Ricardo Galiardi is a Principal Data Architect and Senior Data Engineer based in São Paulo with eight years focused on building scalable cloud-native data platforms and AI/ML solutions for global clients. He has led Lakehouse modernizations on Databricks, optimized TB–PB batch and streaming pipelines with advanced Spark techniques, and delivered observability, FinOps and RAG-driven incident response integrations that improved SLAs and reduced cloud waste. His background spans healthcare and pharma analytics—designing image-processing pipelines and ML models for cancer detection and optimizing pharmaceutical field operations—combined with hands-on work across Azure, GCP and AWS. A practiced technical leader and mentor, he balances architecture, governance and delivery for distributed teams across the UK, US and India. Notably, he couples deep engineering craft with a pragmatic business lens from an MBA in Data Science and continuous upskilling in probability and statistics at USP.
8 years of coding experience
22 years of employment as a software developer
Extension Course, Probability and Statistics for Data Science, Extension Course, Probability and Statistics for Data Science at USP - Universidade de São Paulo
Post Graduate, Data Science - Big Data, Post Graduate, Data Science - Big Data at PUC Minas
Data Scientist, Data Science, Data Scientist, Data Science at Data Science Academy
Mackenzie Presbyterian University
Bachelor's degree, Science in Economy, Bachelor's degree, Science in Economy at Faculdade de Ciências Econômicas e Administrativas de Osasco
Post Graduate, Software Engineering, Post Graduate, Software Engineering at Universidade São Judas Tadeu
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Ricardo Galiardi - Principal Data Architect Senior Data Engineer