Hello, I am

Abdullah Mahmoud Abdullah

Data Engineer | Build ETL/ELT Pipelines

I engineer scalable, cloud-native data pipelines that transform raw data into high-value assets. Specializing in AWS, Snowflake, and Apache Spark, I build the distributed architectures that power modern analytics.

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Abdullah Mahmoud Abdullah

About Me

As a final-year Computer Science student (2022–2026) with over a year of hands-on Data Engineering experience, I thrive at the intersection of data and cloud architecture. My expertise lies in designing event-driven AWS architectures and integrating scalable Snowflake data warehousing solutions.

I am deeply passionate about distributed systems and building cloud data platforms that are robust, automated, and production-ready. I aim to continuously push the boundaries of what scalable data infrastructure can achieve.

Technical Skills

Languages

Python SQL Bash/Shell Scripting

Big Data & Processing

Apache Spark PySpark Pandas Apache Kafka Apache Airflow

Cloud & Platforms

AWS S3 Lambda Glue EC2 Athena EMR EventBridge SQS/SNS Snowflake

Databases

PostgreSQL MySQL SQL Server

DevOps & Engineering

Docker GitHub Actions Linux

Analytics & AI

Looker Studio Generative AI

Featured Projects

Explore the data engineering pipelines, scalable cloud platforms, and data architectures I have built.

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Professional Experience

Data Engineer (Freelance & Academic)

2024
  • Designed and deployed robust AWS-based ELT pipelines.
  • Integrated cutting-edge Snowflake data warehouse solutions.
  • Built distributed Apache Spark processing workflows.
  • Automated CI/CD deployments for seamless integration.

AI Engineer | Optimise-Ops

Oct 2025 – Present
  • Architected an AI-driven reporting automation platform.
  • Eliminated manual report processing for field technicians.
  • Integrated comprehensive backend services and structured analytics logic.

Services & Offerings

Cloud Data Pipeline Architecture

Serverless ETL/ELT Development

Snowflake Data Warehouse Implementation

Big Data Processing with Spark

Technical Data Engineering Consulting

Career Objective

My objective is to architect and deploy large-scale distributed data systems that solve complex analytical challenges. Focused on real-time streaming and big data architectures, I am committed to building reliable, scalable, production-grade data platforms that drive critical business intelligence.

Get In Touch

Connect with me

I'm always open to discussing data engineering, cloud architectures, and innovative tech opportunities.