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Summary

Data Engineer with a Business Intelligence focus, experienced in building real-time data pipelines and analytical platforms using Kafka, Spark, dbt, and Snowflake. Strong in data modeling, scalable architectures, and delivering actionable insights through BI dashboards.

Experience

Data Engineer Intern — Credit du Maroc · Feb. 2026 - Present

• Designed and deployed an anomaly detection pipeline on transactional data, identifying abnormal patterns for fraud detection using machine learning techniques.
• Built a near real-time data pipeline using Kafka and Spark Streaming, reducing data latency from batch to seconds.
• Integrated data into a lakehouse (HDFS, Iceberg, Dremio) and developed Tableau dashboards enabling fraud mon- itoring and faster decision-making.

Big Data Engineer Intern — CNSS · Jun. 2025 – Aug. 2025

• Built distributed data pipelines on Cloudera (Kafka, Spark, Hive, Impala) to process and transform large-scale structured datasets.
• Designed a medallion architecture (Bronze/Silver/Gold) improving data organization and query performance.
• Delivered Tableau dashboards supporting operational reporting and business analytics.

Data Analyst Intern — ONP · Jun. 2024 – Aug. 2024

• Developed Power BI dashboards on top of a SQL Server data warehouse (star schema) to deliver executive KPIs and business performance insights.
• Transformed and validated data ensuring high data quality across multiple reporting layers.
• Enabled data-driven decision-making by delivering clear and actionable business insights.

Projects

Big Data Analytics Platform

Kafka, Spark, Airflow, HDFS, MLflow, Deep Learning, Power BI

• Built a Lambda architecture ingesting real-time and batch Bitcoin market data and Reddit posts.
• Developed NLP-based sentiment analysis and deep learning models to predict price movements.
• Delivered Power BI dashboards visualizing market trends, sentiment signals, and predictive insights.

Bank Performance Analytics

Python, Airflow, dbt, ClickHouse, Tableau

• Built an automated pipeline ingesting financial statement data into ClickHouse with data validation checks.
• Modeled data using dbt into a star schema, enabling efficient computation of financial KPIs.
• Developed Tableau dashboards to rank banks and analyze growth and performance trends.

Energy Data Platform

Kafka, Snowflake, dbt, Power BI

• Engineered a streaming ELT pipeline ingesting multi-source API data into Snowflake.
• Modeled data using dbt into a star schema for scalable analytics.
• Built Power BI dashboards analyzing renewable energy adoption, trends, and country comparisons.

Education

ENSIAS – National School of Computer Science and Systems Analysis · Rabat, 2023 – Present

State Engineering Degree (Master’s Equivalent) in Business Intelligence & Analytics

Preparatory Classes (CPGE) in Mathematics & Physics · Rabat, 2021 – 2023

Classes centered around mathematics, physics and engineering science (MPSI/MP)

Skills

Progrsmming Languages: · Python, SQL, R

Data Engineering: · Kafka, Spark, Airflow, dbt, HDFS, Hive, Iceberg, Impala

Data Warehousing: · Snowflake, ClickHouse, SQL Server, SSIS, SSAS, Star Schema

BI Tools: · Power BI, Tableau

ML & Analytics: · Pandas, Scikit-learn, NLP, Deep Learning, MLflow

Tools: · Docker, Dremio, Git, Linux

Leadership & Activities

Leadership: · President : ENSIAS IT Club — Treasurer : ADEI ENSIAS — Tech Manager : ENSIAS Bridge

Languages: · English, French

Soft Skills: · Problem-solving, Communication, Teamwork, Adaptability