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.