kedro-org/kedro-plugins
Oct 2025 – Oct 2025
1 Month active
Languages Used
MarkdownPythonTOMLYAML
Technical Skills
Configuration ManagementData EngineeringDataset DevelopmentDataset ManagementDependency ManagementDocumentation
Jitendra Gundaniya
PROFILE
Jitendra Gundaniya
Jitendra Gundaniya developed an experimental PDFDataset reader for the kedro-org/kedro-plugins repository, enabling text extraction from PDF files using the pypdf library. He migrated PDF support from the legacy pdf library to pypdf, introducing API changes such as the removal of versioning to streamline usage. Jitendra added comprehensive documentation and robust tests to ensure the feature’s reliability and maintainability. He incorporated the cryptography dependency to support secure file handling and improved code quality through linting. His work leveraged Python, YAML, and configuration management skills, expanding kedro-datasets’ data extraction capabilities while reducing maintenance risk and supporting future extensibility.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
1
Lines of code
547
Activity Months1
Your Network
33 peopleShared Repositories
13
akumawavezMember
Armand MasseauMember
Abhishek BhatiaMember
Deepyaman DattaMember
Huong NguyenMember
Mark DruffelMember
Merel TheisenMember
oomennMember
NicolasMember
Work History
October 2025
8 Commits • 1 Features
Oct 1, 2025October 2025: Delivered an experimental PDFDataset reader for kedro-datasets, enabling text extraction from PDFs via pypdf. Migrated PDF support from the legacy pdf library to pypdf, with API changes including removal of versioning. Comprehensive documentation and tests were added to ensure reliability and maintainability. Introduced a security-oriented dependency (cryptography) and implemented code quality improvements with lint fixes for maintainability. This work positions kedro-plugins to expand data extraction capabilities and reduces ongoing maintenance risk.
8 Commits • 1 Features
Oct 1, 2025October 2025: Delivered an experimental PDFDataset reader for kedro-datasets, enabling text extraction from PDFs via pypdf. Migrated PDF support from the legacy pdf library to pypdf, with API changes including removal of versioning. Comprehensive documentation and tests were added to ensure reliability and maintainability. Introduced a security-oriented dependency (cryptography) and implemented code quality improvements with lint fixes for maintainability. This work positions kedro-plugins to expand data extraction capabilities and reduces ongoing maintenance risk.
October 2025
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture95.0%
Performance87.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonTOMLYAML
Technical Skills
Configuration ManagementData EngineeringDataset DevelopmentDataset ManagementDependency ManagementDocumentationFile HandlingKedroLintingPDF ProcessingPythonTesting
Repositories Contributed To
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