22_SPECIALIZATION_TRACKS.md

22 - Specialization Tracks (Choose Depth Without Losing Breadth)

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Use this after or alongside the full-stack mastery path.

Track 1 - API and platform engineering

Focus:

• service architecture,
• API versioning,
• auth,
• reliability.

Ship:

• one production-style platform API,
• one event-driven worker system.

Track 2 - Data and pipeline engineering

Focus:

• ETL orchestration,
• data quality enforcement,
• schema governance,
• lineage.

Ship:

• enterprise-style ingestion framework,
• data contract enforcement suite.

Track 3 - Automation and integration engineering

Focus:

• scheduled automation,
• integrations (monitoring APIs/SQL/external APIs),
• idempotency,
• failure recovery.

Ship:

• multi-source integration toolkit with runbooks.

Track 4 - Web app and dashboard engineering

Focus:

• web UX in Python stack,
• data access optimization,
• caching,
• export and reporting experience.

Ship:

• full-stack web app with role-aware workflows.

Track 5 - Reliability/security/performance engineering

Focus:

• threat modeling,
• fault injection,
• profiling,
• SLO/SLA thinking.

Ship:

• resilience hardening report + benchmark improvements.

Multi-track mastery rule

• Primary track: go deepest.
• Secondary track: reach strong competency.
• Remaining tracks: maintain working fluency.

Primary Sources

• FastAPI tutorial
• SQLAlchemy tutorial
• Streamlit get started
• Dash tutorial

Optional Resources

• Real Python
• Exercism Python

Next

Next: 23_RESOURCE_AND_CURRICULUM_MAP.md →