Data Engineering
Building Reliable Data Pipelines
Idempotency, observability, and the design choices that keep data flowing cleanly.
Pipelines, warehouses, and data infrastructure.
Idempotency, observability, and the design choices that keep data flowing cleanly.
Indexes, query plans, and the handful of settings that fix most slow Postgres queries.
Patterns for idempotent, observable pipelines that survive contact with real-world data.
When real-time data is worth the complexity, and when a nightly batch is plenty.