About Maathess
🎯 My mission?
🏗️ My approach: Value Engineering
🛠️ My Tech Stack
- **Methodology**: Lean, Agile
- **Cloud**: AWS, GCP (and Azure)
- **Data Warehouse**: BigQuery, Redshift, Snowflake
- **ETL/ELT**: Stitch, Aribyte, dbt (Cloud & Core), Airflow
- **Languages**: Python, Advanced SQL (⏳Scala Spark)
- **Data Visualization**: Looker Studio, Metabase, Superset
- **Infrastructure & CI/CD**: EC2, Docker, GitHub Actions, Better Stack
- **Business & IT Tools**: Google Workspace, Sellsy, Jira, Pennylane, Airtable
🚀 Ready to take it to the next level?
French
Native or bilingual
English
Fluent
Tamil
Native or bilingual
Experience
- NickelAnalytics EngineerBANKING AND INSURANCEFebruary 2026 - Today (6 months)Charenton-le-Pont, FranceClient support on the following aspects:
- Optimization of the dbt architecture, migration of models and adoption of best practices
- Translation of business needs into robust and performant models
- Implementation of tests (schema, data, custom) and CI/CD, proactive anomaly detection
- Automation of workflows with Python and integration of AI agents (Gemini) in tribes
- Support for Data Champions: skills development on dbt and data tools, workstation configuration, integration of new features
- Animation of the data community and continuous improvement of the ecosystem
- FinOps Supervision (GCP Invoice: primarily BigQuery usage): Cost saving workshop, guarantor of best practice application
- Lemon TriFreelance Data & IT EngineerLOGISTICS AND SUPPLY CHAINJuly 2025 - January 2026 (6 months)Pantin, FranceSupport for the client in their "Data driven" strategy
- Implementation of an automated actual billing system
- Development and maintenance of data pipelines
- Data modeling based on the "medallion" architecture principle
- Design of data deliverables (KPIs, dashboards)
- Support for business teams to optimize the management of their activities and the definition of KPIs to track
- Development of APIs and maintenance of data flows from sorting machines.
- Lemon TriLead Data & ITLOGISTICS AND SUPPLY CHAINJanuary 2020 - June 2025 (5 years and 5 months)Pantin, FranceDuring this experience, I quickly found my footing and progressively took on responsibilities to manage the Data and IT domains of the company. As part of a team of 4 people (2 freelancers, 1 intern, and myself), I was in charge of the entire company's IS, which includes 120 employees, 8 business units, spread across 4 national branches.
My expertise:
- *Data Engineer*: Implementation of a data platform and a modern data platform, data ingestion, data pipeline orchestration, data platform maintenance (scalability, cost management)
- *Analytics Engineer*: Data modeling (medallion principle), data model documentation
- *Data Analyst*: Implementation of dashboards/KPIs, BI tool administration
- *Data Steward*: Support for teams in managing their activities and monitoring indicators
- *Data Product Engineer*: Implementation of data products (e.g., automated actual billing, workflow automation)
- *IT*: Re-internalization of IT asset management, formalization and application of new IT processes, management of an IT team (2 employees), centralization of company activities in the Google Workspace environment (GCPW, MDM, etc.)
- *IoT*: Python development on Raspberry Pi
My technology stacks:
- Cloud: AWS (RDS, Redshift, EBS, EC2), GCP (Dataform, Big Query), OVH
- Data Engineer: Python (API, ETL), Stitch Talend, Data Warehouse (Redshift, Big Query), Better Stack, GitHub CI/CD, Airtable, Docker
- Analytics Engineer: dbt (cloud & core), Advanced SQL
- Data Analyst: Metabase, Looker Studio, Google Sheet (App Script), Excel
- Other tools: Sellsy (CRM), Pennylane
- IT: Google Workspace console, Meraki
- IoT: Balena Etcher, Putty, Vendon (Telemetry)
A diverse and in-depth experience that supports my desire to contribute to a company's strategy, beyond my data expertise.
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Education
- Master of AI and Big Data - Data Science SpecializationESGI2022(Unsupervised) Deep Learning, (Deep) Reinforcement Learning, IA et support robotique, NLP, Développement R (optimisation et ACP) & Scala , Cryptographie, Cloud et Big Data, DevOps & Sécurité du Big Data, Reporting et restitution , Méthode Agile : Scrum & Gestion de projet SI, Droits de l'informatique, Sciences de l’ingénieur (Machine Learning, Deep Learning, maths for Data, recherche opérationnelle), Développement (Python avancé, Java avancé, C avancé, algorithmique avancé), Bases de données et Big Data (BDD relationnelles, Hadoop, NoSQL, SQL avancé), Systèmes et réseaux (Linux administration avancé, préparation certification Cisco CCNA1)
Certifications
- TOEICETS EMEA2021