Open to Data Engineering & AI Opportunities · PFE 2027

Bridging the gap between Data Engineering & Data Science.

I’m a Final-Year Engineering Student at ENSAH with a double perspective. I build robust data pipelines and lakehouses upstream, and extract high-impact value through predictive Machine Learning and Generative AI (LLM & RAG) downstream.

Explore Projects View Résumé (PDF)

100k+ msg/s Kafka & Spark Streaming

LLM & RAG Qdrant Vector Intelligence

ENSAH · 2027 Data Engineering Degree

Yousra Khallou Data Engineer & AI Specialist

Open to work

Core Expertise

Data Engineering

92%

Machine Learning

85%

Generative AI & LLM

80%

Tech Stack

Spark Kafka Python ⬡ LLM RAG 🗄 DeltaLake

Hybrid RAG & LLM

Spark & Kafka

Qdrant Lakehouse

End-to-End PipelineIngestion · Lakehouse · ML & AI

✦ Seeking PFE 2027 Internship (National & International) ✦ State Engineering Degree · ENSA Al Hoceima ✦ Dual Expertise: Data Engineering & Applied AI ✦ End-to-End Lakehouse & Streaming Architectures ✦ Generative AI: LLM Reasoning & Hybrid RAG ✦ Engineering Rigor, Autonomy & Fast Learning ✦ Transforming Complex Data into Strategic Business Impact ✦ Seeking PFE 2027 Internship (National & International) ✦ State Engineering Degree · ENSA Al Hoceima ✦ Dual Expertise: Data Engineering & Applied AI ✦ End-to-End Lakehouse & Streaming Architectures ✦ Generative AI: LLM Reasoning & Hybrid RAG ✦ Engineering Rigor, Autonomy & Fast Learning ✦ Transforming Complex Data into Strategic Business Impact

The Dual Perspective

Why mastering the entire cycle matters.

The Data Engineering Foundation

Models are only as good as the data feeding them. I ensure data is reliably sourced, cleansed, structured, and scaled with zero bottlenecks or schema drift.

Kafka & Spark Streaming Airflow & dbt Orchestration Lakehouse MinIO & Sharding

The Data Science & AI Dimension

Turning clean datasets into predictive decisions. I apply statistical rigor, machine learning, and Generative AI (RAG) to generate measurable business intelligence.

LLM & Hybrid RAG Predictive ML & XGBoost NLP & Semantic Embeddings

✦ From Distributed Collection to Statistical Modeling & Deployment ✦

End-to-End Ownership

I can independently take an initiative from raw data ingestion and pipeline creation all the way to model training, evaluation, and containerized API deployment.

Mathematical & Algorithmic Rigor

Trained in preparatory classes (CPGE), I possess a solid theoretical foundation in advanced algebra, probability, optimization, and algorithmic complexity.

Production & MLOps Mindset

I build reproducible production environments via Docker & Docker Compose, real-time telemetry (Grafana), and responsive interfaces (Power BI, Streamlit, React).

Technical Arsenal

My technical toolkit.

Big Data & Distributed Systems

High-throughput distributed computing (Batch & Streaming)

Apache Spark (PySpark) Apache Kafka Apache Flink HDFS & Hive Python MapReduce & YARN

AI, Machine Learning & NLP

Predictive modeling, deep learning & transformer NLP

Scikit-Learn PyTorch TensorFlow XGBoost HuggingFace Transformers Pandas & NumPy Sentence-BERT & DistilBERT

Generative AI, RAG & Databases

Vector search, knowledge retrieval & distributed storage

Qdrant Vector DB LLM & Hybrid RAG PostgreSQL MongoDB (Sharding) Apache Cassandra MySQL & SQL

Orchestration, Containers & APIs

Pipelines, microservices & analytics dashboards

Apache Airflow dbt Core Docker & Compose FastAPI Java & Spring Boot React MinIO & RabbitMQ Power BI & Grafana

Engineered Systems

Selected projects & case studies.

Professional Experience

Internships & industry impact.

July — Sept 2026 Remote Internship

ShiftBricks

Data & NLP Intern

Engineered an automated legal intelligence platform tracking Moroccan legislative texts from initial filing through official gazette publication. Built resilient multi-source web crawlers, automated document ingestion pipelines, and storage layers inside a containerized Docker architecture.

Python Multi-Source Web Crawling NLP Ingestion Pipelines Docker

July — Aug 2026 PFA Internship · Rabat

ONCF (National Railways of Morocco)

Data & AI Engineering Intern

Developed an enterprise regulatory conversational assistant based on LLMs and RAG enabling agents to query complex railway regulatory documents with verified sources. Implemented a hybrid dense + sparse retrieval pipeline with semantic cross-encoder re-ranking, Qdrant Vector DB, PostgreSQL, and automated PDF content extraction.

LLM Hybrid RAG Qdrant Vector DB PostgreSQL FastAPI Semantic Re-ranking Python

July 2026 Remote Internship · Casablanca

ONDA (National Airports Office of Morocco)

Data Engineering Intern

Conducted a Proof of Concept (PoC) modernizing legacy Microsoft SSIS pipelines to an automated Apache Airflow orchestration platform. Architected a Star Schema Data Warehouse on SQL Server fed from Oracle (~2.3M records), implemented an idempotent incremental ETL strategy via watermarking and generalized MERGE/upsert, built automated data quality quarantining & audit logging, and deployed analytics dashboards in Apache Superset.

Apache Airflow Oracle 23ai SQL Server DW Apache Superset Incremental ETL (MERGE) Docker Compose Python Data Quality & Audit

July — Aug 2025 Internship · Casablanca

ONEE (National Office of Electricity & Water)

Database & Systems Intern — Initiation

Analyzed the performance of a MySQL database supporting the National Dispatching reporting system. Used MySQLTuner and slow query logs to identify bottlenecks and proposed targeted optimizations across SQL queries, indexing strategies, server configuration, and security hardening.

MySQL MySQLTuner Query Optimization Indexing Slow Query Logs Database Security

Academic Journey

Education & engineering foundations.

Sept 2024 — June 2027 Al Hoceima, Morocco

National School of Applied Sciences (ENSA Al Hoceima)

State Engineering Degree — Data Engineering & Artificial Intelligence

Rigorous 3-year engineering cycle covering high-scale distributed systems (Spark, Kafka, Flink), Big Data architectures, predictive Machine Learning, Deep Learning, NLP, and modern LLM / RAG architectures.

Sept 2022 — June 2024 Al Hoceima, Morocco

National School of Applied Sciences (ENSA Al Hoceima)

Integrated Preparatory Classes (CPGE)

Two intensive years of advanced mathematics (multivariate calculus, linear algebra, probability & statistics), physics, theoretical computer science, and algorithmic problem solving.

Sept 2021 — June 2022 Midelt, Morocco

El-Ayachi Qualifying High School

Baccalaureate in Physical Sciences — French Option

Graduated with honors in scientific disciplines.

Certifications & Credentials.

5 Verified

Introduction to PySpark DataCamp Introduction à Docker DataScientest Machine Learning Process A-Z 365 Data Science Data Cleaning & Preprocessing 365 Data Science Data Ingestion with pandas 365 Data Science

Get In Touch

Let’s build intelligent data systems together.

Available for PFE 2027 & Opportunities

Ready to contribute from Day One.

I am actively seeking a 6-month End-of-Studies Internship (PFE 2027) as a Data Scientist or Data Engineer. Open to national (Morocco) and international opportunities (relocation or remote).

Direct Email khallouyoussra84@gmail.com

Location & Mobility Morocco & Worldwide (Remote / Relocation)