Mohamed-Amine Bousahih

Context: As part of Air Liquide's major digital transformation (global leader in industrial gases across 75 countries), I contributed to the Global Data Operation team developing the Unified Data Platform (UDP). This strategic marketplace enables PM/POs to govern data while allowing data engineers, scientists, and analysts to ingest, transform, and expose data across all group entities. Key Responsibilities & Achievements: - Platform Migration: Contributed to migrating from legacy AWS Lake Formation to a stable authorization system, ensuring business continuity and enhanced data governance for global operations. - Backend Development: Developed backend solutions (Python, FastAPI, Boto3) for data ingestion and governance, creating internal APIs that streamlined workflows and reduced time-to-insight for business users. - Cross-Account Security & ML Integration: Implemented PoC and group-wide deployment of secure inter-account AWS access from Data Platform to ML platform via external trust, S3 unload, and dedicated Athena workgroups. - Infrastructure & Automation: Maintained Infrastructure as Code (CloudFormation, CDK) for lake house environment (Glue, Athena, Lake Formation, DataZone). Implemented CI/CD pipelines (GitLab CI, Docker). - Dataset Preview Solution: Designed secure, group-scale dataset preview solution for Data Portal team, bypassing Lake Formation limitations through multi-account IAM roles/APIs while preserving health/HR data confidentiality and optimizing Athena costs. - API Management & Collaboration: Deployed secure API Gateways using CloudFormation, CDK, Cognito. Participated in architecture workshops and agile planning, contributing to quarterly objectives and providing client support. Business Impact: Enhanced data platform reliability and scalability, improved data accessibility for business users, and enabled secure cross-platform data exchanges. Team: 4 Data Platform/DevOps/Cloud Engineer,1 Tech Lead,1 PM in international environment

Paris et périphérie · Hybride Providing independent consulting and training services in Data Engineering, Cloud Engineering and DevOps. "Amana" - etymologically linked to trust and reliability in Arabic - embodies my commitment to building professional relationships based on trust, integrity, and reliability in all my consulting and training engagements. Services: - Supporting teams during data platform migrations and cloud transitions - Advising on data & cloud architecture based on your specific needs - Sharing knowledge and providing customized technical training - Assisting with security and compliance implementation For businesses: - Flexible training programs (on-site or remote) - Supporting technical team skill development - Practical workshops adapted to your use cases For educational institutions and individuals: - Focused course modules (Python, Algorithms, Cloud, Data Engineering) - Career guidance and CV/profile feedback - Personalized technical mentoring

Context: worked at France's leading legal intelligence platform serving over 1 million monthly visitors and 14,000 legal professionals. Doctrine centralizes and organizes legal information to help lawyers and legal experts better advise their clients while making law more accessible and transparent. Key responsibilities and achievements: - Managed SalesOps infrastructure: administered and optimized back-office systems supporting client operations and internal teams - Actively contributed to migrating critical systems (back office, APIs, Airflow, databases, AWS) to more resilient and scalable architectures - Designed and implemented batch and real-time pipelines for processing legal and commercial data - Deployed Infrastructure as Code solutions with comprehensive monitoring - Developed JavaScript/Python applications and established CI/CD pipelines - Created technical documentation and modernized legacy code - Actively participated in technical workshops and architecture sessions related to internationalization projects

Context: contributed to financial data management project for PSA Banque Stellantis at Quantmetry, a Data and AI consulting firm. Key responsibilities and achievements: - Designed, implemented, and maintained data ingestion, transformation, and exposure pipelines handling up to 1TB of financial data - Optimized Spark processing through DAG analysis and Spark UI monitoring, achieving a 30% reduction in processing time - Mentored junior engineers and interns on data lake environments, guided report writing, and created a positive team dynamic - Implemented automated pipeline deployments via TeamCity, enhancing deployment efficiency and reliability - Managed operational maintenance of the entire PSA Banque data lake scope, including monitoring, incident management and resolution, and client communication Team: 5 Data Engineers, 1 Tech Lead, 1 Project Manager

