Angel Conde

Angel Conde is a data platform and cloud engineer specializing in large-scale data infrastructure on AWS. His work focuses on modern data lake architectures, distributed processing with Apache Spark, and open table formats such as Apache Iceberg. Angel is particularly interested in data governance, performance optimization, and building scalable data platforms that enable organizations to treat data as a product. He actively explores emerging patterns in data lakehouse architectures and cloud-native analytics.