linkedin/openhouse
Dec 2024 – Dec 2024
1 Month active
Languages Used
JavaSQLScala
Technical Skills
Backend DevelopmentBig DataCloud StorageData EngineeringData WarehousingDatabase Management
vikram bohra
PROFILE
Vikram Bohra
Worked on the linkedin/openhouse project to enhance data reliability and schema consistency across distributed storage backends. Developed cross-backend Create Table As Select (CTAS) functionality, enabling accurate determination of table locations and storage types for both S3 and HDFS, and introduced storage client path validity checks to ensure robust multi-storage operations. Addressed schema drift in Iceberg replica tables by preserving client-specified field IDs, storing them as table properties, and using them to reconstruct partition specs and sort orders. Leveraged Java, Scala, and SQL to deliver these backend improvements, strengthening data governance and ensuring consistent behavior in evolving data warehouse environments.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
915
Activity Months1
Your Network
27 peopleShared Repositories
27
Abhishek NathMember
Christian BushMember
Conn CuiMember
Dushyant KumarMember
Levi JiangMember
Jonathan HungMember
Malini Mahalakshmi VenkatachariMember
TomMember
Mike KuchenbeckerMember
Work History
December 2024
2 Commits • 1 Features
Dec 1, 2024In December 2024, delivered two high-impact changes in the linkedin/openhouse project that improve reliability of data creation and consistency of schemas across storage backends. Cross-backend CTAS storage handling now correctly determines table locations and storage types across S3 and HDFS, with storage client path validity checks to ensure CTAS works reliably in multi-storage configurations. Additionally, Iceberg replica table schemas no longer reassign field IDs; original client-specified IDs are preserved as a table property and used to reconstruct metadata (partition specs and sort orders), preventing schema drift during evolution.
2 Commits • 1 Features
Dec 1, 2024In December 2024, delivered two high-impact changes in the linkedin/openhouse project that improve reliability of data creation and consistency of schemas across storage backends. Cross-backend CTAS storage handling now correctly determines table locations and storage types across S3 and HDFS, with storage client path validity checks to ensure CTAS works reliably in multi-storage configurations. Additionally, Iceberg replica table schemas no longer reassign field IDs; original client-specified IDs are preserved as a table property and used to reconstruct metadata (partition specs and sort orders), preventing schema drift during evolution.
December 2024
Activity
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Quality Metrics
Correctness95.0%
Maintainability80.0%
Architecture85.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaSQLScala
Technical Skills
Backend DevelopmentBig DataCloud StorageData EngineeringData WarehousingDatabase ManagementDistributed SystemsJava DevelopmentScala Development
Repositories Contributed To
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