About Tahar
Detailed-oriented, responsible, and committed engineer, with a get-it-done, on-time, and high-quality product spirit. I can define myself in one sentence: " Data enthusiast & Proud Geek".
During my work experience and personal projects, I have been able to not only improve my programming skills but also work on different technologies and master them such as - Foundry Palantir
- Cloud AWS
- Apache Spark / Pyspark
- Python
- Typescript
I have also been able to improve my communication skills to ensure my client's satisfaction and to deliver the best products.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km)
Experience
- ENGIE ITData EngineerENERGY AND UTILITIESOctober 2021 - Today (4 years and 8 months)Paris, France- Extract data from different data sources with a specific frequency (API, SQL server, RDS) then load it into either S3 buckets or Redshift.- Set up and develop data pipelines with Pyspark for automatically integrating data from different sources into dashboards on Palantir.- Load data into Redshift from different sources ( S3, RDS)- Optimization of Jobs and Pyspark scripts
- TriMTranslate into MeaningData EngineerENVIRONMENTALNovember 2020 - July 2021 (8 months)Turin, Metropolitan City of Turin, Italy- Coordination with cross-functional technical teams- Gather the needs of the companies and write the technical specifications.- Extraction of data from different sources with a daily frequency (API, SQl server).- Use of Clustering algorithms to better understand different wind characteristics.- Automatically generate reports and dashboards.- Large-scale optimization.
- Segula TechnologiesDeep Learning & Computer Vision TraineeAUTOMOBILESeptember 2019 - September 2020 (1 year and 1 month)- Co-author in the writing of an article entitled: A Comparative Study of Deep Learning-based Depth Estimation Approaches: Application to Smart Mobility.- Working on the Myria Super Computer using the ssh protocol to train a neural network (Linux).- Test and evaluate different methods for depth map estimation (PSMNEt, GWCNEt, GCNet ...) from a pair of images or the KITTI database (Python).- Develop an algorithm for Object Detection for Autonomous Vehicles by using images and Lidar data. (Python)- Build a stereoscopic camera using Basler cameras for object detection in real time (Python, C++).
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Education
- Diplôme d'ingénieur, électroniqueENSEIRB-MATMECA2020Diplôme d'ingénieur, électronique
Certifications
- AWS Certified Cloud Practitioner}AWS2021
- AWS Certified Solutions Architect – AssociateAWS