Daniel Burgos is a Database Specialist with over 15 years of hands-on experience optimizing MySQL and PostgreSQL fleets and a deep focus on OLAP systems like ClickHouse and Snowflake. He combines cloud expertise across AWS and GCP with Linux-centric performance tuning and automation skills using Python, Bash and Ansible to deliver robust day-0 to day-2 operations. As a technical lead and product engineer at Percona and head of data platform at Rappi he built observability-first monitoring stacks (Grafana, Prometheus, ClickHouse) and architected OLTP-to-OLAP pipelines for real-time analytics. An active speaker and author, he shares practical insights at Re:Invent and Percona Live and maintains automation examples and tooling on GitHub that reflect his emphasis on reproducible, production-ready database workflows.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electrical Electronics and Communications Engineering at Pontificia Universidad Javeriana
Contributions:25 commits, 16 pushes in 5 years 3 months
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