ETL Pipelines with Rust

Overview

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Build production-grade ETL pipelines in Rust that never drop rows silently and never panic on malformed input. In five weeks you will design the Extract boundary with serde-typed readers, enforce a Transform totality contract where every row either yields a validated record or flows through a structured error channel, and emit NDJSON and CSV from the same typed pipeline using the Write trait. You will master thiserror enums, ? propagation, proptest-based property testing, round-trip invariants, and the stderr-vs-stdout separation that makes every pipeline run auditable. The course closes with a preview of how the same contracts migrate to async with tokio — same invariants, different runtime. Every concept is demonstrated with real Rust code the instructor authored in the public repository, not pseudocode. This is the course for engineers who have shipped a Python ETL script that lost data at 2 a.m. and want the Rust type system to make that incident impossible.

Syllabus

Extract — The Input Boundary

Covers ETL pattern, type safety, Rust vs. Bash/Python, ReaderBuilder, and StringRecord.

Transform — The Business Logic Layer

Covers totality invariant, audit compliance, transform signature, error channel, and accumulation vs. short-circuit.

Load — The Output Boundary

Covers NDJSON format, serde_json::to_string(), NDJSON advantages, serde Serialize, and csv::Writer.

Composition, Testing, and Observability

Covers thin orchestrator, function composition, exit codes, thiserror derive, and ? propagation.

Capstone

Integrate every stage of the ETL pipeline into one end-to-end Rust program. The capstone has two tracks: a local Cargo project with a passing test suite and a zero-install Playground reading that runs end-to-end in any browser at play.rust-lang.org.