Open to opportunities

zakaria Difallah

@zakariadifallah

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Data engineer passionate about data science and cloud technologies.

France

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can further develop my skills in data engineering and contribute to impactful projects.

I am a dedicated Data Engineer with a Master's degree in Data Science from Paris-Saclay University. My passion lies in leveraging data to drive insights and efficiencies, and I have honed my skills in designing and deploying robust data pipelines using technologies such as NiFi, Kafka, and Azure DevOps. I thrive in dynamic environments where I can contribute to data ingestion, transformation, and workflow optimization.

Throughout my career, I have worked with leading organizations like Geodis and SmartBlockBelgique, where I have successfully automated workflows using Dataiku and optimized code for better performance. My experience includes managing complex data infrastructures and collaborating with cross-functional teams to ensure data quality and integrity. I am committed to continuous learning and mentoring others, fostering a culture of growth and innovation.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Geodis

Sep 2024 - Present (9 months)

Designed and deployed robust data pipelines using NiFi, Kafka, Cloudera, HDFS, PySpark, and AzureDevOps. Managed data ingestion, transformation, and automated workflows with Dataiku, including API integration for data enrichment.

NiFi Kafka Cloudera HDFS Pyspark Azure DevOps Dataiku API Integration

Data Engineer

SmartBlockBelgique

Oct 2024 - Jan 2025 (3 months)

Audited and maintained Python and SQL notebooks, focusing on code optimization and standardizing development practices. Collaborated proactively on project tracking and documentation using Notion.

Python SQL Notion

Data Engineer

namR

Sep 2019 - Jul 2024 (4 years 10 months)

Developed and maintained internal tools using Airflow, NiFi, and Dataiku plugins, enhancing data engineering workflows and analyzing geospatial data with SQL, Python, and GCP. Managed vision inference infrastructure, migrated PostgreSQL databases, and automated data archiving/restoration, while optimizing pipelines with Python and GitLab CI/CD and integrating Great Expectations for data quality. M

Airflow NiFi Dataiku Python SQL GCP Docker Kubernetes Gitlab CI Great Expectations

Tutor

Université Paris-Sud Saclay

Sep 2018 - Sep 2019 (1 year)

Provided training and support for students in various subjects. Offered technical assistance and mentorship to enhance their academic and practical skills.

Mentorship Training

Education

Degrees, certifications, and relevant coursework

Paris-Saclay University

Master's in Data Science, Data Science

Completed a Master's degree specializing in Data Science. Gained in-depth knowledge of data engineering, DevOps, and cloud technologies. Developed skills crucial for designing and implementing robust data solutions.

Paris-Saclay University

Dual Bachelor's Degree, Mathematics and IT

Activities and societies: Tutor (September 2018 - September 2019): Provided training and support for students, offering technical assistance and mentorship.

Earned a dual Bachelor's degree, establishing a strong foundation in both Mathematics and Information Technology. Developed analytical and computational skills essential for data-driven roles. This comprehensive program prepared for advanced studies in data science.