Han Jiang
Senior Software Engineer at Apple
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolHan Jiang is a Senior Software Engineer in Austin with five years of industry experience building scalable, cloud-native systems across advertising, e-commerce, and search. He has deep backend expertise in Java, C++, Python, and distributed systems, and has architected highly available AWS services for audio advertising and global content platforms. At Amazon he led cross-region expansions and migrations from monolithic databases to Aurora/DynamoDB, and now contributes to Apple Advertising Platforms. Han is also an active open-source contributor to the OpenSearch Data Prepper project, where his refactorings improved index management and extensibility for large-scale ingestion. Known for pragmatic system design and a strong grounding in security, DevOps and data engineering, he combines hands-on coding with technical leadership. He brings a rare blend of production-grade engineering at hyperscalers and practical open-source impact.
5 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at China Agricultural UniversityUniversity of Illinois Urbana-ChampaignAssociate of Science (A.S.), Computer Engineering, 4.00/4.00, Associate of Science (A.S.), Computer Engineering, 4.00/4.00 at Parkland College
English, Chinese
Github Skills (12)
data-ingestion10
javas10
opensearch10
index-management10
analytics10
java10
api-design9
api9
unit-testing8
metric7
logfile7
observability7
Programming languages (2)
Github contributions (5)
opensearch-project/data-prepper
Oct 2021 - Jan 2022
OpenSearch Data Prepper is a component of the OpenSearch project that accepts, filters, transforms, enriches, and routes data at scale.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:38 reviews, 20 commits, 19 PRs in 3 months
Contributions summary:Han's contributions primarily involve refactoring and enhancing the OpenSearch Sink component within the data-prepper project. They refactored index-related operations into `IndexManager` classes to improve extensibility. Further, they modified ISM policy management strategies and added support for custom index types and time-based patterns in index names. This work focused on improving the flexibility, and functionality of the OpenSearch integration.
tracesanalyticsprepperfiltersobservability
jianghancn/data-prepper
Oct 2021 - Jan 2022
Data Prepper is a data ingestion component that pre-processes documents before indexing them in OpenSearch.
Contributions:29 pushes, 14 branches in 3 months
prepperdata-ingestionindexingopensearchingestion
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