Amin Bakhti

Analytics Engineer / Data Engineer freelance, I design and deploy modern end-to-end data platforms to transform data into clear and reliable decision-making tools.

I address concrete issues:

- Data scattered across Shopify, CRM, ERP, Excel, and other sources

- Lack of consolidated KPIs or unreliable dashboards

- Fragile and difficult-to-maintain pipelines

- Manual data tasks to be industrialized

I build complete solutions:

- Lakehouse / data warehouse architecture (Microsoft Fabric, Azure)

- Modern ELT pipelines with dbt (Kimball modeling, tests, CI/CD)

- Data ingestion (REST APIs, native connectors)

- Relational modeling (PostgreSQL, Supabase, SQL Server)

- Workflow automation (n8n, Python)

- Power BI dashboards (Direct Lake, advanced DAX)

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PORTFOLIO — AmeOS

I designed and developed AmeOS, a complete data platform for my own DTC e-commerce brand, Ame Sportswear: Medallion architecture on Microsoft Fabric, Shopify ingestion, dbt Kimball modeling, 7 Power BI dashboards (sales, margins, customer behavior, inventory).

→ Public repo: github.com/aminbkt-dev/ameos-v2

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TYPES OF MISSIONS

- Setting up a modern data stack (Fabric, dbt, Power BI)

- Industrializing ELT pipelines

- Dimensional modeling (Kimball, star schema)

- Audit and validation of existing dashboards

- Automating data flows via n8n / Python

- Consulting on data governance and quality

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BACKGROUND

4 years of experience: 2 years at VINCI (MDM Semarchy xDM, Power BI, governance for 200K+ employees) and freelance since October 2024.

Objective: transform complex data into industrialized platforms aligned with business steering.