Databricks
Databricks Certified Data Engineer Associate
Lakehouse data engineering on Databricks: building and productionising ETL with Spark SQL and Python, incremental processing with Delta Lake, and the governance and job-orchestration layer around a pipeline. It formalises the pipeline work I had been doing in Alteryx, Python, and Snowflake on a platform built for it.
What it covers
The domains the credential examines, taken from the issuer’s own published outline, not a self-assessment.
Databricks LakehouseDelta LakeSpark SQLPySparkIncremental ETLWorkflow OrchestrationUnity Catalog & Governance
Where it shows up
A credential is a floor, not a portfolio. The case studies are where this work is actually visible: the architecture, retrieval, and pipeline decisions behind them, with the measurements that back each one.