Resume
A Data Engineer specializing in scalable infrastructure and supply chain compliance. I build robust data pipelines and EDI validation systems using Python and SQL. With a background in business intelligence and frontend development, I bridge the gap between complex backend data and intuitive, user-centric applications.
Work Experience
Data Engineer
PhaxelNov 2025 — Present
- Architected end-to-end data pipelines for the ingestion, validation, and transformation of Electronic Data Interchange (EDI) documents within a supply chain context.
- Engineered a custom validation engine that enforces strict schema compliance and data quality rules for high-volume B2B transaction streams.
- Designed scalable data architectures to handle diverse messaging standards (such as X12 or EDIFACT), ensuring 100% data integrity before downstream system integration.
- Implemented robust monitoring and error-handling for real-time data processing, providing visibility into data health and compliance metrics.
Business Intelligence Analyst
TechStride SolutionsJun 2025 — Nov 2025
- Performed ETL processes using SSIS packages to transform data into meaningful insights.
- Conducted ad-hoc analysis on large datasets to identify trends and correlations between variables.
- Optimized existing database structures by restructuring tables, creating indexes, resulting in improved query performance
Software Developer
AJICODJun 2024 — Sep 2024
- Collaborated with other software developers on design, development and testing of programs.
- Designed and coded new software or modified existing software to add new features.
- Designed and implemented various web-based applications for clients.
Junior Data Consultant
SoFresh AgricoleJun 2023 — Aug 2023
- Performed root cause analyses to identify areas of improvement in the data collection process.
- Identified gaps in existing data sets and recommended solutions to fill them.
- Established protocols for ensuring accuracy of collected information.
Education
Master of Science in Data Science
University of Applied Science Ibn Zohr- Relevant coursework: Advanced Machine Learning, Distributed Systems, Big Data Infrastructure (Spark/Hadoop), Cloud Computing, Deep Learning, Reinforcement Learning
- Master's Thesis: "Building a Translation and Summarization Platform using Reinforcement Learning from Human Feedback (RLHF)"
- Specialization in scalable data architectures and production-grade AI systems
Bachelor of Data Science
University of Applied Science Ibn Zohr- Relevant coursework: Data Structures & Algorithms, Database Systems, Statistics, Linear Algebra, Software Engineering, Web Development
- Senior Capstone: "Building a Scalable Data Pipeline for Real-time Analytics"
- Member of The FSA IT Club • Member of Chess FSA Club
Tech Stack
Languages
Data Engineering
Machine Learning
Cloud & DevOps
Some Things I've Built
Featured Project
Real-time Data Pipeline for E-commerce Analytics
Scalable data engineering pipeline processing 100k+ e-commerce events/minute using Kafka, Spark Streaming, and Airflow with automated quality checks.
Apache KafkaSparkSnowflakeAirflowGrafana
Featured Project
Customer Data Warehouse & Analytics Platform
Comprehensive data warehouse in Snowflake handling 50M+ customer records with CDC pipelines using Debezium and Kafka for real-time synchronization.
SnowflakeDebeziumKafkadbtPower BIPython
Featured Project
IoT Data & Anomaly Detection
ML system for real-time anomaly detection on 10,000+ IoT sensors using Kafka and Spark; 95% failure detection accuracy.
Apache KafkaSpark StreamingDockerTensorFlow


