
Kartik Gupta developed streaming-based PUT file uploads for the snowflake-connector-nodejs repository, focusing on optimizing memory usage during large file transfers. By replacing synchronous file reads with Node.js streams, Kartik enabled the connector to handle larger uploads with lower peak memory consumption, improving scalability and upload concurrency. The implementation leveraged JavaScript and incorporated file handling techniques across cloud storage platforms such as Azure, GCS, and S3. This work addressed the challenge of supporting high-volume data transfers without excessive resource usage. Kartik’s contribution demonstrated a solid understanding of streaming and cloud integration, delivering a targeted solution to a well-defined performance bottleneck.
January 2026 monthly summary for snowflake-connector-nodejs: Implemented streaming for PUT file uploads to reduce memory usage and improve scalability of file transfers. The change shifts from synchronous reads to Node.js streams, enabling larger uploads with lower peak memory. Related to SNOW-1703685; commit 5a284e90fa254a265af00104edb2e802b5286a7f; signed-off by Kartik Gupta with co-author Ruslan Savenok.
January 2026 monthly summary for snowflake-connector-nodejs: Implemented streaming for PUT file uploads to reduce memory usage and improve scalability of file transfers. The change shifts from synchronous reads to Node.js streams, enabling larger uploads with lower peak memory. Related to SNOW-1703685; commit 5a284e90fa254a265af00104edb2e802b5286a7f; signed-off by Kartik Gupta with co-author Ruslan Savenok.

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