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ROADMAPS / DATA ENGINEERING

Build the path. Prove the skill.

A practical route from SQL and Python foundations to reliable pipelines, distributed processing, streaming and platform engineering. Track your progress locally as you learn.

A cinematic data engineering platform connecting Python, databases, orchestration, cloud, analytics, governance and lakehouse systems
LIVE SYSTEM MAP / 03 STAGES

From foundations
to platform thinking.

Open each checkpoint, complete the work and move forward through the journey.

01 / BASIC JOURNEY

Basic

Learn how data is represented, queried, moved and stored. Build one complete pipeline before collecting more tools.

STAGE DESTINATION

You can turn a raw dataset into a trustworthy, queryable analytical model and explain every step.

0 of 7 doors completed · Journey at 0%
0% · START30% · BASIC COMPLETE
SELECT A DOOR

Tap a numbered door to open that checkpoint.

BASIC / DOOR 01

Understand the data lifecycle

A data engineer connects source systems to useful, reliable data products. Start with the system, not a tool logo.

LEARN
  • Sources and consumers
  • OLTP versus OLAP
  • ETL and ELT
  • Batch versus streaming
  • Freshness, quality and ownership
PRACTICE

Draw the path of one business event—from an application database to a dashboard—and label every storage and processing boundary.

PROOF OF WORK

A one-page architecture diagram with assumptions and failure points.

RESEARCH BASE

Go to the source.

The roadmap synthesizes current role guides and primary documentation. Tool versions change; the underlying engineering problems remain.