atlanhq/atlas-metastore
Apr 2025 – May 2025
2 Months active
Languages Used
Java
Technical Skills
API DevelopmentBackend DevelopmentCassandraData ManagementData ModelingData Storage
abhijeet-atlan
PROFILE
Abhijeet-atlan
Worked on the atlanhq/atlas-metastore repository to deliver robust backend features focused on classification text propagation and scalable tag management. Leveraged Java, Cassandra, and Elasticsearch to implement a new propagation workflow with reliable pagination, improved data consistency, and enhanced indexing. Refactored the TagDAO interface and notification system to ensure accurate updates and deletions for tags and classifications, reducing missed updates and stale data. Introduced a paginated API for efficient tag queries, encapsulating results and pagination state. Emphasized maintainability by cleaning up logging, restoring stable pagination logic, and providing clear commit traceability, resulting in improved reliability and developer velocity across the codebase.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
11Total
Bugs
3
Commits
11
Features
2
Lines of code
1,396
Activity Months2
Your Network
92 peopleShared Repositories
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AarshiMember
Amit JosephMember
Pushkar AnandMember
ankitpatnaik-atlanMember
Arnab SahaMember
arpit-atMember
Aryamanz29Member
avinashgatreddi-dotcomMember
Bichitra KumarMember
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 — Atlas Metastore (atlanhq/atlas-metastore): Delivered a scalable tag handling feature and improved reliability of tag/classification notifications, driving better data accuracy and client experience. Implemented a paginated API for tags and refactored the notification system to correctly handle updates and deletions for tags and classifications, with strong commit traceability.
2 Commits • 1 Features
May 1, 2025May 2025 — Atlas Metastore (atlanhq/atlas-metastore): Delivered a scalable tag handling feature and improved reliability of tag/classification notifications, driving better data accuracy and client experience. Implemented a paginated API for tags and refactored the notification system to correctly handle updates and deletions for tags and classifications, with strong commit traceability.
May 2025
April 2025
9 Commits • 1 Features
Apr 1, 2025April 2025 progress focused on reliability and searchability of classification text propagation. Delivered Classification Text Propagation V2 with Cassandra integration and robust pagination, enabling reliable propagation and indexing to Elasticsearch. Implemented updates to the TagDAO interface and Cassandra implementation for propagation data, added de-normalization utilities, corrected argument ordering, and enhanced batch/pagination processing to improve throughput and consistency. Major bug fixes included removal of noisy logging in EntityGraphMapper and a rollback of Cassandra pagination refactors in propagation to restore stability by reintegrating PaginatedTagResult functionality into TagDAO/TagDAOCassandraImpl. These changes reduced noise, improved observability, and stabilized data flows. Key outcomes include improved data consistency between Cassandra and Elasticsearch, faster reliable propagations, and improved developer velocity due to clearer code paths and restored stability.
April 2025
9 Commits • 1 Features
Apr 1, 2025April 2025 progress focused on reliability and searchability of classification text propagation. Delivered Classification Text Propagation V2 with Cassandra integration and robust pagination, enabling reliable propagation and indexing to Elasticsearch. Implemented updates to the TagDAO interface and Cassandra implementation for propagation data, added de-normalization utilities, corrected argument ordering, and enhanced batch/pagination processing to improve throughput and consistency. Major bug fixes included removal of noisy logging in EntityGraphMapper and a rollback of Cassandra pagination refactors in propagation to restore stability by reintegrating PaginatedTagResult functionality into TagDAO/TagDAOCassandraImpl. These changes reduced noise, improved observability, and stabilized data flows. Key outcomes include improved data consistency between Cassandra and Elasticsearch, faster reliable propagations, and improved developer velocity due to clearer code paths and restored stability.
Activity
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Quality Metrics
Correctness84.4%
Maintainability83.6%
Architecture83.6%
Performance77.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentCassandraData ManagementData ModelingData StorageDatabase ManagementElasticsearchJavaJava DevelopmentMetadata Management
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