01
Data Engineering & Pipelines
Building scalable ETL pipelines and data workflows with Azure Data Factory, Databricks, and modern orchestration tools. Focus on reliable data ingestion, transformation, and structured storage.
Full Stack Developer
Backend and API foundations paired with hands-on ETL and automation pipelines, now focused on Azure data engineering.
Building reliable data flows from extraction and transformation to structured storage while integrating ML where it delivers measurable value.

About
ETL pipelines, Azure Data Factory, structured storage
APIs, enterprise modules, automation at scale
DP-203 certification and deeper Azure data engineering
Full stack developer with a strong backend and API foundation, progressively specializing in data engineering and Azure-based data platforms.
Experience delivering modular enterprise systems ERP modules, real-time applications, and document automation has shaped a practical understanding of how operational data is produced, transformed, and consumed.
Work with Azure AD, Microsoft Graph API, and SharePoint in enterprise contexts provides a natural bridge into the broader Azure data ecosystem (Data Factory, Databricks, Synapse).
Currently deepening Azure data engineering skills and pursuing the DP-203 Data Engineer Associate certification.
What I do
Specialized in building data-driven systems that bridge backend infrastructure, data pipelines, and user-facing applications.
01
Building scalable ETL pipelines and data workflows with Azure Data Factory, Databricks, and modern orchestration tools. Focus on reliable data ingestion, transformation, and structured storage.
02
Developing enterprise applications with .NET/C#, React, and Node.js. Experience with modular ERP systems, real-time applications, and document automation integrated with Microsoft Graph and SharePoint.
03
Integrating machine learning capabilities into production systems. Practical experience with Azure AI services, computer vision applications, and bringing ML models into operational data flows.
My Approach
Four stages I walk every project through — focused on quality, reliability, and outcomes you can measure.
Extract data from sources, validate schemas, and handle errors early so pipelines stay trustworthy.
Clean, normalize, and structure data so business logic has a reliable foundation.
Apply rules, aggregations, and ML only where they create clear, measurable value.
Serve results through APIs, dashboards, or downstream systems that people can act on.
Selected work demonstrating full-stack development, data engineering, and enterprise system integration
Esports analytics requires ingesting and processing high-volume, real-time game data at scale.

People tracking workouts need a simple, fast mobile logging tool.

Organizations need a unified system to manage the full employee lifecycle and daily HR operations across multiple functions.

Clinical OCT image review required faster, consistent screening support without replacing specialist judgment.

Agricultural decision support needed reliable crop yield estimation and disease classification across many plant types.

Attendance tracking across sites required reliable identity capture and consistent synchronization of records.

Inventory views lagged behind physical stock movements, limiting operational responsiveness.
Building enterprise systems, data pipelines, and full-stack applications
Technical expertise across data engineering, backend systems, and full-stack development
Learning path
From foundations to data engineering — building the stack behind reliable systems.
Computer Engineering
Big Data & Business Intelligence
Computer Engineering graduate specializing in data platforms, analytics, and Azure-oriented data systems.
Bachelor's in Computer Science and Multimedia
Foundation in software, multimedia, and distributed systems — from JEE and cloud concepts to AI and Scrum.
High School Diploma in Computer Science
Early focus on computer science and problem-solving fundamentals.
Outside the IDE
Teams, clubs, and habits that shaped how I collaborate and stay consistent.
Sports
El Alia Sports Team
Years of team training and competition — building discipline, stamina, and the habit of showing up.
Academic
Microsoft Club, ISIMS
Active in a campus tech community — workshops, peer learning, and early exposure to Microsoft tools.
Credentials
Formal proof points for the stack I build with — cloud, data, and engineering depth.
DP-203
Microsoft
Data pipelines, storage, and security on Azure
Open to Full Stack and Data Engineering opportunities with ESNs and enterprise teams. Prefer email for first contact.
Get in Touch