Husam Abdelqader

Senior Data Engineer building reliable, scalable data systems.

I design and build data pipelines, infrastructure, and platforms that turn raw data into reliable, accessible resources. I care about clean architecture, automation, and making data work for the people who need it.

Experience

Education

BSc Data Science and Artificial Intelligence
Maastricht University, Netherlands
2019 — 2022

Honors Graduate, GPA: 7.93

Skills & Tech Stack

Python FastAPI Streamlit Pandas Polars SQLAlchemy Pydantic Data Pipelines ETL Data Warehousing Stream Processing Apache Kafka Apache Airflow Apache Flink Apache NiFi Event-Driven Architecture REST APIs PostgreSQL Redis Azure Cosmos DB Gremlin Apache Druid CloudNativePG Azure Azure Functions Azure Blob Storage Azure Queues Terraform Docker Kubernetes CI/CD Git Machine Learning Power BI

Projects

Business Process Monitoring Tool

Designed, built, and tested an end-to-end business process monitoring tool from scratch. Responsibilities included client requirements gathering, architecture design, and full-stack development.

Python Streamlit FastAPI APScheduler Redis PostgreSQL Apache Kafka Apache NiFi Docker Kubernetes
Confidential

Day-Ahead Energy Spot Market Tool

Built a custom tool for clients to prepare and process bids on the day-ahead energy spot market. Enables data-driven decision-making for energy trading operations. Features an optimization algorithm, integration with external systems, and a complete audit trail of all operations.

Python Streamlit FastAPI Redis PostgreSQL Docker Kubernetes
Confidential

Conformal Decision Rules

Researched and developed a novel machine learning algorithm capable of reliable and explainable predictions. Applied to identify at-risk patients in mental healthcare, improving patient care outcomes. Published at ECML 2022 and COPA 2022.

Python Machine Learning Scikit-learn Conformal Prediction Classification Research
View publications

Graph-Based Data Warehouse

A cloud-native Data Warehouse built on Azure Durable Functions with a graph-based architecture for enterprise data integration. Consolidates data from multiple enterprise systems into a centralized SQL Server warehouse. Features a custom ETL pipeline framework, knowledge graph data model organized using Domain-Driven Design across 10+ business domains, and serverless orchestration with fan-out/fan-in pattern for parallel execution.

Python Azure Durable Functions SQL Server SQLAlchemy Docker ETL
Confidential

Publications

Awards

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