ExpediaGroup/feast
Mar 2025 – Jun 2025
4 Months active
Languages Used
MarkdownPython
Technical Skills
API DevelopmentData EngineeringDistributed SystemsFeature EngineeringPythonBackend Development
kpulipati29
PROFILE
Kpulipati29
Kiran Pulipati contributed to the ExpediaGroup/feast repository by engineering foundational support for time-series and ordered data, implementing range query materialization through the SortedFeatureView architecture. Using Python and leveraging distributed systems concepts, Kiran designed and integrated features across documentation, registry, and online stores, enabling efficient range-based queries and improved data lifecycle management. He introduced configurable TTL support for ScyllaDB and Cassandra, optimizing data retention and batch ingestion workflows. Kiran also focused on robust error handling and regression testing, ensuring reliability in batch materialization jobs. His work demonstrated depth in backend development, database management, and end-to-end data engineering solutions.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
5Total
Bugs
3
Commits
5
Features
2
Lines of code
1,571
Activity Months4
Your Network
7 people
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary focused on reliability and correctness of the batch materialization workflow in Feast (Cassandra-based backend). Delivered a critical bug fix with enhanced error handling and added regression tests to guard against InvalidRequest scenarios.
1 Commits
Jun 1, 2025June 2025 monthly summary focused on reliability and correctness of the batch materialization workflow in Feast (Cassandra-based backend). Delivered a critical bug fix with enhanced error handling and added regression tests to guard against InvalidRequest scenarios.
June 2025
May 2025
1 Commits
May 1, 2025May 2025 performance highlights for ExpediaGroup/feast: Achieved stability and efficiency gains through TTL correctness fix for Cassandra feature views and batch insert optimization. Ensured regular feature views are excluded from TTL processing unless explicitly configured, preventing unintended data expiration. Optimized ingestion by preparing the insert statement once and reusing it across multiple entries, boosting throughput and reducing overhead. These changes improve data reliability, feature freshness, and cost-efficiency in large-scale ingestion.
May 2025
1 Commits
May 1, 2025May 2025 performance highlights for ExpediaGroup/feast: Achieved stability and efficiency gains through TTL correctness fix for Cassandra feature views and batch insert optimization. Ensured regular feature views are excluded from TTL processing unless explicitly configured, preventing unintended data expiration. Optimized ingestion by preparing the insert statement once and reusing it across multiple entries, boosting throughput and reducing overhead. These changes improve data reliability, feature freshness, and cost-efficiency in large-scale ingestion.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 (Month: 2025-04) – ExpediaGroup/feast: Delivered two high-impact changes with clear business value and robust technical execution. Key deliverables include a bug fix to exclude SortedFeatureView from FeatureView processing during delete/rename, preventing unintended side effects and preserving data consistency; and the introduction of TTL support for feature views in the ScyllaDB online store, with configurable TTL at both the feature view and online store levels via apply_ttl_on_write. CassandraOnlineStore logic and associated tests were updated to apply TTL correctly. These changes enhance data lifecycle control, reduce stale data, and improve system reliability. Demonstrated strength in areas including feature-view lifecycle, TTL-based data management, and end-to-end testing, aligning with product goals and performance requirements.
2 Commits • 1 Features
Apr 1, 2025April 2025 (Month: 2025-04) – ExpediaGroup/feast: Delivered two high-impact changes with clear business value and robust technical execution. Key deliverables include a bug fix to exclude SortedFeatureView from FeatureView processing during delete/rename, preventing unintended side effects and preserving data consistency; and the introduction of TTL support for feature views in the ScyllaDB online store, with configurable TTL at both the feature view and online store levels via apply_ttl_on_write. CassandraOnlineStore logic and associated tests were updated to apply TTL correctly. These changes enhance data lifecycle control, reduce stale data, and improve system reliability. Demonstrated strength in areas including feature-view lifecycle, TTL-based data management, and end-to-end testing, aligning with product goals and performance requirements.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for ExpediaGroup/feast focused on delivering foundational capability for time-series and ordered data processing through Range Query Materialization via SortedFeatureView. This work involved design and end-to-end implementation across multiple components, setting the stage for improved data access patterns and analytics capabilities.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for ExpediaGroup/feast focused on delivering foundational capability for time-series and ordered data processing through Range Query Materialization via SortedFeatureView. This work involved design and end-to-end implementation across multiple components, setting the stage for improved data access patterns and analytics capabilities.
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture82.0%
Performance76.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
API DevelopmentBackend DevelopmentCassandraData EngineeringDatabase ManagementDistributed SystemsError HandlingFeature EngineeringPythonScyllaDBTesting
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