Baoliang Shen
Arab Marketing Director at LonLord Industry (Shanghai) Co,. LTD.
Hong Kong Island, Hong Kong, China
Summary
🤩
Rockstar🎓
Top SchoolBaoliang Shen is an experienced technology and business leader with eight years in intelligent systems integration and a longer track record as a co-founder and CTO driving EPC general contracting for smart cities, transportation, and industrial automation. Based in Hong Kong, he now serves as Arab Marketing Director at LonLord Industry, combining technical depth in OA/CA/FA/SA/EA subsystems with cross-border commercial strategy across Belt and Road projects. He has hands-on engineering roots from roles at CHIMINE GROUP and a Bachelor in Information Engineering, which he leverages to translate complex technical requirements into executable EPC and PPP solutions. Baoliang’s expertise spans procurement, design, and construction of high-end digital infrastructure for sectors like smart education, healthcare, hotels, ports, and airports. He pairs product-minded innovation with on-the-ground delivery experience, often operating at the intersection of industrial automation and large-scale public-private projects. Outside formal profiles he also identifies as a coder, signaling continued engagement with software and implementation details.
8 years of coding experience
2 years of employment as a software developer
Bachelor, Information Engineering, Bachelor, Information Engineering at 山东外贸职业学院
Github Skills (37)
dedicated10
spark10
data-pipelines10
job-scheduler10
data-engineering10
big-data10
user-interface10
hadoop10
apache10
java10
data-ingestion10
task-scheduler10
azkaban10
airflow10
pipeline10
Programming languages (4)
Github contributions (5)
dailidong/DolphinScheduler
May 2019 - Jan 2022
Apache DolphinScheduler(Incubator,原Easy Scheduler)主要解决数据研发ETL 错综复杂的依赖关系，而不能直观监控任务健康状态等问题。DolphinScheduler以DAG流式的方式将Task组装起来，可实时监控任务的运行状态，同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。
Contributions:7 commits in 2 years 7 months
dagschedulerapachebig-dataspark
lenboo/dolphinscheduler
Mar 2019 - Sep 2022
Easy Scheduler主要解决数据研发ETL 错综复杂的依赖关系，而不能直观监控任务健康状态等问题。Easy Scheduler以DAG流式的方式将Task组装起来，可实时监控任务的运行状态，同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。
Contributions:1 PR, 909 pushes, 155 branches in 3 years 5 months
dagschedulersparketlelasticsearch
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