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SEO Analytics.

Django APIs, ClickHouse pipelines, and SEO analytics architecture across three roles.

The challenge

Scale SEO analytics from APIs and keyword features into resilient data pipelines—while growing the engineering practice around them.

My contribution

  • Built 10 Django apps and 30+ DRF endpoints with custom permissions (~40% better API access control)
  • Led SEO analytics data-pipeline delivery; code-review practices cut recurring defects ~20%
  • Advised on Python, Django, and ClickHouse architecture with ~95% issue-closure success
Role
Engineer · Team Lead · Technical Consultant
Stack
Django · DRF · ClickHouse · SQL · Docker · Python
Context
Mizfa Tools · 2021–2025 · Alborz, Iran
An engineering study, illustrating the project’s working environment

A growing engineering responsibility

My work at Mizfa Tools evolved from software engineering to technical team leadership and then consulting. Across those roles, the common focus was the backend and data infrastructure supporting SEO analytics.

Working with data at scale

As an engineer I built Django applications and DRF APIs with custom permissions. As team lead I owned data-pipeline delivery and mentoring. As a consultant I advised on SEO analytics architecture—Python, Django, and ClickHouse—and resolved backend conflicts with high issue-closure success.

Intake APIs · Keywords
Pipelines SQL · ClickHouse
Insights Search analytics