Summary
Angelo Sparapano is a Data Platform Engineer based in Italy with a decade of professional experience and five years focused on building custom data platforms using EMR, EKS, S3, Spark, and Delta Lake. At Agile Lab he progressed from Data Engineer to Data Platform Engineer, designing and operating scalable data infrastructures that bridge big data processing and cloud-native orchestration. He combines hands-on Spark and Delta Lake expertise with Kubernetes-driven deployment patterns to deliver reproducible, production-ready pipelines. Angelo holds a Master's in Computer Science from Università degli Studi di Bari, bringing strong academic foundations to pragmatic engineering. Colleagues value his ability to translate complex data requirements into maintainable platform abstractions and automation. He often favors platform-level solutions that reduce downstream engineering toil and accelerate analytics delivery.
10 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Università degli Studi di Bari
English, French, Italian