), serving real-time analytics to Tier-1 financial institutions with 99.9%+ uptime Progressed from Junior to Senior DBA in 4 years through consistent delivery of high-impact projects and technical leadership in Oracle-to-AWS RDS migration initiatives Developed Python/Docker-based ETL frameworks and orchestrated CI/CD pipelines in GitLab, establishing infrastructure-as-code practices using CDK and Terraform
Recognized with 'Rookie of the Year' award for exceptional contributions in first year, demonstrating rapid learning and high-quality technical execution