Daniel Ahn
Data Engineer
Cockeysville, Maryland, United States
Summary
👤
Senior🎓
Top SchoolDaniel Ahn is a data engineer with 10 years of experience designing and operating large-scale, enterprise-grade big data pipelines and distributed systems. He has built production streaming and batch analytics using Kafka, Spark, Hadoop, NiFi, Airflow, and Elasticsearch, and migrated complex JVM systems to Kubernetes with Docker and Helm. His background spans security-focused deployments for Fortune 10 clients, machine learning-driven text classification, and scientific sequencing pipelines from his Johns Hopkins research work. Comfortable in Java, Python, and the JVM ecosystem, he also creates interactive data analysis notebooks and web dashboards to turn data into actionable insights. Based in Cockeysville, MD, Daniel combines hands-on implementation with pragmatic architecture, often bridging legacy enterprise apps and modern cloud-native analytics in the same engagement. An attentive learner and listener, he brings both operational rigor and a researcher’s attention to detail to production data platforms.
10 years of coding experience
4 years of employment as a software developer
Johns Hopkins University
Korean, English
Github Skills (65)
databases10
hadoop10
elasticsearch10
visualizations10
trino10
sql-query10
rest10
sql10
database10
search-engine10
observability10
data-science10
distributed-systems10
analytics10
java10
Programming languages (8)
Github contributions (5)
danielyahn/nifi_tookit_encrypt
Oct 2018 - Nov 2018
Contributions:5 commits, 4 pushes, 1 branch in 13 days
danielyahn/trino
Nov 2023 - Dec 2023
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Contributions:6 pushes, 1 branch in 20 days
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