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Jose Luis Garcia RiquelmeJR
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Jose Luis Garcia Riquelme

@joseluisgarciariquel

I build petabyte-scale, low-latency market data platforms for financial and crypto markets.

Spain
Message

At Version 1, I architect petabyte-scale AWS market data platforms for SpiderRock and build ingestion, reporting, and regulatory pipelines for Galaxy Digital. I reduced vendor data ETL processing times and costs by 10x.

Previously at Keyrock, I developed and operated Python-based trading infrastructure for cryptocurrency markets, managing real-time data streams and execution workflows supporting portfolios of €5M+.

I also bring experience in energy forecasting, SQL infrastructure, DevOps collaboration, and computational physics research. I build production systems with Python, SQL, Kafka, Spark, AWS, Databricks, Kubernetes, and infrastructure as code.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Databricks logoDA

Databricks

Certification, Data Engineering

Earned the Databricks Certified Data Engineer Associate certification, validating skills in Databricks and data engineering.

Amazon Web Services logoAS

Amazon Web Services

Certification, Data Analytics

Earned the AWS Certified Data Analytics – Specialty certification, demonstrating expertise in AWS data analytics services.

Snowflake logoSN

Snowflake

Certification, Data Engineering

Earned the SnowPro Core certification, demonstrating proficiency in Snowflake data platform.

Python Institute logoPI

Python Institute

Certification, Computer Science

Earned the Python Programmer Associate (PCAP) certification, validating Python programming skills.

University of Murcia logoUM

University of Murcia

Bachelor of Science, Physics

Completed a combined BSc and MSc in Physics, providing a strong foundation in quantitative analysis and computational methods.

University of Murcia logoUM

University of Murcia

Master of Science, Physics

Completed a combined BSc and MSc in Physics, providing a strong foundation in quantitative analysis and computational methods.

Tech stack

Software and tools used professionally

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