Yassine Bahaj

Consultant intelligence décisionnelle principal @ MERCURE IT

About

As a final-year student specializing in Computer and Network Engineering, I am deeply passionate about data-driven technologies and their transformative impact on business and industry. My academic experience has honed my skills in data analytics, business intelligence, and big data solutions. I am committed to leveraging data to drive strategic insights and operational efficiency, always seeking opportunities to deepen my expertise in cutting-edge tools and technologies within the field of data engineering and analytics

Country

Morocco

City

Casablanca

Industry

Education Management

Skill

Analyses Big Data, Gestion des données, Pipelines de données, Qlik Sense, Tableau, IBM Cognos Analytics, Unifront, Apache Spark, superset, Spring Batch, Java, Microsoft Azure, DevOps, Azure DevOps, React.js, docker, Kubernetes, Git, GitHub, Talend Open Studio

Experience

Consultant intelligence décisionnelle principal

MERCURE IT

2025-3 - Present · 1 yr 7 mos

Casablanca et périphérie

Développeur

SENDATRACK

2025-3 - 2025-4 · 2 mos

Casablanca-Settat, Maroc

BI Developer

MERCURE IT

2024-7 - 2024-9 · 3 mos

Casablanca

I developed a data platform based on a data warehouse using Spring Batch to process and orchestrate data flows. The data warehouse contained a central table with the IDs of various other tables. My task was to automate the ingestion and processing of these IDs while ensuring their visualization through Superset, thereby facilitating data analysis and decision-making. This experience allowed me to strengthen my skills in data engineering, ETL processes, and data visualization.

BI Developer

MERCURE IT

2023-6 - 2023-9 · 4 mos

Casablanca

Implementation of an ELT Project: Migrated the existing ETL architecture to a new ELT architecture to improve call management efficiency. Designed and built the new architecture after analyzing requirements using SQL, Java, and Talend. The new design enhanced scalability and power in the data processing flow. Implementation of a BI Project on Customer Claims: Cleaned and aggregated data from various sources. Performed calculations and analyses on the data. Transitioned the architecture from ETL to ELT for better efficiency. Loaded the data into a data warehouse and created detailed reports for Business Intelligence.