Mateus Rodrigues da Silveira Morais Senior Data & AI Engineer, Data

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Senior Data & AI Engineer

Independent Consulting (Remote)

Jun 2025 - Jun 2026 (1 year 1 month)

Running multiple concurrent independent-consulting projects as sole end-to-end technical owner, with no supporting team:

Project 1 — Data Migration & Architecture (OCI/Azure Synapse → Microsoft Fabric)

Proposed and led the migration to a Medallion Architecture (Landing Zone, Bronze/Silver Lakehouses with Delta Lake, Gold Warehouse), with a curated Data Warehouse ready for analytical consumption.

Owned the full data-architecture stack (conceptual, logical, physical modeling), including dimensional modeling, data cataloging and audit/control tables for data lineage of migrated assets.

Consolidated legacy assets and translated QlikView/Qlik Sense metrics into Power BI Semantic Models and DAX, applyin

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Senior Data Engineer

NAVA - Technology for Business

Sep 2024 - May 2025 (9 months)

Worked on a strategic customer-loyalty project for a large consumer-facing platform, building efficient, secure and scalable data pipelines to ingest, transform and analyze behavioral and transactional data at scale.

Managed processing pipelines using Maestro CLI, with orchestration and automated execution via Jenkins, guaranteeing integrity and punctuality of processes in a production environment with multiple source systems.

Ran distributed processing in Azure Databricks to handle large data volumes with high performance; actively promoted versioning best practices, CI/CD pipelines and data-governance standards, contributing directly to the evolution of the project's analytical architecture.

Senior Data Engineer

Avanade

Apr 2021 - May 2023 (2 years 2 months)

Led the end-to-end lifecycle of data engineering projects for enterprise clients — from refining client requirements to overseeing production deployment — using Azure DevOps for backlog and sprint tracking under Scrum and Kanban.

Designed, validated and automated batch and streaming ingestion and processing pipelines using Azure Data Factory, Azure Databricks (PySpark/Apache Spark) and AKS (Azure Kubernetes Service), handling large-scale enterprise data workloads.

Provisioned and managed core Azure infrastructure — virtual machines, storage accounts, resource groups and CosmosDB/Blob Storage — ensuring a robust, cost-efficient and secure cloud foundation for data platforms.

Built containerized data wor

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Senior Data Engineer

R Brasil Soluções

Nov 2020 - Mar 2021 (5 months)

Specialized in managing structured and unstructured databases for financial-services clients, designing and implementing data-capture models to improve credit-recovery decision processes.

Built scalable cloud data workflows using Azure Data Factory, Azure Databricks, AKS and CosmosDB, directly supporting strategic and financial decision-making; applied statistical techniques to analyze customer behavior and financial performance, feeding logistic-regression models used to optimize customer-engagement and telephony cost strategies.

Led automated data extraction, processing and cleansing pipelines using PySpark, Python, Talend and Kedro, handling both batch and streaming data via Kubernetes for containerized execution; m

Business Intelligence Specialist

Mutant, TIMWETECH, Ebix Latin America, ZANC ASSESSORIA NACIONAL DE COBRANÇA

Jun 2016 - Aug 2024 (8 years 3 months)

Gathered technical requirements, coordinated with partner areas, and delivered Data & Analytics (D&A) projects for global clients and internal departments such as marketing and operations, in a multi-country BI ecosystem.

Developed and enhanced ETL processes on Oracle (PL/SQL) and PostgreSQL databases, ensuring data efficiency, integrity and performance across BI workloads; worked with Microsoft Power BI (DAX) and SSIS to gather, define and implement BI requirements end-to-end.

Monitored and improved tabular data models in Microsoft SQL Server Analysis Services (SSAS), and extracted/reported data through SQL queries and SQL Server Reporting Services (SSRS), maintaining and building new .rdl analytical reports in Visual

Mateus Rodrigues da Silveira Morais

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Mateus Rodrigues da Silveira Morais

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