Prerequisite Knowledge
- Comfort with spreadsheets or structured data
- Curiosity about trends and metrics
- Willingness to practice SQL and dashboards
Learn the core patterns behind extracting, transforming, and loading data for reporting and operations.
Veterans who like metrics, reporting, dashboards, and structured analytical work.
Learn the core concepts, vocabulary, and hands-on basics for ETL / ELT Foundations. Build one small practice project or lab and document what you learned.
Use SQL, Python in a more realistic scenario, practice troubleshooting, and create portfolio evidence tied to the skills employers ask for.
Move from task execution to ownership by improving reliability, security, communication, and delivery quality within ETL / ELT Foundations workflows.
Each step includes free learning links so users can move straight from plan to practice.
Learn the fundamentals of ETL / ELT Foundations and complete one introductory course.
Install or access SQL, Python and finish one guided lab.
Capture notes, unfamiliar terms, and a short weekly reflection so you can see progress.
Build a practice project that demonstrates Data movement and Transformation logic.
Review at least one certification objective from Databricks Data Engineer Associate.
Update LinkedIn and your resume with concrete tools, projects, and results.
Create a portfolio-ready artifact or demo tied to ETL Developer responsibilities.
Practice explaining your project, your learning process, and your transferable veteran strengths.
Start applying to internships, apprenticeships, support roles, or junior positions connected to ETL / ELT Foundations.