Jordan Le Saux is a data pipeline engineer with 10 years of cross-functional experience building production data and ML workflows across startups and large enterprises from Paris. Currently driving data pipeline efforts at HOQI for AI-driven virtual homestaging, he previously delivered AWS-based PySpark and Python solutions for Allianz Trade’s Data Lab, focusing on cash flow hedge and risk use cases. His background blends hands-on engineering, project management at consultancy Kaokeb, and formal training in data science and AI from Dauphine and Jedha, giving him both technical depth and commercial awareness. Fluent in working with international teams—having been the sole foreign employee in a Japanese consultancy office—he brings strong communication skills to complex, multicultural projects. Jordan combines pragmatic orchestration of cloud data stacks (Glue, Athena, S3, GitLab CI) with an appetite for innovation and product-first thinking in early-stage ventures.
11 years of coding experience
4 years of employment as a software developer
Data Engineering Ingénierie informatique, Data Engineering Ingénierie informatique at Jedha Bootcamp
Data Sciences executive education Intelligence artificielle, Data Sciences executive education Intelligence artificielle at Université Paris Dauphine - PSL
Epitech
Inalco - International Trade Master’s degree - Asia region Major in Financial Analysis. Quantitative Economics & Country Risk Analysis Japanese language, Inalco - International Trade Master’s degree - Asia region Major in Financial Analysis. Quantitative Economics & Country Risk Analysis Japanese language at Sorbonne Université
Certification : Conseillers du Commerce Extérieur de la France, Certification : Conseillers du Commerce Extérieur de la France at Comité National des Conseillers du Commerce extérieur
Simple web App to analyse the flies of your bebop drone (json metadata file)
Contributions:2 releases, 4 commits, 2 PRs in 6 years 4 months
file-metadatabebopmetadatadronejson-metadata
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