amosproj/amos2024ws01-rtdip-data-quality-checker
Oct 2024 – Oct 2024
1 Month active
Languages Used
PythonYAML
Technical Skills
Backend DevelopmentCI/CDData EngineeringData QueryingDependency ManagementEnvironment Management
GBBBAS
PROFILE
Gbbbas
Worked on the amosproj/amos2024ws01-rtdip-data-quality-checker repository, delivering a feature upgrade to the Time Series Query Builder by improving JSON handling and refining the resampling process. Focused on backend development using Python and SQL, the work preserved critical output flags and introduced clearer function naming for resampled data, enhancing data quality checks and downstream analytics reliability. Updated dependencies such as Moto and PyArrow, and improved CI/CD workflows with GitHub Actions and YAML configuration, reducing build risk and ensuring compatibility. These efforts stabilized the development environment, improved test reliability, and positioned the codebase for future feature expansion and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
358
Activity Months1
Your Network
11 peopleSame Organization
@shell.com1
Shared Repositories
10
AviKatziukMember
chris-1187Member
Dominik HoffmannMember
Felipe TrostMember
LuccaMember
mollleMember
Lucca BaumgärtnerMember
Minh Khue TranMember
TranMember
Work History
October 2024
7 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — Monthly summary for repository amosproj/amos2024ws01-rtdip-data-quality-checker. Focused on delivering a critical feature upgrade for the Time Series Query Builder and stabilizing the development environment through dependency and CI updates. These efforts improve data quality checks, reduce build risk, and position the project for upcoming features.
7 Commits • 2 Features
Oct 1, 2024Month: 2024-10 — Monthly summary for repository amosproj/amos2024ws01-rtdip-data-quality-checker. Focused on delivering a critical feature upgrade for the Time Series Query Builder and stabilizing the development environment through dependency and CI updates. These efforts improve data quality checks, reduce build risk, and position the project for upcoming features.
October 2024
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.8%
Architecture85.8%
Performance71.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Backend DevelopmentCI/CDData EngineeringData QueryingDependency ManagementEnvironment ManagementGitHub ActionsPython DevelopmentSQL Query Building
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