Practical Data Engineering with Apache Projects: Solving Everyday Data Challenges with Spark, Iceberg, Kafka, Flink, and More
暫譯: 實用數據工程與 Apache 專案：使用 Spark、Iceberg、Kafka、Flink 等解決日常數據挑戰

Dunith Danushka has over 10 years of experience in the data analytics domain, including real-time analytics, stream processing, streaming data platforms, and event-driven systems. Throughout his career, he has developed, supported, and designed large-scale data-intensive applications, led teams who did that, and helped customers build their own.
His transition from engineering to solution architecture, developer relations, and now Product Marketing at EDB has given him a comprehensive outlook on the data space. His goal is to provide practical, hands-on guidance to help aspiring data engineers bridge the gap between theoretical knowledge and real-world applications.

Dunith Danushka 在數據分析領域擁有超過 10 年的經驗，包括即時分析、串流處理、串流數據平台和事件驅動系統。在他的職業生涯中，他開發、支持和設計了大規模數據密集型應用程式，並領導了執行這些工作的團隊，幫助客戶建立自己的應用程式。
他從工程轉型到解決方案架構、開發者關係，現在在 EDB 擔任產品行銷，這使他對數據領域有了全面的看法。他的目標是提供實用的、動手的指導，幫助有志於成為數據工程師的人縮小理論知識與實際應用之間的差距。