Data Engineering
Insights & POCs
Deep-dive articles, working proof-of-concepts, and practical guides on building modern data platforms with Snowflake and Snowpark.
Getting Started with Google Antigravity CLI (agy): The Beginner's Hands-On Guide
A complete, beginner-friendly guide to mastering the Google Antigravity CLI (agy)—covering installation, interface navigation, power prefixes (@, !), slash commands, and real-world developer workflows with practical examples.
IP Address Tracking for Fraud Analytics: Architecture, Signals, and Engineering Realities
A deep-dive technical guide for data engineers and security architects on leveraging IP intelligence for fraud detection—covering IPv4/IPv6, NAT, enrichment pipelines with Kafka and Snowflake, impossible travel algorithms, and multi-signal defense.
Ace Your Next Data Interview
We've compiled hundreds of targeted interview questions across SQL, Python, PySpark, Snowflake, and Data Engineering Architecture. Filter by theory or dive into hands-on coding scenarios.
Cheat Sheets & Quick Reference
Copy-ready syntax cards for SQL, Python, PySpark, Snowflake, Command Line, GitHub, and Gen AI Copilot. Pin them, bookmark them, use them daily.
Snowflake Task Monitor & Email Alerting
A fully automated monitoring system that queries Snowflake task execution history via Snowpark, generates rich HTML reports, and sends email alerts for failed tasks.
End-to-End ETL Pipeline with Snowpark
A production-ready data pipeline using Snowpark DataFrames for extraction, transformation, and loading — with error handling, logging, and automated testing.
Start Building with Snowflake
All POCs include full source code, step-by-step guides, and are ready to deploy in your Snowflake environment.