About
Bridging Data for
Actionable Insights and Growth
Data engineer with a deep interest in data architecture and cloud solutions.
Experienced in building ETL pipelines, database management and workflow automation.
Always eager to learn and take on new challenges in data engineering.
Resume
Experience & Education
Data Engineer
Capgemini Technology Services - Client : Airbus SAS
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Extracted, Transformed and Loaded data using the Spark framework on Foundry to handle structured datasets from SAP,
processing CSV and JSON file formats for seamless integration.
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Configured and developed the Foundry Workflows infrastructure under SQL,
including the design of core SQL queries to create relational trees for REST API requests.
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Implemented an automated data pipeline using an ontology object, reducing disk usage, indexed storage, and interactive computation costs by 33% .
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Automated the Export Control order process using Foundry Automate, reducing clients' repetitive workload by over 20% .
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Worked collaboratively in an Agile team of seven to develop over 300+ user stories.
Skills :
Palantir Foundry
PySpark
TypeScript
DevSecOps
Agile Methodologies
DataViz Developer
Safran Helicopter Engines
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Implemented a data monitoring solution to feed the SQL database
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Extracted required information from multiple internal sources to populate the dashboard.
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Created a tool to streamline operational maintenance management.
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Enhanced tracking of supplied parts by implementing automated alerts and reminders.
Skills :
Power BI
Microsoft SQL Server
DAX
Data Scientist
TotalEnergies
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Analyzed and processed real-time seismic images.
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Prepared and augmented data for convolutional neural networks.
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Developed and evaluated deep learning models, trained them, and denoised seismic data using the UNET model.
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Designed a plugin to integrate the model into TotalEnergies' internal platform.
Skills :
Python
Linux
Git
Computer Vision
Deep learning
Data Scientist - Intern
National Institute of Scientific Research - Quebec
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Gathered, prepared and cleaned data before the training phase.
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Designed the architecture of a Machine Learning model and optimized hyperparameters.
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Tested, validated, and applied the selected Machine Learning model (Random Forest) to make predictions on other petroleum fields.
Skills :
Python
MySQL
Git
Linux
Docker
Machine learning
Master's degree in Artificial Intelligence & Management
IA School - Elearning Campus
Master's degree in complementary skills in computer science
University of Claude Bernard Lyon1
Master's Degree in Petroleum Engineering
University of Pau and Adour Countries
Bachlor's Degree in Drilling Engineering
University of Carthage
Services
My Specializations
Data Engineering & Solutions Architecture
I have designed and implemented robust data pipelines for deployment using tools like Palantir Data Lineage and AWS Glue, as well as developed data engineering solutions with PySpark.
9 ProjectsData Science & Machine Learning
I built innovative machine learning models and data science solutions using Python
2 ProjectsData Visualization
I created data visualizations and deployed interactive dashboards using Power BI & Palantir Workshop
1 ProjectSkills
My Expertise

Python

SQL

MongoDB

Spark

Palantir Foundry

Amazon Web Services

Databricks

Power BI
ARTICLES
Articles & Blogs
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Trusted by Many Collaborators
work with many brands worldwide






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Let's Work Together!
hello@karimmajdoub.com
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