Hi, I'm
Aziz BENAYED
Data & Analytics Engineer · AI
I turn messy data into models and dashboards people actually use. Mostly Snowflake, dbt and Power BI, with machine learning where it helps.
About
I'm a Data & Analytics Engineer. Day to day I model data in Snowflake, transform it with dbt, and ship the results as Power BI reports and Streamlit apps. I also handle the plumbing around it (ingestion, ELT, CI/CD) and work on the machine-learning side when a problem calls for it.
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Fabric Analytics Engineer (DP-600)
- Snowflake · dbt · Power BI
- French (native) · English (C1) · Arabic (native) · Spanish (B1)
Skills
Core
Snowflake · dbt · Power BI · SQL · Python
Data & cloud
Azure · GCP · Spark · Streamlit · Airflow
ML & AI
scikit-learn · PyTorch · forecasting · NLP
Engineering
Docker · Terraform · CI/CD · Git
Featured Projects
🎬 Movie Analytics - Microsoft Fabric
End-to-end Medallion Lakehouse (Bronze/Silver/Gold) with PySpark, API enrichment and a Power BI star schema.
🧊 Data Lake on Snowflake
GCS ingestion via Snowpipe, transformations in Snowflake and a Streamlit insights app.
🎥 IMDb Rating NLP
Predicting ratings from text - benchmarking TF-IDF/Ridge, sentence embeddings and DistilBERT.
🌡️ IoT Sensor Telemetry
ESP32 reads environmental sensors → MQTT → InfluxDB time-series pipeline.
⚙️ Infrastructure as Code
Reproducible AWS two-tier web stack provisioned with Terraform and configured with Ansible.
🔌 REST API - Node.js
CRUD API for users & posts with Express + Sequelize, running on SQLite out of the box.
Get in touch
Open to Data Engineering / AI opportunities and freelance work.