gooddata/gooddata-python-sdk
Jun 2026 – Jun 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
API DevelopmentContainerizationData ModelingDevOpsDockerPython
Ondřej Krčma
PROFILE
Ondřej Krčma
Worked on the gooddata/gooddata-python-sdk repository to enhance data-handling capabilities and improve deployment stability. Focused on implementing null value handling for SQL scans and physical data models, which increased data integrity and accuracy. Regenerated the API client to support new parameters and endpoints, ensuring smoother API integration and compatibility. Upgraded the Quiver service version within Docker Compose, resulting in more reliable development and deployment pipelines. Leveraged Python and YAML for SDK development and configuration, applying skills in API development, containerization, and data modeling. Prioritized feature delivery and maintainability, aligning tooling and pipelines with evolving staging API requirements throughout the month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
529
Activity Months1
Your Network
87 peopleSame Organization
@gooddata.com51
Adam FiedlerMember
alexole01Member
Andy ChumakMember
Anna BenkeMember
Auto ImplementerMember
GoodData AutomationMember
nknbichMember
Christopher BonillaMember
Dan HomolaMember
Shared Repositories
36
Adam FiedlerMember
alexole01Member
Marcelo G. AlmironMember
Anna BenkeMember
Auto ImplementerMember
GoodData AutomationMember
Christopher BonillaMember
Dan HomolaMember
dmitriinikitingdMember
Work History
June 2026
3 Commits • 3 Features
Jun 1, 2026June 2026 monthly summary for gooddata/gooddata-python-sdk focused on delivering data-handling capabilities, API surface expansion, and environment stabilization. Key features delivered include: (1) null value handling for SQL scans and PDM to improve data handling; (2) regeneration of the API client to incorporate new parameters across endpoints and models; and (3) a Quiver service version upgrade in Docker Compose to improve stability. These changes enhance data accuracy, API compatibility, and deployment reliability, reducing risk and enabling faster feature delivery. There were no major bugs fixed this month; efforts were concentrated on feature delivery, stability, and maintainability. Business value delivered: more reliable data processing, smoother API integration, and more stable development and deployment pipelines. Technologies demonstrated: Python SDK development, SQL/PDM data modeling, API client generation, Docker Compose, and dependency/version management.
3 Commits • 3 Features
Jun 1, 2026June 2026 monthly summary for gooddata/gooddata-python-sdk focused on delivering data-handling capabilities, API surface expansion, and environment stabilization. Key features delivered include: (1) null value handling for SQL scans and PDM to improve data handling; (2) regeneration of the API client to incorporate new parameters across endpoints and models; and (3) a Quiver service version upgrade in Docker Compose to improve stability. These changes enhance data accuracy, API compatibility, and deployment reliability, reducing risk and enabling faster feature delivery. There were no major bugs fixed this month; efforts were concentrated on feature delivery, stability, and maintainability. Business value delivered: more reliable data processing, smoother API integration, and more stable development and deployment pipelines. Technologies demonstrated: Python SDK development, SQL/PDM data modeling, API client generation, Docker Compose, and dependency/version management.
June 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage33.4%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API DevelopmentContainerizationData ModelingDevOpsDockerPythonSoftware EngineeringTesting
Repositories Contributed To
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