datalens-tech/datalens-backend
Jul 2025 – Aug 2025
2 Months active
Languages Used
PythonSQL
Technical Skills
API DevelopmentAuthentication and AuthorizationBackend DevelopmentCachingMicroservicesPython
Tigran
PROFILE
Tigran
Tigran Abov enhanced the datalens-tech/datalens-backend repository by delivering three backend features over two months, focusing on reliability, maintainability, and analytics accuracy. He optimized cache TTL handling with Python and SQLAlchemy, introducing robust tests for edge cases to reduce incident risk and simplify maintenance. Tigran centralized monitoring endpoints, implementing authentication bypass for observability while unifying legacy handlers to improve security. He also developed ARRAY_DISTINCT and INDEXOF formulas across ClickHouse, PostgreSQL, and Trino connectors, enabling unified array operations and improving data accuracy in BI pipelines. His work demonstrated depth in backend development, database connectors, and comprehensive testing strategies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
914
Activity Months2
Your Network
126 peopleSame Organization
@yandex-team.ru113
Work History
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 — Key features delivered: ARRAY_DISTINCT and INDEXOF formulas implemented across ClickHouse, PostgreSQL, and Trino with core library definitions, per-database implementations, and tests for NULL handling and data-type variations. Major work included two commits: 0c16947bba57513beab4fb8225fdb0d93f486e6a and 0f0bc96b2c8b1a0676872cc30c6c9213722de2e0. Impact: unified array operations across connectors, enabling deduplication and element-position queries in dashboards and BI pipelines, reducing workaround and improving data accuracy. Skills demonstrated: cross-database formula engine development, testing strategy, and performance-conscious implementation.
2 Commits • 1 Features
Aug 1, 2025August 2025 — Key features delivered: ARRAY_DISTINCT and INDEXOF formulas implemented across ClickHouse, PostgreSQL, and Trino with core library definitions, per-database implementations, and tests for NULL handling and data-type variations. Major work included two commits: 0c16947bba57513beab4fb8225fdb0d93f486e6a and 0f0bc96b2c8b1a0676872cc30c6c9213722de2e0. Impact: unified array operations across connectors, enabling deduplication and element-position queries in dashboards and BI pipelines, reducing workaround and improving data accuracy. Skills demonstrated: cross-database formula engine development, testing strategy, and performance-conscious implementation.
August 2025
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025: Backend reliability and observability enhancements for datalens-backend focused on cache correctness, monitoring reliability, and maintainability. Delivered TTL-based cache optimization and centralized monitoring endpoints with authentication skipping, backed by targeted tests to cover edge cases. These changes reduce incident risk around TTL edge cases, improve visibility into backend health, and simplify ongoing maintenance and security posture.
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025: Backend reliability and observability enhancements for datalens-backend focused on cache correctness, monitoring reliability, and maintainability. Delivered TTL-based cache optimization and centralized monitoring endpoints with authentication skipping, backed by targeted tests to cover edge cases. These changes reduce incident risk around TTL edge cases, improve visibility into backend health, and simplify ongoing maintenance and security posture.
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API DevelopmentAuthentication and AuthorizationBackend DevelopmentCachingDatabase ConnectorsFormula ImplementationMicroservicesPythonSQLAlchemyTestingUnit Testing
Repositories Contributed To
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