ExpediaGroup/feast
Mar 2025 – Jun 2025
4 Months active
Languages Used
MarkdownPython
Technical Skills
API DevelopmentData EngineeringDistributed SystemsFeature EngineeringPythonBackend Development
kpulipati29
PROFILE
Kpulipati29
Worked on the ExpediaGroup/feast repository to deliver foundational capabilities for time-series and ordered data processing, including implementing range query materialization via SortedFeatureView. Applied expertise in Python, distributed systems, and database management to design and integrate new features across documentation, registry handling, and online stores. Enhanced data lifecycle control by introducing configurable TTL support for feature views in ScyllaDB and Cassandra, and optimized batch ingestion by reusing prepared statements. Focused on reliability by improving error handling in batch materialization workflows, adding regression tests, and ensuring failures propagate correctly. Prioritized robust testing and maintainability to support large-scale, reliable data engineering workflows.
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 peopleShared Repositories
7
Bhargav DodlaMember
kpulipati29Member
Manisha4Member
omirandaMember
piketMember
vbelurMember
Vineet BelurMember
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
Repositories Contributed To
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