A Data Engineering Portfolio That Demonstrates the Full Pipeline
A portfolio pipeline should tell a reader where the data comes from, what changes and why the output is useful. A coherent…
Data Engineering
Your technology career.
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Practical guides to engineering interviews, recruitment decisions and the responsibilities behind technology roles.
Data Engineering
Apache Airflow: What to Understand Before Adding an Orchestrator
An orchestrator coordinates work; it does not make an unreliable transformation correct. Before using Airflow, understand the tasks, dependencies and recovery behaviour…
Data Engineering
Python for Data Engineering: From Script to Supportable Pipeline
A Python script becomes more useful in a data workflow when someone else can run, test and troubleshoot it. Develop habits that…
Data Engineering
SQL Skills That Show You Can Build Reliable Data Products
SQL ability is not only about writing a query that returns rows. Data engineering work also requires reasoning about what those rows…
Data Engineering
Snowflake or Databricks: Choose a Learning Project With a Purpose
A platform comparison is useful when it starts with a workload. Before deciding what to learn, define whether you want to practise…
Data Engineering
Moving Into Data Engineering: Build Evidence Across the Pipeline
A transition into data engineering is easier to explain when you can show how data moves through a complete system. Develop practical…