Summary
Diego Lopes is a Lead Data Engineer based in São Paulo with 9 years of experience designing and operating large-scale, mission-critical data platforms across cloud and on-prem environments. He has deep expertise in distributed databases and lakehouse architectures—having built a 12-node Cassandra cluster processing billions of writes and architected S3+Iceberg analytics with Trino federation for low-latency cross-store queries. Diego blends hands-on engineering with research: alongside industry roles he is fine-tuning Transformer-based LLMs to translate geospatial natural language into PostGIS SQL, bridging NLP, GIS and production databases for Brazilian Portuguese. He consistently delivers reliability (99.99% availability at Pulsus), exactly-once pipelines, and pragmatic metadata governance to speed data discovery and reduce downstream errors. Colleagues know him for translating ambiguous business needs into robust data models and for tooling platforms that enable fast, auditable ML feature engineering.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science Artificial Intelligence, Master's degree Computer Science Artificial Intelligence at USP - Universidade de São Paulo
Postgraduate Degree Digital Security Governance and Data Management, Postgraduate Degree Digital Security Governance and Data Management at Pontifícia Universidade Católica do Rio Grande do Sul
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
English, Portuguese, Italian