snowflakedb/snowflake-cli
Sep 2025 – Sep 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentCloud ServicesDevOpsFull Stack DevelopmentPythonSQL
Sandeep Kumta Vishnu
PROFILE
Sandeep Kumta Vishnu
Sandeepkumta Vishnu developed foundational support for Snowflake Container Services (SPCS) runtime v2 within the snowflakedb/snowflake-cli repository, enabling containerized Streamlit app deployments with advanced configuration options. He updated internal models to represent Streamlit entities, enhanced SQL generation logic, and integrated feature flag management to accommodate the new runtime. Leveraging backend development, DevOps, and cloud services expertise, he used Python and SQL to ensure the CLI could deploy Streamlit apps more reliably and scalably. The work addressed the need for more flexible and robust deployment workflows, reflecting a deep understanding of both application modeling and cloud-native runtime environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
444
Activity Months1
Your Network
323 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025In September 2025, delivered the foundation for Snowflake Container Services (SPCS) runtime v2 support for Streamlit deployments in the Snowflake CLI, enabling containerized runtime with advanced features and configurations for Streamlit apps. Updated the internal models and tooling to align with the new runtime, including Streamlit entity modeling, SQL generation, and feature flag management to support v2. This marks a key step toward more scalable, reliable, and configurable app deployments from the CLI.
1 Commits • 1 Features
Sep 1, 2025In September 2025, delivered the foundation for Snowflake Container Services (SPCS) runtime v2 support for Streamlit deployments in the Snowflake CLI, enabling containerized runtime with advanced features and configurations for Streamlit apps. Updated the internal models and tooling to align with the new runtime, including Streamlit entity modeling, SQL generation, and feature flag management to support v2. This marks a key step toward more scalable, reliable, and configurable app deployments from the CLI.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCloud ServicesDevOpsFull Stack DevelopmentPythonSQL
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