🎓 Computer Science Engineering — EMSI Casablanca (5th year)
🎓 Master 2 MBDS — Université Côte d'Azur
🔎 Seeking a PFE / Final-Year Internship in Data Engineering — starting Feb/March 2027 — Morocco / France

I build reliable data pipelines: capturing changes from operational systems, orchestrating workflows, and turning heterogeneous data into dimensional models that teams can monitor and analyze.

During my internship at MyTower, I worked on data supervision for enterprise EDI flows with Debezium, Kafka, Airflow, PostgreSQL and Grafana. On the side, I build projects around ELT architectures and applied AI on top of data.

What I focus on:

• 🔄 CDC and data integration
• ⚙️ Pipeline orchestration and observability
• 🏗️ ELT and Bronze/Silver/Gold architectures
• 📐 Kimball dimensional modeling
• 🤖 Applied ML and GenAI as a complement to data engineering

Core (used in internship or main projects)

Data Modeling: Kimball · Dimensional Modeling · Star Schema · Bronze/Silver/Gold

Full code, READMEs and architecture diagrams are in my pinned repositories.

Monitoring platform for enterprise EDI processing flows across Stambia and Apache Airflow.

Debezium Kafka PostgreSQL Java / JdbcTemplate Apache Airflow Grafana Docker

Designed and built a supervision layer that unifies Stambia logs, Airflow executions and functional EDI events into a single analytical model.

• CDC ingestion with Debezium and Kafka, plus Java JdbcTemplate pipelines to collect and normalize heterogeneous supervision data.
• Unified PostgreSQL model consolidating client-specific functional rejection data.
• Kimball dimensional models for execution, SLA, rejection and alert analytics.
• 9 Grafana dashboards and alerting workflows for execution health, SLA compliance, rejection rates and anomalies.
• Containerized environment with Docker Compose.

Details of my role and context: see the Experience section below.

End-to-end ELT pipeline integrating multiple business data sources into a customer analytics model.

dlt Kestra Apache Spark BigQuery dbt

• Ingestion of multiple business sources with dlt, orchestrated with Kestra.
• Bronze/Silver/Gold architecture: raw landing, cleaning, deduplication and validation, then dimensional modeling for analytics.
• Dimensional model on BigQuery transformed with dbt.

Personal finance assistant built as a proactive "personal CFO".

LangGraph LangChain LlamaIndex RAG TensorFlow FastAPI BigQuery

• Multi-agent system with 10 specialized agents: budgeting, goals, anomaly detection, behavioral analysis, forecasting and simulations.
• RAG pipeline for grounded financial insights and LSTM-based spending forecasting.
• Multimodal inputs: voice logging and receipt OCR.

Graph-based fraud detection combining Neo4j and machine learning.

Python Neo4j XGBoost Pandas Streamlit

• Built a financial transaction graph and engineered behavioral and temporal features.
• Trained an XGBoost fraud classifier and wrote predictions back into Neo4j to support investigation.

Persistent memory system to keep project context across AI conversations.

FastAPI Python Ollama Chrome Extension LLM

• Pipeline that captures conversation events, extracts project changes with a local LLM, merges structured memories and stores them in a reusable knowledge base.

Jun 2026 – Aug 2026

Joined the data team to supervise enterprise EDI processing flows running on Stambia and Apache Airflow.

• Owned the design and implementation of the supervision data pipeline, from CDC ingestion to dashboards (see project above).
• Worked with heterogeneous, client-specific data sources and aligned the dimensional models with SLA and rejection monitoring needs.

Sep 2025

• Consolidated operational and commercial airline datasets into a unified Customer 360 view using SQL and Python.
• Built dashboards and KPI models on revenue, flight delays and load factors.

• Xelops Technology — Software Developer Intern (Jul – Aug 2025): Spring Boot REST APIs, React / Material UI components, PostgreSQL with Spring Data JPA, Agile and GitLab workflows.
• Career Center EMSI — Data & Automation Intern (Jun – Jul 2025): automated recruitment, sponsorship and event workflows, including data validation, deduplication and email notifications.

• dbt Fundamentals
• Databricks Lakehouse Fundamentals
• Microsoft Certified: Azure Data Fundamentals (DP-900)
• Also: Oracle Database 19c Administration · OCI DevOps Professional · NVIDIA — Applications of AI for Anomaly Detection · Deloitte — Data Analytics Job Simulation

🔎 Looking for a PFE / final-year internship in Data Engineering, starting February/March 2027, in Morocco or France.

Interested in missions around pipelines, CDC/streaming, orchestration, data modeling and platform reliability.