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BI Developer • Analytics Engineer • Data Systems Architect


📡 Analytics Systems Blueprint

Sources → APIs / Files / SQL
       ↓
Python ETL / n8n / Validation
       ↓
Warehouse → PostgreSQL / Snowflake
       ↓
Semantic Layer → Star Schema + DAX
       ↓
Power BI → KPIs / Forecasts / Alerts
       ↓
Business Decisions / Optimization

🎯 Core Value

  • Transform raw data into decision infrastructure
  • Build warehouse-ready analytics pipelines
  • Engineer semantic BI layers
  • Design stakeholder-first KPI systems
  • Convert analytics into strategic actions

🧠 Analytics Engineering Identity

role: BI Developer / Analytics Engineer
focus:
  - Semantic Modeling
  - KPI Engineering
  - ETL Automation
  - Experimentation Analytics
  - Data Storytelling
  - Forecasting Systems
specialty:
  - Power BI optimization
  - SQL performance tuning
  - Python analytics pipelines
  - Executive dashboards

🛠️ Modern Analytics Stack

Semantic BI

Power BI DAX Star Schema

Data Engineering

Python SQL PostgreSQL n8n

Cloud Analytics

Snowflake Databricks


📊 Data Delivery Telemetry


🧬 Contribution Flow Map


🚀 Featured Analytics Repositories

End-to-end financial analytics engineering system

  • historical AAPL data ingestion
  • ETL orchestration pipeline
  • warehouse-ready financial modeling
  • volatility + trend diagnostics
  • investment strategy dashboards

Core stack: Python • SQL • APIs • Power BI • Forecasting

Commercial intelligence & retention analytics

  • churn diagnostics
  • revenue leakage detection
  • KPI semantic modeling
  • retention cohort analysis
  • executive Power BI storytelling

Core stack: Power BI • DAX • SQL • Star Schema

Operations intelligence & risk analytics

  • fraud anomaly detection
  • logistics KPI monitoring
  • supply chain risk dashboards
  • fulfillment bottleneck diagnostics

Core stack: Python • Statistics • Power BI

Experimentation analytics & statistical inference

  • hypothesis testing
  • conversion uplift measurement
  • confidence intervals
  • OLS regression
  • pricing optimization insights

Core stack: Python • PostgreSQL • SciPy • Experiment Design


🌍 Leadership & Community Analytics

Treating mentorship as a measurable impact system.

50+ professionals mentored
100+ SQL/Python reviews completed
15+ career transitions enabled
Top data educator recognition in Egypt
Built: The Data Tea analytics community

🤝 Collaboration CTA

Open for High-Impact Work

  • BI platform modernization
  • executive KPI architecture
  • ETL automation systems
  • analytics engineering consulting
  • experimentation frameworks
  • forecasting dashboards

🌐 Connect Layer

LinkedIn Email Portfolio


💡 Operating Principle

The output is not reports. The output is faster, better business decisions powered by trustworthy data systems.

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