Snowflake Data Superhero ❄️ | Docker Captain 🐳 | Building the future of data platforms
- Scale Technical Teams: Built sales engineering from 1→11 members supporting enterprise growth
- Architect Data Solutions: Deep expertise in Snowflake Data Cloud, modern data stack, and integration architectures
- Build Open Source: Active contributor to the Snowflake and data engineering community
- Drive Innovation: Led AI/ML initiatives including Snowflake Cortex for LLM-powered analytics
- 🥇 Snowflake Data Superhero - Recognized by Snowflake for technical expertise and community contributions
- 🐳 Docker Captain - Selected by Docker Inc for container technology leadership
- 📝 Technical Author - 15+ technical articles on data architecture and modern data stack (10K+ views)
Open-source Streamlit application for centralized Snowflake task monitoring and management
- 500+ GitHub Stars ⭐
- Real-time statistics and execution capabilities
- Comprehensive task history tracking
Direct JDBC streaming solution from Snowflake to Kafka, eliminating intermediate storage hops
- Addresses gap in existing Snowflake-to-Kafka solutions
- Built using Kafka Connect JDBC Source connector
- Production-ready architecture
Cross-environment data validation tool using data-diff and Streamlit
- Enables spot-checking between different Snowflake environments
- Built with Datafold's data-diff library
- Delta analysis and reconciliation workflows
Comprehensive architectural framework defining best practices across 5 core pillars
- Reliability, Security, Cost Optimization, Operational Excellence, Performance Efficiency
- Detailed checklists and design principles
- Addressing gaps in official Snowflake architectural guidance
Data Platforms: Snowflake • Apache Kafka • Apache Iceberg • Polaris Catalog
Languages: Python • SQL • JavaScript
Cloud & DevOps: AWS • Azure • Docker • Kubernetes • CI/CD
Integration: TIBCO • Dell Boomi • REST APIs • Microservices
AI/ML: Snowflake Cortex • Prompt Engineering • Vector Databases
Visualization: Streamlit • Plotly • Grafana
- AI/ML Integration: Implementing Snowflake Cortex for enterprise analytics
- Modern Data Architecture: Open table formats and lakehouse patterns
- Technical Leadership: Scaling high-performing sales engineering teams
- Community Building: Contributing to Snowflake and data engineering communities
- Polaris Catalog: If you have been napping 😴
- LocalStack for Snowflake: Developing and Testing locally
- Snowflake Well-Architected Framework
- LinkedIn: linkedin.com/in/sudhendup
- Medium: @pandeysudhendu
- Email: pandeysudhendu@gmail.com
- Location: Dubai, UAE 🇦🇪