Freelancer profile translated to English.
Back to original languageAbout Thierno Aguibou
Data and Artificial Intelligence Engineer, agronomist engineer and holder of a higher technical laboratory technician diploma, I have a hybrid profile at the interface between data, agri-food, agronomy and laboratories.
With over four years of experience, I have supported organizations such as SNCF, Consort, Decathlon, and Téléperformance. My career has also been enriched by working with reference players like Lactalis Nestlé, CNRS, and CIRAD, through field missions, applied projects, and supervised experimental work.
My expertise covers Data Engineering, Business Intelligence, Data Visualization, Cloud Computing, and Artificial Intelligence. I have notably designed complex Power BI reports, developed data architectures on Microsoft Azure, implemented ETL pipelines, automated processes, and contributed to AI projects.
This dual business and technical culture allows me to understand the challenges related to quality, traceability, laboratory results, agronomic data, and the optimization of agri-food processes.
In parallel, I am developing AgriNova, an entrepreneurial project pre-incubated at Sorbonne, at the intersection of data, AI, and agricultural challenges.
French
Native or bilingual
English
Fluent
Spanish
Basic
Can work on-site
Paris (up to 50km), Lille (up to 10km)
Experience
- SorbonneAgriNova - Entrepreneurial projectTECHJuly 2025 - May 2026 (11 months)Paris, FranceDesign and development of an intelligent AgriTech solution combining data engineering, artificial intelligence, cloud, mobile application, and decision-making dashboards. The project aims to transform application and field data into actionable recommendations for operational management.For confidentiality and concept protection reasons, functional, algorithmic, and business details are not disclosed in this document.-> Data Engineering, Automation, and Cloud Computing
- Design a cloud data architecture to collect, structure, and exploit application and field data
- Implement data pipelines with Azure Data Factory, Azure Databricks, and PostgreSQL
- Structure relational and NoSQL databases with PostgreSQL, Firebase, and Supabase
-> Manage development, pre-production, and production environments- Artificial Intelligence, BI, and application development
- Design a business AI assistant specialized in decision support
- Work on fine-tuning, orchestration, and evaluation of LLM models
- Create monitoring dashboards with Power BI and Looker Studio
- Develop a React Native mobile application and backend/API services connected to data, AI, and Firebase
- Consort FranceData Engineer Consultant | Data ScientistDIGITAL AND ITMay 2023 - June 2025 (2 years and 1 month)Paris, FranceAs a consultant, I have supported major clients, including SNCF and Decathlon, in leveraging their data. I am involved in the entire data lifecycle (collection, processing, analysis, reporting) from various sources (APIs, databases, files). I also assist business teams in defining their needs and implementing robust, adapted, and sustainable data and AI solutions. My interventions are structured around the following areas:● Gathering and defining client requirements● Extracting, transforming, and loading data for various projects● Developing business intelligence reports● Conducting technical and functional tests● Developing artificial intelligence agents, models, and applications➔ Achievements and tasks performedData Engineering, Automation, and Cloud Computing● Defining the architecture of data processing systems on Azure & GCP Cloud● Calling and exploiting different data sources (API, Files, Databases, Data Lake)● Developing data processing algorithms with Python/Spark/Pandas● Creating and continuously deploying data pipelines with Databricks, Azure DevOps, Dataflow, Cloud Functions, AppSheet, App Engine, Github, etc.● Deploying BI reports by creating online applications in different environments➔ Creation of artificial intelligence applications● Insurance cost prediction models● Customer churn rate prediction models➔ Creation and maintenance of BI reports (Power BI & Looker Studio)● Importing, modifying, and validating data● Creating relevant dashboards● Maintenance➔ Definition and implementation of test plans● Setting up a testing strategy● Implementing unit tests, integration tests, and regression tests
- DECATHLON SE - FRANCEData Engineer | Business Intelligence Engineer ConsultantSPORTSFebruary 2022 - March 2023 (1 year and 2 months)Lille, FranceContext:As a Data Engineer / BI Consultant within Decathlon's Data team, I supported the company internationally by developing new features for the Amazon Quicksight BI tool, designing and maintaining data pipelines, creating BI reports, administering data tools, and providing support.The mission is divided into three main activities:
- Provide technical expertise
- Administer tools and platforms
- Provide technical support
➔ Data Engineering, Automation, and Cloud Computing- Exploiting different data sources (API, Files, Databases, Data Lake)
- Developing, building, maintaining, and testing data pipelines.
- Developing data processing algorithms with Python/Spark/Pandas
- Automating the deployment process (CI/CD)
- I worked with tools and platforms such as: Jenkins, Airflow, DBT, Redshift, Glue, Athena, Lambda, Cloud Watch, Apache Spark on Amazon EMR and Google Cloud
➔ Providing technical expertise- Assisting teams in expressing their needs for data project implementation.
- Assisting technical users (Data Scientists, Data Analysts, and BI Engineers) with architectural choices.
- Assisting technical users in building and maintaining data pipelines and implementing databases.
- Assisting technical users in building relevant and user-friendly dashboards (with Power BI & Amazon Quicksight)
➔ Administration of tools & platforms- Managing user accounts
- Automating several repetitive administrative tasks (access, monitoring, etc.)
- Access control
- Identity and Access Management (IAM)
- Ensuring user security
- Complying with regulations
- Communication and support
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Education
- Master's degree in Computer Science, Information Systems, and NetworksInsa de Lyon2020● Intelligence artificielle ● Informatique décisionnelle ● Algorithmie et programmation orientée objet avec C++ ● Ingénierie logicielle et modélisation UML ● Langage java ● Design d'interfaces utilisateur ● Bases de données ● Architectures applicatives ● Données du web ● Systèmes d'information d'entreprise et ERP ● Système d'exploitation Linux et langage Shell ● Bases techniques pour les réseaux et systèmes distribués ● Programmation concurrente ● Réseau, cloud et sécurité de l'information ● Gestion de projets ● Veille technologique ● Numérique responsable ● Métier, carrière ● Mission en Entreprise ● https://www.insa-lyon.fr/fr/mastere-informatique#0
- Dual degree: University Diploma at Master's level, Data Analyst, computer science and statistics for decision-makingUniversité de Montpellier2019● Data Mining et Data Warehouse ● SAS Base, SAS Analyse de données et SAS Econométrie ● Programmation Python ● Excel avancé ● Planification et conception des architectures systèmes ● Intégration de Systèmes ● Administration Réseau ● Cloud Computing ● Gestion des risques ● Gestion de projets ● Projet collaboratif ● Stage
Certifications
- Specialist in Artificial Intelligence and Machine LearningLinkedIn Learning2024
- AWS Cloud Practitioner EssentialsAmazon Web Services2025