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Production notes on Snowflake, dbt, Airflow, and the warehouse bill — written by a working data engineer, not recycled vendor docs.

About the Author

Articles on this site are written and maintained by Sainath Reddy, a practicing data engineer with hands-on experience building production data platforms across Snowflake, Databricks, AWS, Azure, GCP, Salesforce Data Cloud, dbt, Apache Airflow, Apache Spark, and the broader modern data stack. Every tutorial is based on real-world engineering work — not reposted material — and is reviewed before publication for technical accuracy and current vendor behaviour.

Editorial focus spans cloud data warehousing (Snowflake, BigQuery, Redshift), lakehouse architectures (Databricks, Delta Lake, Iceberg), data orchestration (Airflow, Snowflake Tasks, Step Functions), transformation (dbt, SQL, PySpark), streaming (Kafka, Kinesis, Snowpipe Streaming), AI on data (Snowflake Cortex, Databricks Mosaic AI, RAG patterns), data quality & governance, FinOps, and career & certification guidance for data professionals.

Learn more on our About page or contact us.

Written by Sainath Reddy, a data engineer in Hyderabad. These are production notes — warehouse cost incidents, dbt review comments, Cortex token bills — not rewritten vendor docs. Read the editorial standards or skip to the article library.

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