gooddata/gooddata-python-sdk
Aug 2025 – May 2026
7 Months active
Languages Used
PythonText
Technical Skills
AWSBackend DevelopmentBackup and RestoreBoto3Cloud ServicesCode Organization
Anna Benke
PROFILE
Anna Benke
Worked on the gooddata-python-sdk repository, delivering a series of backend and data engineering features focused on robust backup, restore, and data modeling capabilities. Developed automated workspace backup workflows supporting AWS S3 and Azure Blob Storage, with enhancements for authentication, rate limiting, and error handling to ensure reliability and compliance. Introduced composite key references and flexible data filters in dataset schemas, improving support for complex data scenarios. Emphasized maintainability through code refactoring, structured logging, and license management. Leveraged Python, Boto3, and Azure SDKs to integrate cloud storage and streamline configuration, supporting enterprise data resilience, governance, and operational transparency across environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
8
Lines of code
4,823
Activity Months7
Your Network
87 peopleSame Organization
@gooddata.com51
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Andy ChumakMember
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Shared Repositories
36
Adam FiedlerMember
alexole01Member
Marcelo G. AlmironMember
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GoodData AutomationMember
Christopher BonillaMember
Dan HomolaMember
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Work History
May 2026
2 Commits • 1 Features
May 1, 2026Monthly summary for 2026-05: Delivered dataset schema enhancements in the gooddata-python-sdk to enable robust multi-column joins via composite key references and introduced optional workspace data filters in dataset definitions. Deprecated legacy single-column references to standardize modeling and reduce misconfigurations, improving reliability and data quality. All work emphasizes long-term maintainability and better support for complex data scenarios. No major bugs reported in this period; focus was on feature completion and code health.
2 Commits • 1 Features
May 1, 2026Monthly summary for 2026-05: Delivered dataset schema enhancements in the gooddata-python-sdk to enable robust multi-column joins via composite key references and introduced optional workspace data filters in dataset definitions. Deprecated legacy single-column references to standardize modeling and reduce misconfigurations, improving reliability and data quality. All work emphasizes long-term maintainability and better support for complex data scenarios. No major bugs reported in this period; focus was on feature completion and code health.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for gooddata/gooddata-python-sdk: Delivered metadata enhancements in GoodData pipelines by adding dataset tagging and descriptions and enabling merging new datasets into the existing Logical Data Model (LDM). This improves data governance, discoverability, and pipeline maintainability, and establishes groundwork for scalable data management across projects.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for gooddata/gooddata-python-sdk: Delivered metadata enhancements in GoodData pipelines by adding dataset tagging and descriptions and enabling merging new datasets into the existing Logical Data Model (LDM). This improves data governance, discoverability, and pipeline maintainability, and establishes groundwork for scalable data management across projects.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for the gooddata/gooddata-python-sdk development work, focusing on license governance and Azure dependencies in pipelines.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for the gooddata/gooddata-python-sdk development work, focusing on license governance and Azure dependencies in pipelines.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered enhanced backup observability in gooddata-python-sdk by introducing per-workspace backup logging, including duration tracking and error handling. This improvement provides better monitoring, faster debugging, and a robust audit trail for backup operations. No major bugs fixed this month. Technologies demonstrated include Python SDK development, structured logging, and error propagation across multi-workspace backups, delivering measurable business value by reducing downtime and improving operational transparency.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered enhanced backup observability in gooddata-python-sdk by introducing per-workspace backup logging, including duration tracking and error handling. This improvement provides better monitoring, faster debugging, and a robust audit trail for backup operations. No major bugs fixed this month. Technologies demonstrated include Python SDK development, structured logging, and error propagation across multi-workspace backups, delivering measurable business value by reducing downtime and improving operational transparency.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the Workspace Backup to Azure Blob Storage feature in the gooddata-python-sdk, enabling users to back up workspaces to Azure Blob Storage. This enhances data resilience, supports disaster recovery, and expands backup options for enterprise deployments. The feature was delivered with a focused scope to minimize surface area and maintain SDK compatibility, and is backed by a single release commit for traceability.
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the Workspace Backup to Azure Blob Storage feature in the gooddata-python-sdk, enabling users to back up workspaces to Azure Blob Storage. This enhances data resilience, supports disaster recovery, and expands backup options for enterprise deployments. The feature was delivered with a focused scope to minimize surface area and maintain SDK compatibility, and is backed by a single release commit for traceability.
November 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a reliability-focused upgrade to the workspace backup workflow in the gooddata-python-sdk. Implemented configurable parallelism, sequential batch processing to prevent API overload, and a rate limiter to ensure API rate-limit compliance, resulting in more reliable backups and safer throughput under higher loads. This work enhances configurability and stability for users managing workspace backups across environments.
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a reliability-focused upgrade to the workspace backup workflow in the gooddata-python-sdk. Implemented configurable parallelism, sequential batch processing to prevent API overload, and a rate limiter to ensure API rate-limit compliance, resulting in more reliable backups and safer throughput under higher loads. This work enhances configurability and stability for users managing workspace backups across environments.
August 2025
3 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for gooddata-python-sdk focused on delivering robust backup/restore capabilities and flexible backup input methods within AWS environments. Key work this month centered on improving authentication, storage reliability, and input validation to support scalable, automated backups across multiple AWS accounts and workspace hierarchies.
3 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for gooddata-python-sdk focused on delivering robust backup/restore capabilities and flexible backup input methods within AWS environments. Key work this month centered on improving authentication, storage reliability, and input validation to support scalable, automated backups across multiple AWS accounts and workspace hierarchies.
August 2025
Activity
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Quality Metrics
Correctness91.8%
Maintainability83.4%
Architecture86.6%
Performance75.0%
AI Usage28.4%
Skills & Technologies
Programming Languages
PythonText
Technical Skills
API IntegrationAPI developmentAPI integrationAWSAzure servicesBackend DevelopmentBackup and RestoreBoto3Cloud ServicesCode OrganizationConcurrency ManagementConfiguration ManagementData EngineeringError HandlingIAM
Repositories Contributed To
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