Deep dives on building production data pipelines, cloud warehouses and analytics systems: the decisions, trade-offs and numbers behind real engineering work.
AWS DMS copies your table data, not your stored procedures, indexes, triggers or validation. A practical guide to what Database Migration Service leaves you to do.
Learn the differences between the AWS Console, CLI and SDKs, how AWS control plane requests are authenticated, and which interface belongs in automation vs manual ops.
Learn how AWS Regions, Availability Zones and service scope affect latency, cost, compliance and resiliency. Choose the right AWS location with confidence.
A concise guide to the AWS Shared Responsibility Model what AWS secures, what you must secure, and practical controls for cloud teams to reduce risk.
AWS Athena query optimization comes down to one thing: scanning less data. How partitioning, Parquet, bucketing and projection cut what you scan, and the bill.
A practical guide to right-sizing DPUs, using Glue Flex and scanning less S3 data, to cut your Glue bill by 50% without touching business logic.
A cloud data warehouse migration guide to Snowflake vs Redshift vs BigQuery vs Databricks: how to choose on cost, lock-in and performance, and how to de-risk the move.
A practical AI cost optimization guide built on a real case study: how task-based model routing cut one document platform's AI spend by 99% and trims most LLM bills 30 to 50%.
Dagster vs Airflow vs Prefect for ETL in 2026, compared by the one question they disagree on: what a pipeline is actually made of. Field notes from a 50M-records/day build.
From messy source data to analytics-ready warehouses that cut cost. Let's scope it. I reply within one business day.