risingwavelabs/awesome-stream-processing
Dec 2025 – Dec 2025
1 Month active
Languages Used
MarkdownPythonSQL
Technical Skills
KafkaNLPPythonRisingWavedata engineeringdata streaming
Jr_TS
PROFILE
Jr_ts
Yunji contributed to the risingwavelabs/awesome-stream-processing repository by developing two end-to-end real-time data streaming features. They built a Live Crypto-Sentiment Analyzer demo, integrating Kafka producers to stream random headlines and a Python UDF leveraging VADER for sentiment analysis, showcasing real-time NLP processing. Additionally, Yunji implemented a Real-Time E-Commerce Conversion Funnel using dbt and Kafka, enabling comprehensive funnel tracking from page views to purchases within a RisingWave streaming pipeline. Their work included improving documentation for data generation, resulting in clearer onboarding and setup. The features demonstrated strong integration of Python, Kafka, and dbt, reflecting solid depth in data engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
869
Activity Months1
Your Network
10 peopleShared Repositories
10
Work History
December 2025
5 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for risingwavelabs/awesome-stream-processing: Delivered two major features enabling real-time streaming demonstrations: Live Crypto-Sentiment Analyzer Tutorial and Demo; Real-Time E-Commerce Conversion Funnel using dbt and Kafka; Improved documentation readability for data generation; Across both features, demonstrated end-to-end real-time capabilities, with end-to-end pipeline using RisingWave, Kafka, VADER, and dbt; Key business value: faster onboarding, robust demo pipelines, clearer setup instructions; Technologies: Kafka, UDF, VADER, dbt, RisingWave streaming, Python/readme tooling.
5 Commits • 2 Features
Dec 1, 2025December 2025 performance summary for risingwavelabs/awesome-stream-processing: Delivered two major features enabling real-time streaming demonstrations: Live Crypto-Sentiment Analyzer Tutorial and Demo; Real-Time E-Commerce Conversion Funnel using dbt and Kafka; Improved documentation readability for data generation; Across both features, demonstrated end-to-end real-time capabilities, with end-to-end pipeline using RisingWave, Kafka, VADER, and dbt; Key business value: faster onboarding, robust demo pipelines, clearer setup instructions; Technologies: Kafka, UDF, VADER, dbt, RisingWave streaming, Python/readme tooling.
December 2025
Activity
Loading activity data...
Quality Metrics
Correctness96.0%
Maintainability92.0%
Architecture96.0%
Performance92.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
MarkdownPythonSQL
Technical Skills
KafkaNLPPythonRisingWavedata engineeringdata streamingdbtreal-time data processingsentiment analysisstream processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline