Building Data Systems That Drive Business Growth

Data Engineer | Business Growth Architect

I don't just build data pipelines—I build revenue engines. Every technical decision is evaluated through the lens of business impact: increased revenue, reduced costs, and competitive advantages.

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300+ Training Hours

2 Pro Certifications

20+ Technologies

class DataEngineer:
    def solve(business_problem):
        pipeline = design_etl()
        insights = analyze_data()
        return "Measurable ROI"
# Business-driven solutions

TECHNICAL STACK

Skills That Drive Value

Comprehensive expertise across modern data engineering technologies

🐍

Data Engineering

Python SQL ETL/ELT Airflow Kafka

☁️

Cloud & Big Data

Azure Big Data Deployment Scalability

🗄️

Database Systems

PostgreSQL RDBMS DBA Warehousing

📊

BI & Analytics

Cognos Looker Dashboards Viz

⚙️

DevOps & Tools

Linux Shell Git CI/CD

🤖

Emerging Tech

AI Integration ML Pipelines Prompting

More Than Just a Technical Expert

While many data engineers focus solely on technical implementation, I bridge the gap between engineering excellence and business outcomes.

I speak two languages fluently: the language of code and the language of business. Every data pipeline I design, every database I optimize, and every dashboard I create has one goal: to generate measurable business value.

💼

Business-First Mindset

Every technical decision evaluated through ROI lens—driving revenue and reducing costs

🎯

ROI-Focused Engineering

Building systems that justify their cost through measurable business impact

📈

Growth-Oriented Solutions

Scalable architectures designed to grow with your business, not against it

🌍

Bilingual Professional

Fluent in English and Arabic—bridging MENA markets and global teams

PORTFOLIO

Business Impact Through Data

Real projects solving real business problems

📊

E-Commerce Analytics

Revenue Intelligence Dashboard

Business Impact +23%

Time Saved 15 hrs/wk

Cost Savings $12K/yr

Challenge: E-commerce company lacked real-time visibility into revenue trends, leading to missed opportunities.

Solution: Built automated ETL pipeline integrating multiple data sources, creating real-time dashboard identifying revenue trends and optimization opportunities.

Python SQL Airflow Azure Looker

⚡

Infrastructure Optimization

Cost-Optimized Data Warehouse

Cost Reduction -45%

Performance 3x Faster

Scalability 10x Data

Challenge: Growing startup facing skyrocketing cloud costs as data volume increased.

Solution: Redesigned warehouse architecture with intelligent partitioning, query optimization, and automated scaling policies.

Azure Synapse SQL Python Optimization

🎯

Customer Intelligence

Predictive Analytics Pipeline

Retention +18%

Accuracy 87%

Revenue Impact $150K

Challenge: SaaS company experiencing high churn without understanding risk factors.

Solution: Developed ML-powered pipeline analyzing usage patterns, predicting churn risk, and triggering automated retention campaigns.

Python ML Kafka Airflow PostgreSQL