risingwavelabs/awesome-stream-processing
Nov 2024 – Feb 2025
3 Months active
Languages Used
MarkdownPythonSQLYAMLDockerfile
Technical Skills
Code OrganizationData AnalysisData GenerationDatabase ManagementDockerDocker Compose
emile-00
PROFILE
Emile-00
Emily Le developed and enhanced stream processing demos for the risingwavelabs/awesome-stream-processing repository, focusing on real-time analytics and data engineering challenges. She built an end-to-end dynamic pricing demo integrating Kafka, PostgreSQL, and RisingWave, using materialized views to track inventory and calculate prices based on demand. Emily standardized data types across demos to ensure reliable testing and improved documentation for easier onboarding. She also introduced synthetic data generators and IoT data producer services using Python and SQL, enabling reproducible, business-oriented experiments. Her work demonstrated depth in Docker-based orchestration, code organization, and technical writing, resulting in robust, testable demo environments.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
5
Lines of code
2,429
Activity Months3
Your Network
14 peopleSame Organization
@singularity-data.com4
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — No major bugs reported. Focused on delivering a business-ready dynamic pricing demo with real-time data and inventory tracking for risingwavelabs/awesome-stream-processing. Implemented end-to-end data flow from Kafka and PostgreSQL into RisingWave, with materialized views to monitor inventory and calculate dynamic pricing based on stock levels and demand, plus elasticity analysis. Dockerized the full stack (Kafka, RisingWave, PostgreSQL, Grafana) and added data producer scripts to enable local demos. This work provides a reproducible, testable environment for pricing experiments and real-time visibility into stock levels, accelerating stakeholder validation and revenue-oriented decision making. Commit: fbfd53417ca418db9299ff501db3fd578fd7b467.
1 Commits • 1 Features
Feb 1, 2025February 2025 — No major bugs reported. Focused on delivering a business-ready dynamic pricing demo with real-time data and inventory tracking for risingwavelabs/awesome-stream-processing. Implemented end-to-end data flow from Kafka and PostgreSQL into RisingWave, with materialized views to monitor inventory and calculate dynamic pricing based on stock levels and demand, plus elasticity analysis. Dockerized the full stack (Kafka, RisingWave, PostgreSQL, Grafana) and added data producer scripts to enable local demos. This work provides a reproducible, testable environment for pricing experiments and real-time visibility into stock levels, accelerating stakeholder validation and revenue-oriented decision making. Commit: fbfd53417ca418db9299ff501db3fd578fd7b467.
February 2025
December 2024
1 Commits
Dec 1, 20242024-12 Monthly summary for risingwavelabs/awesome-stream-processing focused on data correctness and demo stability. Primary work centered on aligning data types across demos to ensure reliable testing and clear demonstrations of stream processing capabilities.
December 2024
1 Commits
Dec 1, 20242024-12 Monthly summary for risingwavelabs/awesome-stream-processing focused on data correctness and demo stability. Primary work centered on aligning data types across demos to ensure reliable testing and clear demonstrations of stream processing capabilities.
November 2024
10 Commits • 4 Features
Nov 1, 20242024-11 Monthly Summary — RisingWave Awesome Stream Processing: Key features delivered, major bugs fixed, and measurable business value. Highlights include IoT demo and new simple demos with an IoT data producer service, a synthetic data generator for risk management, documentation and demo restructuring, and SQL enhancements for the sports betting demo. Repository: risingwavelabs/awesome-stream-processing.
10 Commits • 4 Features
Nov 1, 20242024-11 Monthly Summary — RisingWave Awesome Stream Processing: Key features delivered, major bugs fixed, and measurable business value. Highlights include IoT demo and new simple demos with an IoT data producer service, a synthetic data generator for risk management, documentation and demo restructuring, and SQL enhancements for the sports betting demo. Repository: risingwavelabs/awesome-stream-processing.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness92.6%
Maintainability91.6%
Architecture90.8%
Performance88.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileMarkdownPythonSQLYAML
Technical Skills
Code OrganizationData AnalysisData EngineeringData GenerationData ModelingData TypesDatabase ManagementDockerDocker ComposeDocumentationKafkaLink ManagementMaterialized ViewsPostgreSQLPython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline