datahub-project/datahub
Mar 2026 – May 2026
2 Months active
Languages Used
Python
Technical Skills
BigQueryKafkaPythondata engineeringdata ingestiondata processing
Hasnat
PROFILE
Hasnat
Contributed to the datahub-project/datahub repository by delivering two production-ready features focused on data ingestion and metadata management. Developed topic-based table mapping for the BigQuery Sink Connector, enabling explicit per-topic table configuration to streamline data routing and governance within Kafka and BigQuery environments. Extended the CSV Enricher module to support structured properties metadata ingestion, allowing CSV columns to be mapped to structured properties while maintaining backward compatibility. Leveraged Python, BigQuery, and Kafka to enhance data processing workflows, collaborating closely with cross-functional teams to ensure seamless integration and improved metadata granularity for data entities without introducing major bugs during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,533
Activity Months2
Your Network
143 peopleSame Organization
@trustpilot.com1
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 – DataHub: CSV Enricher extended to support structured properties metadata ingestion, enabling mapping of CSV columns to structured properties while preserving existing ingestion flows. No major bugs fixed this month; feature delivery focused on metadata granularity, data discovery, and governance. Impact includes richer metadata for data entities, improved lineage, and backward compatibility. Technologies and skills demonstrated include CSV enrichment, metadata modeling, module extension, and cross-team collaboration.
1 Commits • 1 Features
May 1, 2026May 2026 – DataHub: CSV Enricher extended to support structured properties metadata ingestion, enabling mapping of CSV columns to structured properties while preserving existing ingestion flows. No major bugs fixed this month; feature delivery focused on metadata granularity, data discovery, and governance. Impact includes richer metadata for data entities, improved lineage, and backward compatibility. Technologies and skills demonstrated include CSV enrichment, metadata modeling, module extension, and cross-team collaboration.
May 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focusing on key accomplishments. Delivered topic-based table mapping for the BigQuery Sink Connector in datahub, enabling explicit per-topic table configuration to improve data ingestion routing and governance. No major bugs reported for this period; feature-focused work completed with high quality and readiness for production rollout.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary focusing on key accomplishments. Delivered topic-based table mapping for the BigQuery Sink Connector in datahub, enabling explicit per-topic table configuration to improve data ingestion routing and governance. No major bugs reported for this period; feature-focused work completed with high quality and readiness for production rollout.
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
BigQueryKafkaPythondata engineeringdata ingestiondata processingmetadata management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline