Summary
Hana Alaydrus is a data engineer with a decade of hands-on experience designing cost-conscious, scalable data platforms and ETL systems across GCP and Azure. She has led BI architecture evaluations, cut BigQuery and Kubernetes costs substantially, and deployed Datahub and Airflow on Kubernetes to improve discoverability and reliability. Her background spans real-time and batch pipelines, CDC integrations (Debezium, Kafka), Spark/Scala, and pragmatic optimizations that reduced incidents and operational spend. She also trains engineers on end-to-end open-source data stacks and has a history of building personalization and notification pipelines serving millions of users. Based in Jakarta, Hana combines strong engineering craft with a clear business focus on delivering measurable cost and performance gains.
10 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Information System and Technology, Bachelor’s Degree, Information System and Technology at Institut Teknologi Bandung (ITB)
English, Indonesian