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Thursday May 28, 2026 16:15 - 16:45 CEST
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Designing a data architecture that can handle the **massive volume of a retail operation** requires more than just good tools; it requires **hardcore engineering rigor**.

At **Obramax**, we completely redesigned our data infrastructure, moving away from **isolated legacy databases** to a **unified, event-driven model** hosted on the **ADEO Group's DFDP platform**.

This session dives deep into the **engine room of our new Data Analytics platform**.

We will demonstrate our **aggressive automation approach** to building a **Medallion Architecture**.

You will see how we use **Apache Kafka** to capture **high-volume events** *(from SAP, VTEX, etc.)* and land them in our **Bronze layer**.

From there, we will showcase our strict **GitOps workflow using Terraform and dbt (Data Build Tool)** to automatically refine data into the **Silver layer**, and finally aggregate it into **business-ready Gold layer datasets**.

> Come see how we **automated the entire lifecycle of a Kafka event**
> from **system integration** to **BigQuery dashboard**
> with **zero-touch provisioning and maximum scalability**.

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# 🎯 Key Takeaways

Participants will learn:

### βš™οΈ Event Streaming Data Platform

A deep dive into building a **Medallion Architecture (Bronze, Silver, Gold)** using **event streams on Google BigQuery**.

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### 🧱 Engineering Data Pipelines at Scale

How to combine:

- **Apache Kafka**
- **dbt (Data Build Tool)**
- **Terraform**

to build **bulletproof, scalable data pipelines** on the **ADEO DFDP platform**.

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### πŸ”„ GitOps Data Infrastructure

Practical **GitOps strategies** for achieving:

- **zero-touch data infrastructure provisioning**
- reproducible data pipelines
- automated platform governance

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# πŸ— Architecture Themes Covered

- Event-Driven Architecture
- Apache Kafka
- dbt (Data Build Tool)
- Terraform
- GitOps for Data Platforms
- Google BigQuery
- Data Lakehouse Pipelines

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# πŸ‘¨β€πŸ’» Target Audience

This talk is ideal for:

- Data Engineers
- Platform Engineers
- Integration Engineers
- Data Infrastructure Teams
- DevOps / Platform Engineering Teams

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# 🧭 Why This Talk Matters

Modern data platforms require **engineering discipline at scale**.

Retail environments generate **massive volumes of operational events**, and traditional batch pipelines cannot keep up with the **speed and reliability required for real-time analytics**.

By combining **event streaming, infrastructure-as-code, and GitOps practices**, Obramax built a **fully automated data platform** capable of transforming raw operational events into **business-ready analytical datasets**.

This session shares the **engineering patterns and automation strategies** that make this architecture scalable and maintainable.

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# 🏒 Case Study

**Company:** Obramax

**Architecture Stack:**

- Apache Kafka
- ADEO DFDP Platform
- Google BigQuery
- dbt (Data Build Tool)
- Terraform
- GitOps Workflows
- Event-Driven Data Pipelines
Speakers
avatar for Samuel Xavier Da Silva

Samuel Xavier Da Silva

Architect, Obramax Brazil
# πŸ‘¨β€πŸ’» Samuel Xavier

Samuel Xavier is a **System Integration and Data Engineering Leader at Obramax**, part of the **ADEO Group**, where he leads initiatives focused on **event-driven architectures, large-scale data integration, and modern data platforms** in the retail e... Read More →
Thursday May 28, 2026 16:15 - 16:45 CEST
πŸ€– DATA/AI ARENA 135 Rue Sadi Carnot, Ronchin, France

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