Ádám Nagy is a data engineer with eight years of experience building reliable, maintainable data platforms across cloud-native and analytics-focused environments. He excels in Python, Snowflake, AWS, Airflow and dbt, and has driven impactful migrations—from on‑prem CDC Docker setups to Kubernetes and from legacy Kimball warehouses to dbt‑based ELT—reducing pipeline runtimes and operational toil. At Benify and Hearsay he improved observability, introduced CI/CD and testing for data workflows, and operationalized streaming and CDC ingestion at scale; earlier work at Cloudera contributed to enterprise analytics features used for real‑time product insights. He blends technical delivery with people skills—running trainings, presentations and documentation—to improve team workflows and onboarding. A practical open-source contributor, he has backend commits to Hortonworks’ Cloudbreak project around authentication, provisioning and data lake management. Outside work he’s an avid cook, photographer and specialty‑coffee enthusiast, reflecting a detail-oriented mindset he brings to data engineering.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Budapest University of Technology and Economics
CDP Public Cloud is an integrated analytics and data management platform deployed on cloud services. It offers broad data analytics and artificial intelligence functionality along with secure user access and data governance features.
Role in this project:
Back-end Developer
Contributions:267 reviews, 124 commits, 130 PRs in 2 years 9 months
Contributions summary:Ádám contributed to the development of backend functionalities within the "hortonworks/cloudbreak" repository, focusing on adding validation and implementing changes to handle database interactions. The commits showcase the user's work on core API components related to stack authentication and stack requests. They also demonstrate contributions to data lake management, specifically making FreeIPA and RDS provisioning run in parallel.
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