Daniel Hernan Flor is an experienced Data Engineer with a strong background in data management and analytics. Currently working at Ring since July 2020, Daniel specializes in using AWS technologies, specifically AWS S3, Redshift, EMR, and Lambda, alongside developing and maintaining data pipelines with Airflow and Python. Prior experience includes roles at ASAPP, where Daniel focused on Kafka sources and data pipelines, and at Jam City, where Daniel utilized big data technologies such as Apache Spark and Databricks. Daniel's career also includes positions in business intelligence and ETL development at Swiss Medical Group, Farmacity, Deloitte, and COA Tecnología de la Información Aplicada. Daniel holds a degree in Computer Software Engineering from Universidad Tecnológica Nacional.
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