Nam Mai TRAN

Business Intelligence & Data Engineer

Salaire / Taux journalier

Saint-Germain-en-Laye, France

Freelance

Peut venir sur site

Expertises

Data EngineeringData VizualizationGoogle Cloud PlatformdbtData AnalysisNumPypandasTensorFlowETLscikit-learnKerasJavaAzureMongoDBRPythonGoogle BigQueryMicrosoft SQL ServerAmazon RedshiftLinuxGitSnowflakeLookerDockerJiraGitHubPostgreSQLGitLabTableauPower BITerraformMySQLConfluenceOracle Database

Langues

Anglais (Maternelle)Vietnamien (Maternelle)Français (Courant)

À propos

Introduction

BI & Data Engineer with over 5 years expertise in GCP-native solutions and enterprise analytics. Deployed 10+ analytical applications serving 600+ users, specializing in ELT pipelines, dbt governance, and advanced BI modeling. Ready to transform your data into actionable insights with proven cloud migration and predictive modeling skills.

Liens

Expérience de travail

Micropole

janv. 2020 - sept. 2026

6 ans 9 mois

Paris, France

BI & Data Engineer - Moët Hennessy

août 2021 - sept. 2026

5 ans 2 mois

Paris, France

Data Engineering: - Developed and maintained new dbt models transforming data from datalake into datawarehouse and datamart, with unit and custom tests to ensure data quality - Refactorized existing dbt models through partitioning, clustering, and incremental load to cut processing costs and monitored dbt pipelines using Elementary - Coordinated with SAP, Salesforce, Anaplan stakeholders to develop data products in BigQuery to support new sales & finance analytics use case - Developed DAGs to orchestrate data ingestion, and transformation workflows via Composer/Airflow - Migrated 100% of the datawarehouse and datamart in Oracle On-Premise to Google Cloud Platform, respecting datamesh architecture - Automated BI refresh workflows by integrating Qlik & Power BI dashboard reloads into Airflow pipelines via custom Airflow operators - Provisioned the infrastructure resources in Google Cloud Platform using Terraform - Developed CI/CD pipelines for Power BI, enabling Git-based versioning and automated deployment of semantic models across multi-environment workspaces - Leverage AI-assisted development tools (Claude Code, Gemini) to generate and optimize dbt models, troubleshoot pipeline issues, automate repetitive coding tasks, and accelerate technical documentation Business Intelligence: - Designed scalable dimensional data models (star schema) to enable self-service analytics - Owned KPI logic and business definitions, aligning stakeholders on metric definitions to ensure consistency across reporting layers and use cases - Developed and delivered 12 Sales and Finance dataviz applications (Qlik & Power BI) enabling self-service analytics for 500+ frequent users across 33 markets - Defined and applied dataviz standards across UI/UX, semantic layer consistency, and dashboard design best practices - Resolved critical incident / escalation across B2B Business Intelligence platforms (Support Level 2 & 3) Technical Leadership: - Led technical initiatives within BI team by providing guidance on best practices, code review, managing backlog and cross-functional collaboration - Mentored junior engineers and analyst in the team, assumed ownership of project deliveries, acted as the technical referent for B2B Sales stakeholders

BI Engineer - Multiple clients: TF1, Sephora, C40 Cities

janv. 2020 - juil. 2021

1 an 7 mois

Paris, France

• Gathered requirements, define KPIs, and translate business questions into prototypes • Developed dashboards in Qlik Sense, Power BI, and Looker, implementing optimized star and snowflake data models • Created complex DAX and Set Analysis expressions, and implemented row/column-level security to ensure role-specific insights • Developed ETL workflows using Alteryx to integrate multi-source datasets from SAP, Salesforce, and SFTP, creating a centralized Gold data layer for analytics

Data Analyst

SOCOTEC

sept. 2018 - août 2019

1 an

Paris, France

• Developed 8 Power BI dashboards across 5 markets, enhancing visibility into B2B purchasing, bidding, and staff operation KPIs • Built automated ETL pipelines in Transact-SQL (stored procedures, scheduling, error handling) to feed reporting dashboards • Performed ad-hoc data analysis using Python (NumPy, pandas, etc.) to provide insight into supplier performance, procurement efficiency and staff allocation • Supported user training and change management initiatives alongside the Digitalization Program Manager, achieving 60% adoption of sales tracking use

Business Data Analyst

Structured Business Group

janv. 2016 - août 2017

1 an 8 mois

Hô Chi Minh-Ville, Hô Chi Minh, Vietnam

• Developed and validated SQL datasets in Oracle, and designed interactive Power BI dashboards • Streamlined 20+ month-end sales and finance reports, reducing financial closing time by 40% through optimized SQL queries and automated Python workflows • Collected, cleaned, and analyzed historical retail and financial data to model demand patterns and simulate “what-if” scenarios, improving forecasting accuracy • Implemented self-service reporting for sales and finance over 12 months, significantly reducing ad-hoc report requests


Formation

Toulouse School of Economics

Master's degree, Statistics

2017 - 2019

3 ans

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