• Created and delivered training sessions for internal consultants and clients on advanced Python & Clean Code, Apache Airflow, Apache Spark, and dbt. • Data Engineer | Stellantis - PSA Avtec Powertrain Pvt. Ltd. | Jan. 2023 - August 2023 • Data Engineer | Decathlon France | Nov. 2021 - Jan. 2023 • Organized internal technical meetups featuring speakers from Back Market, Nickel, OCTO Technology, and Decathlon... • Co-organized Paris Airflow Meetup group, bringing together the local data engineering/airflow community • Co-organized FranceAI Meetup group (Total Energies and Hugging Face)

Context: contributed to a financial margin monitoring automation project for Decathlon, global sports retail leader, at Quantmetry. The project focused on preventing penalties by systematically comparing accounting data with cash register receipts. Key responsibilities and achievements: - Developed large-scale ELT pipeline processing millions of monthly records - Automated financial data comparison and made results accessible to analysts - Pioneered dbt implementation on Databricks with Delta Lake format - the first squad to deploy this solution at group scale - Created training materials for dbt/Databricks and provided support to other teams - Established CI/CD workflows via GitHub Actions and implemented DevOps templates for PySpark and Airflow - Optimized data pipelines through Z-ordering, Spark shuffle reduction, Databricks autoscaling, and effective integration of Delta, dbt and Qlik, resulting in faster processing and improved end-to-end system performance - Developed innovative solutions to technical constraints (e.g., absence of data rejection functionality during ingestion by the group-level data ingestion squad) - Achieved significant impact: error reduction, accelerated decision-making, and minimized penalties Team: 2 Big Data Engineers, 2 Business Analysts, 1 Project Manager

Context: Data Engineering internship at Assistance Publique – Hôpitaux de Paris (AP-HP), contributing to a project aimed at populating the National Rare Disease Database (BNDMR) to improve understanding and monitoring of these conditions, with the goal of reducing diagnostic delays affecting millions of people. Key responsibilities and achievements: - Developed an ETL pipeline for processing unstructured medical reports on rare diseases - Applied advanced NLP and ML/DL techniques for extracting critical medical information - Created an extraction system based on rare disease ontology - Integrated the system with the BNDMR database - Designed an efficient medical information extraction system (admission date, symptoms, diseases) from textual reports - Significantly enriched the BNDMR database with structured data, facilitating patient comparison - Contributed to accelerating the diagnostic process for rare diseases - Participated in pioneering work applying NLP to the medical domain within this entity

Paris et périphérie Context: Data Engineering internship at SNCF Réseau, the French national railway infrastructure manager. Key responsibilities and achievements: - Optimized an existing web application used by maintenance teams - Redesigned data visualization components for railway maintenance operations - Collaborated with the tech lead to refine the data model for operational efficiency - Improved SQL query performance through optimization techniques - Refactored existing code for better maintainability - Reduced dashboard loading time by 60%, significantly improving user experience - Created intuitive visualizations that reduced decision-making time for maintenance teams - Implemented efficient caching mechanisms to improve application responsiveness Context: Data Engineering internship at SNCF Réseau, the French national railway infrastructure manager. Key responsibilities and achievements: - Optimized an existing web application used by maintenance teams - Redesigned data visualization components for railway maintenance operations - Collaborated with the tech lead to refine the data model for operational efficiency - Improved SQL query performance through optimization techniques - Refactored existing code for better maintainability - Reduced dashboard loading time by 60%, significantly improving user experience - Created intuitive visualizations that reduced decision-making time for maintenance teams - Implemented efficient caching mechanisms to improve application responsiveness

Context: internship at Juggle, a startup developing innovative software solutions to improve support and independence for people with neurodevelopmental disorders in the healthcare sector. Key responsibilities and achievements: - Developed a medical prospecting web application using LinkedIn/Google APIs to identify potential prospects and partners in the healthcare sector - Designed and integrated analytical features into the main application to track children's progress - Trained business teams on data interpretation to optimize personalized support approaches - Created a functional web application for medical prospecting, improving the company's prospecting process efficiency - Implemented a system for identifying high-potential prospects in the healthcare sector - Successfully integrated analytical tools enabling precise tracking of progress for supported children - Enhanced team data analysis skills for more personalized support delivery