Summary
Salvatore Campagna is a senior software engineer with nine years of experience specializing in storage engines, time-series databases, and performance engineering. Based in Turin, he has driven significant storage and indexing optimizations at Elastic—building TSDB numeric compression and document-ID strategies that cut storage by 20–30% (and up to 30–50% combined) and unlocked high-cardinality observability use cases. His background spans embedded systems, autonomous driving platforms, and finance-grade engineering at companies like TomTom, Adyen, and King, giving him a rare blend of low-level systems expertise and cloud-scale data engineering. He pairs strong algorithmic and data-structure instincts with practical ML and streaming knowledge from Udacity nanodegrees. Notably, his Lucene internals work and sparse doc-values designs have become foundational for large-scale observability workloads. He is passionate about clean, efficient code and turning mathematical ideas into tangible infrastructure savings.
9 years of coding experience
9 years of employment as a software developer
ITIS "G.B. Pentasuglia" - Matera
Deep Learning Nanodegree Data Processing, Deep Learning Nanodegree Data Processing at Udacity
Master of Science Computer Science Engineering, Master of Science Computer Science Engineering at Politecnico di Torino
English