Data Engineer

The journey

1. What you learn

   1. Designing schemas and data models
   2. Building batch and streaming pipelines
   3. Ensuring data quality and reliability
   4. Orchestrating and monitoring workflows

2. What you will understand

   1. Normalization and schema design
   2. Batch versus streaming ingestion
   3. Idempotency and data-quality checks
   4. Pipeline orchestration and backfills

3. What you will build

   1. An end-to-end pipeline from raw source to query-ready tables
   2. A data-quality suite that guards a critical table
4. 1. The proof you build

      Evidence that you can design schemas and build reliable, re-runnable pipelines that keep data trustworthy.

      See how proof works