Buenos Aires, Argentina

Matias
Bertuzzi.

Lead Data Engineer · Pre-Sales Solutions Architect · Azure Certified · Databricks Professional

Azure Databricks Apache Spark Python SQL Microsoft Foundry
View Experience Get in Touch
About me

I'm a Lead Data Engineer and Pre-Sales Solutions Architect based in Buenos Aires, with 4+ years building cloud data platforms for enterprise clients — primarily in the oil & gas and energy sectors.

My work sits at the intersection of engineering and architecture: designing ELT pipelines, data lakehouses, and integration layers on Azure and Databricks. I've led migrations from on-premise environments to modern cloud-native stacks, and I'm currently driving an automated documentation platform at Raízen — tying together ADF, Databricks, and AI-generated technical docs published into DevOps Wiki.

Alongside the technical work, I take on pre-sales architecture roles — translating complex data problems into solutions that make sense for both engineers and business stakeholders.

4+
Years in Cloud Data
8×
Azure Certified
2
Enterprise Clients
Pro
Databricks Certified
Microsoft · Databricks · AWS

Certifications

Active Microsoft Azure certifications plus Databricks Professional — covering everything from fundamentals to expert-level architecture and engineering.

Databricks Certified Data Engineer Professional
Databricks · Highest Level Practitioner Credential
Azure Administrator Associate
Microsoft · AZ-104
Power BI Data Analyst Associate
Microsoft · PL-300
Azure Developer Associate
Microsoft · AZ-204
Azure Data Fundamentals
Microsoft · DP-900
Azure Fundamentals
Microsoft · AZ-900
Solutions Architect Expert
Microsoft · AZ-305
DevOps Engineer Expert
Microsoft · AZ-400
Data Engineer Associate
Microsoft · DP-203
AWS Cloud Practitioner
Amazon Web Services · CLF-C02
Career

Data Engineering
Experience

Mar 2026 — Present Pi Data Strategy & Consulting
Lead Data Engineer / SME
Client: Raízen Argentina
  • Design and implementation of an automated documentation MVP using Azure Data Factory and Azure Databricks within an existing data platform.
  • Metadata correlation logic in Databricks to group pipelines and notebooks into process-level workflows.
  • Integration with Azure AI Foundry for automated generation of technical documentation via API calls.
  • Publication of process-oriented documentation into Azure DevOps Wiki.
  • Data-driven architecture leveraging existing Azure services with scalability and future RAG/AI integration in mind.
Sep 2024 — Mar 2026 Pi Data Strategy & Consulting
Azure Data Engineer
Client: Raízen Argentina
  • Design, development, and maintenance of ELT/ETL processes using Apache Spark on Databricks.
  • Architecture and implementation of data warehousing solutions on Azure Synapse (SQL Data Warehouse).
  • Development and deployment of RESTful APIs using Flask for seamless data integration.
  • Containerization of applications using Docker to ensure scalability and reliability.
  • Code version management and team collaboration via Git and Azure DevOps.
Nov 2022 — Sep 2024 NTT DATA Europe & Latam
Data Engineer
Client: Pan American Energy
  • Design and implementation of data pipelines using Azure Data Factory for task orchestration and workflow automation.
  • Processing and upload of seismic files to Azure Cloud Storage.
  • Development of Azure Functions using C# and Python for inventory management tasks on Azure SQL Database.
  • Log Analytics integration to store and monitor application logs for troubleshooting and optimization.
  • Git integration and version control using Bitbucket.
Technical stack

Skills & Tools

Cloud Platform
Microsoft Azure Azure Synapse Azure Data Factory Azure Functions Azure DevOps Microsoft Foundry
Big Data & Processing
Databricks Apache Spark ELT / ETL Data Lakehouse Delta Lake
Languages
Python SQL C# PySpark Bash
Architecture & DevOps
Solution Architecture Docker REST APIs Flask Git Bitbucket
AI & Analytics
Artificial Intelligence RAG Pipelines Power BI Log Analytics
Soft Skills
Pre-Sales Architecture Technical Leadership SME English — Professional
Let's connect

Get in Touch

Open to new opportunities, pre-sales collaborations, and interesting data architecture challenges.

[email protected] linkedin.com/in/matiasdb +54 11 2391 3513 github.com/matiasdb2