Zongsi Zhang
Lead Data Engineer
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZongsi Zhang is a Lead Data Engineer with 10 years of experience designing and operating large-scale data platforms, currently based in San Francisco. He has driven data lake migrations and pipeline architecture at Grab and now leads data engineering at Wherobots, combining hands-on implementation with team leadership. His background includes performance-focused systems work from early internships through production-grade data tooling, and he contributed significantly to Apache Sedona by building a robust shapefile parser for large geospatial datasets. Comfortable across cloud-native data stacks and low-level parsing optimizations, he blends pragmatic engineering with a “software farmer” ethos—cultivating reliable systems that scale.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, 3.6, Master's degree, Computer Science, 3.6 at Arizona State UniversityBachelor of Engineering (B.E.), Software Engineering, 3.36, Bachelor of Engineering (B.E.), Software Engineering, 3.36 at Southeast University
Stackoverflow
1reputation
3kreached
1answer
2questions
Github Skills (14)
javas10
java10
spatial-data9
geospatial9
spatial9
geo9
unit-testing8
data-structures8
data-structure8
cluster-computing7
apache-spark6
hdfs6
hadoop6
micronaut6
Programming languages (6)
Github contributions (5)
apache/sedona
Jun 2017 - Sep 2018
A cluster computing framework for processing large-scale geospatial data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 56 commits, 11 PRs in 1 year 3 months
Contributions summary:Zongsi primarily focused on developing the shapefile parser functionality within the GeoSpark framework. Their contributions involved adding a shapefile parser, including functionalities like parsing different shape types (point, polyline, polygon, and multipoint) and integrating with GeoSpark's existing data structures. They modified existing parsing utilities to utilize ByteBuffers and refactored code to support handling of multi-file datasets, including processing indexes. Furthermore, the user added tests for the shapefile parser and implemented loading different shape types from the shapefile.
geospatialpythonspatial-analysisspatial-sqlcluster-computing
wherobots/airflow-providers-wherobots
Apr 2024 - Mar 2025
Airflow extensions for communicating with Wherobots Cloud
Contributions:7 releases, 22 reviews, 49 PRs in 11 months
airflowairflow-operatorsetlgeospatialwherobots
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.