google/dwh-migration-tools
Feb 2025 – Feb 2025
1 Month active
Languages Used
GroovyJavaProtobuf
Technical Skills
Build Automation (Gradle)Cloud RunCloud Storage (GCS, AWS S3)Data MigrationDistributed SystemsJava Development
Samik
PROFILE
Samik
Samik Gupi developed the initial DBSync data migration module for the google/dwh-migration-tools repository, focusing on enabling scalable transfers from local filesystems to Google Cloud Storage. Leveraging Java and Groovy, Samik implemented an Rsync-based algorithm executed via Cloud Run, with an Rsync server deployed in the destination GCP project to ensure data integrity and efficient parity checks. This work established a cloud-native foundation for cross-source data migration, addressing the challenges of large dataset reliability and extensibility to additional sources and destinations. The module’s architecture supports future enhancements, emphasizing distributed systems principles and robust build automation using Gradle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
3,145
Activity Months1
Your Network
13 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for google/dwh-migration-tools: Delivered the initial DBSync data migration module using an Rsync-based algorithm to move data from databases and filesystems to Google Cloud Storage (GCS) or BigQuery (BQ). The module currently supports local filesystem to GCS transfers, executed via Cloud Run with an Rsync server in the destination GCP project. This release establishes a cloud-native, scalable foundation for cross-source data migration and sets the stage for broader source/destination coverage and incremental synchronization. No major bugs fixed this month; remaining focus is on reliability for large datasets and extending source/destination support.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for google/dwh-migration-tools: Delivered the initial DBSync data migration module using an Rsync-based algorithm to move data from databases and filesystems to Google Cloud Storage (GCS) or BigQuery (BQ). The module currently supports local filesystem to GCS transfers, executed via Cloud Run with an Rsync server in the destination GCP project. This release establishes a cloud-native, scalable foundation for cross-source data migration and sets the stage for broader source/destination coverage and incremental synchronization. No major bugs fixed this month; remaining focus is on reliability for large datasets and extending source/destination support.
February 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GroovyJavaProtobuf
Technical Skills
Build Automation (Gradle)Cloud RunCloud Storage (GCS, AWS S3)Data MigrationDistributed SystemsJava DevelopmentProtocol BuffersRsync
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