
Marc-Antoine KALMUK
Data Engineer & Data Analyst @ Forvis Mazars | Applied Mathematics (Data & Al) | Palantir Certified
Salaire / Taux journalier
95320 Saint-Leu-la-Forêt, France
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
As a Data Engineer & Analyst at Clariane Group, I design, industrialize, and document end-to-end data pipelines supporting analytical use cases across seven European countries in domains such as Energy, HR, and Quality. My work combines data engineering, automation, and governance within Palantir Foundry and Microsoft Azure Synapse. I also migrated Azure Data Factory workflows into Synapse and Foundry to achieve full automation, stronger traceability, and centralized governance, optimizing integration with the Master Data Management (MDM) system to ensure accurate establishment matching and reduce manual reconciliation errors across countries. My responsibilities include data lineage management, technical documentation, and cross-domain coordination with Palantir consultants, data engineers, and business stakeholders, ensuring every dataset is auditable, standardized, and actionable for transparent and reliable analytics.
Expérience de travail
Forvis Mazars Group
janv. 2026 - Présent
10 mois
Paris, France
Analyste de données
janv. 2026 - Présent
10 mois
Paris, France
Analyste de données
janv. 2026 - Présent
10 mois
Paris, France
Data engineer
Clariane
sept. 2022 - sept. 2025
3 ans 1 mois
Paris, France
– As a Data Engineer & Analyst at Clariane Group, I design, industrialize, and document end-to-end data pipelines supporting analytical use cases across seven European countries in domains such as Energy, HR, and Quality. My work combines data engineering, automation, and governance within Palantir Foundry and Microsoft Azure Synapse. – I develop scalable ingestion pipelines in Foundry Code Workbook, Contour, and Ontology, integrating heterogeneous sources (APIs, SQL, Excel) and applying the Medallion architecture (Bronze / Silver / Gold) to structure the analytical Risk model. Each transformation is versioned, monitored, and documented with automated data quality checks and CI/CD deployment through GitHub Foundry. – I led the Energy project, consolidating consumption data from over 1,000 facilities and integrating external MeteoMatics APIs to compute degree-day indicators for climate-adjusted analysis. The resulting datasets feed predictive models for CO2 emissions and are visualized through Foundry Workshop and Power BI dashboards used by the Energy and Real Estate teams. – I also migrated Azure Data Factory workflows into Synapse and Foundry to achieve full automation, stronger traceability, and centralized governance. I optimized the integration with the Master Data Management (MDM) system to ensure accurate establishment matching and reduce manual reconciliation errors across countries. – My responsibilities include data lineage management, technical documentation, and cross-domain coordination with Palantir consultants, data engineers, and business stakeholders (risk, HR, compliance, energy). I ensure every dataset is auditable, standardized, and actionable, enabling transparent and reliable analytics across the group.
Formation
CY Tech
Ingenieur, Mathématiques appliquées
2020 - 2025
5 ans
UCLA
Managment, businessplan and cybersecurity
2024 - 2024
4 mois
Licences et certifications
Certified Palantir Foundry Data Engineer Professional
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