Tag, Mask, Protect: PII Handling in Snowflake is no longer optional—it’s essential. As organizations grow, data governance at scale becomes critical — especially when handling personally identifiable information (PII). Manual tagging and masking do not scale across thousands of tables and columns. Imagine a global logistics company ingesting real-time shipment […]
Read More
Imagine you’re building a data pipeline for a Fintech company that processes millions of payment transactions every day from platforms like Stripe and PayPal. These transactions are constantly flowing into your data warehouse through a streaming ingestion pipeline — for example, S3 → Snowpipe → Snowflake. In such real-time environments, […]
Read More
In enterprise data platforms, ensuring high-quality, trusted data in the Golden Layer is critical. In this post, we will showcase a powerful and production-ready pattern that combines vanilla DBT tests, custom macro logic, automated audit trail, and real-time Snowflake alerts, all leading to a clean and trusted Golden Semantic Model—without […]
Read More
In modern data workflows, schema changes are inevitable — new fields, revised tables, and ever-evolving business logic. In this post, I’m sharing a macro-driven strategy that showcases the synergy between DBT and Snowflake, where schema evolution is not a blocker — it becomes a feature. This approach removes the need […]
Read More
Snowflake and DBT (Data Build Tool) are two of the most powerful players in the modern data stack. Traditionally, DBT is known for transformations and Snowflake for its cloud-native warehousing. When combined, DBT handles your transformations and Snowflake provides the storage and compute power. This combination streamlines ETL processes, increases […]
Read More
In today’s cloud-first landscape, the integrity of data pipelines is crucial for operational success, regulatory compliance, and business decision-making.This blog, “Snowflake Data Quality Framework: Validate, Monitor, and Trust Your Data,” will walk you through a Snowflake-native, dynamic, and extensible Data Quality (DQ) Framework — capable of automatically validating data pipelines, […]
Read More
