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Younes User

@younesuser

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Data Engineer skilled in ETL pipelines and data analytics.

Morocco

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What I'm looking for

I seek a dynamic role that fosters innovation and growth, where I can apply my data engineering skills to solve complex problems and contribute to impactful projects.

I'm a dedicated Data Engineer with a strong foundation in developing and maintaining ETL/ELT pipelines. My experience includes designing cost-effective data warehouse solutions that enhance querying and business intelligence reporting. I thrive in collaborative environments, working closely with startup teams and agencies to define data requirements and deliver production-ready solutions.

During my internships, I successfully optimized ETL pipelines using Apache NiFi, achieving significant reductions in processing times. I have hands-on experience with orchestration pipelines and have implemented horizontal Kafka scaling to manage millions of transactions daily. My technical expertise spans various tools and technologies, including SQL, DBT, BigQuery, and Docker, which I leverage to drive data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Upwork

Nov 2024 - Present (8 months)

Developed and maintained ETL/ELT pipelines to support data integration and analytics. Designed and implemented cost-reducing data warehouse solutions to enable fast querying and BI reporting.

SQL DBT BigQuery Airflow Docker ETL ELT Data Warehousing BI Reporting

Data Engineer Intern

Effyis Group

Mar 2024 - Present (1 year 4 months)

Developed and optimized ETL pipelines using Apache NiFi to process banking data from S3, achieving a 50% reduction in processing time. Built orchestration pipelines, enabling LLM inferencing on client data and generating analytical reports.

Apache NiFi Kafka Dagster MLFlow Gitlab Docker Jira ETL Kubernetes

Data Engineer Intern

3D Smart Factory

Jun 2023 - Present (2 years 1 month)

Automated data ingestion pipelines for article extraction using AWS Lambda functions and CloudWatch. Managed and versioned data pipelines for text analysis and generation models using MLflow.

Python MLFlow AWS EC2 Lambda S3 Flask Data Ingestion

Education

Degrees, certifications, and relevant coursework

National School for Applied Sciences

Engineer's Degree, Data Engineering and Artificial Intelligence

Focused on Data Engineering and Artificial Intelligence. Gained expertise in developing and maintaining data pipelines, implementing machine learning models, and managing large-scale data systems.