Tech Focus: Hadoop, AWS, Spark, Presto, Druid. Distributed Storage, ETL platform.Fully responsible for the development of big-data platform and monitoring system. Include the following works:Build and optimize large scale of big-data platform (100~1000)Data Ingestion Pipeline including batch and realtimeDrive customized query engine for video ads data (Powered by Presto)Lead big-data platform shift from on-premise to AWS.Data oriented integration test framework.Cost efficiency under AWS CloudDrive data management, including schema management, unified data API service, authentication&authorization.Data lake adoption.Present 3 speeches on QCon 2017 and ArchSummit2017, ArchSummit2019 respectively.The evolution of FreeWheel Data Platform http://2017.qconbeijing.com/presentation/844/The practice of FreeWheel OLAP https://archsummit.infoq.cn/2017/beijing/presentation/242The practice of FreeWheel Real-Time Platform https://archsummit.infoq.cn/2019/beijing/presentation/2062

Audience Data PlatformHadoop&HBase PlatformDMP Big-Data PipelineMicrosoft Azure Data Platform

Yahoo Hadoop Team & Grid SolutionsWorking on Hadoop, HBase, Pig, Hive/Hcatalog, Oozie, Spark, StormGrid Managements on tens of thousands of nodesProvide techinical solutions for All Yahoo Grid users.

Work as Distributed R&D engineer1) Responsible for research and development of HBase Kernel, provide high availability and performance in production.2) Design and develop a new monitoring platform supporting real-time alarm and statistical analysis, which is compatible with distributed frameworks (Hadoop/HBase/Storm).3) Responsible for HBase system troubleshooting, JVM parameter tuning, and table design.

Main research area：Big Data, distributed computing, resource management.My research topic: The key technology for accelerating small jobs in distributed computing.(面向小作业并行编程框架的关键技术研究[D]. 2012.)