April 2026: Delivered end-to-end SQL Server CDC support for the Datastream-to-BigQuery pipeline in GoogleCloudPlatform/DataflowTemplates, including metadata extraction, schema discovery, and type conversion. Implemented stable metadata handling (including correct _metadata_lsn population) and updated templates/docs for SQL Server as a supported source. Enhanced test coverage and code quality through refactors, formatting, and CI improvements.

2026-03 Monthly Summary: Focused on delivering business value through a key feature expansion in the Datastream-to-BigQuery pipeline, while maintaining quality and measurable impact. Major features/bugs addressed in this month: - Feature delivered: MSSQL source support for the Datastream-to-BigQuery pipeline, including CDC, schema discovery via the Datastream API, Avro format processing, sort key definitions, BigQuery metadata schema, and type conversion mappings. Commit c208d43bef3bb21ecb30d169830d8c6f59feb7c8 documents this work (feat(Datastream): Add SQL Server (MSSQL) source support to Datastream-to-BigQuery pipeline). Major bugs fixed: None reported this month. Overall impact and accomplishments: - Business value: Enables real-time MSSQL CDC data to flow into BigQuery, accelerating analytics, reducing data latency, and improving decision-making capabilities for stakeholders relying on MSSQL data sources. - Technical impact: Implemented end-to-end MSSQL CDC ingestion with schema discovery, type conversion mappings, and Avro processing; aligned metadata schema for seamless BigQuery consumption; improved reliability through Datastream API-driven schema discovery. Technologies/skills demonstrated: Datastream API usage, CDC integration, Avro processing, schema discovery, type conversion mappings, and BigQuery integration.