datalens-tech/datalens-backend
Jun 2026 – Jun 2026
1 Month active
Languages Used
Python
Technical Skills
API developmentPythonbackend developmentdata securitydata validationdatabase integration
Khachatur86
PROFILE
Khachatur86
Worked on the datalens-backend repository, delivering three core features focused on backend robustness and data security. Developed enhancements to the StarRocks connector to hide system schemas from user listings and improved caching by indexing on both specification and schema name, optimizing performance. Introduced a system parameter resolution mechanism for _sys.user_id, validating it against client input and reserving a dedicated namespace, with comprehensive cross-connector testing. Built a column-level security masking engine that dynamically applies data masking based on user roles and permissions. Leveraged Python for API development, database integration, and rigorous unit testing to ensure reliability and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
2,109
Activity Months1
Your Network
143 peopleSame Organization
@yandex-team.ru129
Work History
June 2026
4 Commits • 3 Features
Jun 1, 2026June 2026 monthly summary for datalens-backend (datalens-tech/datalens-backend). Key features delivered include StarRocks connector improvements to hide system schemas from listings and performance-oriented caching enhancements; system parameter _sys.user_id resolution and validation with tests; and a column-level security masking engine enabling dynamic masking based on user roles. These were complemented by comprehensive testing and cross-connector validation. Major bugs fixed include the StarRocks connector listing exposure issue and the DbCsvTableDispenser cache optimization, as well as robustness fixes around system parameter handling. Overall impact: improved data catalog cleanliness, faster query planning and caching, stronger data security and parameter governance, and a more robust, test-covered backend. Technologies/skills demonstrated include StarRocks integration, caching strategy, parameter framing and validation, column-level masking, and end-to-end testing across connectors.
4 Commits • 3 Features
Jun 1, 2026June 2026 monthly summary for datalens-backend (datalens-tech/datalens-backend). Key features delivered include StarRocks connector improvements to hide system schemas from listings and performance-oriented caching enhancements; system parameter _sys.user_id resolution and validation with tests; and a column-level security masking engine enabling dynamic masking based on user roles. These were complemented by comprehensive testing and cross-connector validation. Major bugs fixed include the StarRocks connector listing exposure issue and the DbCsvTableDispenser cache optimization, as well as robustness fixes around system parameter handling. Overall impact: improved data catalog cleanliness, faster query planning and caching, stronger data security and parameter governance, and a more robust, test-covered backend. Technologies/skills demonstrated include StarRocks integration, caching strategy, parameter framing and validation, column-level masking, and end-to-end testing across connectors.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture95.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API developmentPythonbackend developmentdata securitydata validationdatabase integrationdatabase managementtestingunit testing
Repositories Contributed To
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