Zhengte Wei is a Beijing-based Data Engineer with four years of hands-on experience building backend systems and analytics infrastructure. He contributes to Apache Doris, where he designed and implemented semantic checks, job creation, and scheduling for statistics collection—work that improved task partitioning and configurable job/timeouts for a high-performance analytics database. Comfortable in large-scale data environments, he blends pragmatic engineering with reliability-focused features that support production scheduling and observability. Though primarily focused on big data back-end work, his GitHub indicates openness to senior C++ roles, highlighting both depth in systems programming and appetite for stepping into more advanced engineering challenges.
Apache Doris is an easy-to-use, high performance and unified analytics database.
Role in this project:
Back-end Developer
Contributions:118 reviews, 23 commits, 73 PRs in 9 months
Contributions summary:Zhengte's contributions focused on implementing features related to statistics collection within the Apache Doris database. They designed and implemented the semantic checking module and job creation module for statistics collection. The user added two configurations related to timeout time of a single task and the maximum number of running jobs. The user also worked on scheduling statistics jobs and generating executable tasks, dividing jobs into multiple tasks.
Apache Doris(Incubating) is an MPP-based interactive SQL data warehousing for reporting and analysis.
Contributions:494 pushes, 154 branches in 2 years 7 months
flink-sqldbmsdata-warehousingapache-dorisdoris
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