Daniel Ashton is a Senior Data Engineer at Bitboundaire, with over 6 years of experience building impactful data solutions across North America, Europe, and Latin America. They have designed cloud-native platforms that enhance scalability, automation, and cost-efficiency, and have a proven track record of optimizing data processing using tools such as Databricks, Spark, and Airflow. Daniel has successfully migrated legacy systems to modern architectures, applied Generative AI to improve workflows, and established secure, compliant infrastructures. Currently pursuing a Bachelor's degree in Computer Science from UniCEUB, they remain dedicated to making data smarter, faster, and more reliable.
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