Production-grade Snowflake engineering

Practical guides for building data and ML systems with Snowflake, dbt, Airflow, feature engineering, and platform design patterns that work outside toy examples.

Snowflake Core

SPCS, Tasks, Streams, orchestration patterns, performance, and cost-aware design.

Data Platform

dbt structure, modeling strategy, incremental pipelines, testing, and ownership.

ML Workloads

ML Jobs, feature pipelines, batch-first architectures, and pragmatic platform choices.