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Daniel Ahn has worked in the software engineering and data engineering fields since 2012. Daniel began their career as a Software Intern at AAI Corporation in 2012. In 2013, they worked as a Research Assistant at Johns Hopkins School of Medicine. From 2014-2016, they worked as a Software Engineer at Lockheed Martin. From 2016-2018, they worked as a Software Engineer at Leidos where they developed a text classification system with machine learning for a client in the public sector, developed and maintained an enterprise search solution, designed and implemented Hadoop data ingestion and ETL pipelines, designed and developed web-based dashboards, and designed and developed graph search backends. In 2018, they worked as a Big Data Consultant at Optiv Inc where they designed, implemented, and operated a large-scale security data pipeline for a Fortune 10 company. Since 2020, they have been working as a Data Engineer at Reflexive Concepts.

Daniel Ahn holds a Master of Science (M.S.) in Computer Science from The Johns Hopkins University, which they obtained in 2018. Daniel also holds a BS in Computer Science from The Johns Hopkins University, which they obtained in 2014. Additionally, they have obtained several certifications, including a Databricks Certified Developer - Apache Spark 2.x for Scala from Databricks in 2019, a Certified Kubernetes Application Developer from The Linux Foundation in 2022, an Elastic Certified Engineer from Elastic in 2018, an Elastic Certified Analyst from Elastic in 2020, and an AWS Certified Cloud Practitioner from Amazon Web Services in 2018.