Tony Wei
Manager at KPMG Advistory Services Co.,Ltd.
New Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolTony Wei is an experienced IT manager and solutions consultant with over 20 years in financial systems, PeopleSoft HCM implementations, and customer service platform integrations, now leading advisory work at KPMG in New Taipei. He combines deep hands-on engineering from early career software roles with project and technical leadership across banks, call centers, and large ERP upgrades. On GitHub he contributes to prominent open-source projects like Apache Flink and Confluent’s Kafka Connect, improving Kinesis and S3 connector behavior (including Parquet handling and timestamp-based consumers), showing a practical focus on data streaming and test automation. Known for bridging product architecture and implementation, he brings pragmatic system upgrades, platform migrations, and performance-minded code refactors to complex enterprise environments.
10 years of coding experience
17 years of employment as a software developer
學士, 資訊工程學系, 學士, 資訊工程學系 at 中原大學
Github Skills (21)
amazon-kinesis10
kafka-connect10
apache-flink10
cloud-computing10
testing10
big-data10
kafka10
kin10
java10
javas10
aws10
amazon-s310
aws-s310
parquet10
s3-bucket10
Programming languages (3)
Github contributions (5)
apache/flink
Dec 2016 - Mar 2022
Apache Flink
Role in this project:
Back-end Developer
Back-end DeveloperContributions:33 commits, 34 PRs, 84 comments in 5 years 4 months
Contributions summary:Tony contributed significantly to the Flink Kinesis connector, focusing on enhancing its capabilities and addressing specific use cases. Their work involved implementing features to allow the Kinesis consumer to start from a specific timestamp or date, requiring modifications to several core classes, including those handling configuration, proxy interactions, and shard consumption. They also addressed a typo, refactored code for improved checkpointing behavior, and implemented configurable date format for timestamp-based start position.
pythonflinkconnectorsqlapache
confluentinc/kafka-connect-storage-cloud
Mar 2019 - Sep 2019
Kafka Connect suite of connectors for Cloud storage (Amazon S3)
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:26 commits, 1 PR, 22 comments in 6 months
Contributions summary:Tony primarily focused on improving the Kafka Connect S3 connector, specifically for Parquet file format handling. They addressed a typo and made a test stable by disabling S3 MD5 validation. The user added functionality to create real Parquet files within tests and introduced a configuration option for specifying the Parquet compression type. Additionally, they refactored code and addressed minor style issues.
sinkconfluent-cloudamazonamazon-s3cloud
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