Databricks Data Engineer case studies
Databricks Data Engineer · Put your knowledge to work in context.
The Databricks Certified Data Engineer Associate is a proctored, entry-level certification that assesses a person's ability to use the Databricks Data + AI Platform to execute foundational data engineering tasks. It is aimed at practitioners with hands-on experience building ETL pipelines - data engineers, analytics engineers, and developers moving onto the lakehouse - and serves as a structured way to demonstrate baseline platform skills. The Databricks Data Engineer case studies are 5 cases and about 3,531 words.
1Auto Loader Backlog, Schema Drift, and a Duplicate-Producing Checkpoint Reset
A pipeline ingests roughly 120,000 small JSON files per day (about 400 GB) from an ADLS Gen2 landing zone into a bronze Delta table. Auto Loader runs as a triggered stream every 15 minutes; each run takes 11-14 minutes, most of it spent listing the landing prefix, and the backlog grows during peak hours.
702 words, about 4 min2Partitioning Plus Z-ORDER on a 6 TB Clickstream Table
A 6 TB Delta table silver.events holds four years of clickstream data. Analysts query it mostly for the trailing 90 days, filtering on event date and customer id (about 30 million distinct values); a smaller set of dashboards scans all of history.
701 words, about 4 min3Repair Runs, Spot Loss, and Cluster Topology in a Nine-Task Job
A nightly Lakeflow job has nine tasks: a Python wheel ingestion task, four silver notebooks that can run in parallel, a SQL gold task, a validation task, and a publish task. Everything runs on one autoscaling job cluster (8 workers).
729 words, about 4 min4Hand-Deployed Jobs Across Three Workspaces
An analytics engineering team of 12 maintains 40 notebooks and 15 jobs across three workspaces: dev, staging, and prod. Changes are made in the prod workspace UI, exported to Git weekly, and deployed by running a documented sequence of CLI commands from one engineer's laptop using a personal access token.
671 words, about 3 min5Regional Row Filtering, PII Masking, and Thirty Shadow Copies
One Unity Catalog metastore serves a company whose customers are in the EU and the US. A 400-person analytics community queries sales.customers , which holds name, email, national id, region, and 40 other columns.
728 words, about 4 min