Fernando Martínez Gallego

Need a Senior Data Engineer who can own your data platform end-to-end — from architecture to production?

I help companies design, build, and optimize enterprise-grade DataLakeHouses and ETL pipelines on AWS, Azure, and Databricks. Whether you're migrating a legacy system to the cloud, scaling your Spark jobs, or building event-driven data architectures from scratch, I deliver production-ready solutions that are performant, maintainable, and cost-efficient.

What I bring to your project:

6+ years of hands-on Data Engineering for Fortune-500 clients across Banking (Santander, OpenBank), Energy (Vivo Energy), Insurance (WM Gruppe), and Retail (Carrefour).

Deep expertise in Apache Spark and Scala optimization — I've been the SME and Technical Reference for entire data platforms.

Full-stack cloud proficiency: AWS (EMR, Glue, Redshift, S3, Kinesis, Athena), Azure/Databricks, and Snowflake.

Modern table formats (Apache Iceberg, Delta Lake) and event-driven architectures.

Certified in Databricks, Snowflake, and AWS.

What sets me apart:

I'm not just a pipeline builder — I'm the engineer your team leans on for architecture decisions, performance tuning, and technical debt refactoring. I take full SDLC ownership (dev, pre-prod, production) and communicate proactively with stakeholders. I've consistently delivered under pressure for regulated industries where data quality and reliability are non-negotiable.

Typical deliverables:

DataLakeHouse architecture design and implementation (AWS/Databricks)

Spark/Scala ETL pipeline development and optimization

Cloud migration (legacy to AWS/Azure/Snowflake)

Performance tuning and cost optimization (FinOps)

Event-driven orchestration with Airflow

Data platform technical leadership and mentoring

Logistics: Remote-first, EU-based (CET timezone), B2B invoicing, English as working language. Available for missions of 3-12 months.