Rodrigo Carvalho
@rodrigofmcarvalho
Data Engineer | Databricks | Spark | SQL | Python | Microsoft Azure | Marketing | CDP | Braze | Martech | CRM | Customer Data Platform
What I'm looking for
I’m a data engineer with 5 years of experience focused on building scalable and reliable data solutions. I’m particularly interested in working with technologies like Spark, AWS, and Azure to design and optimize data pipelines that handle large volumes of data efficiently.
Throughout my career, I’ve worked with companies from different industries around the world, developing and maintaining robust data pipelines to support analytics, reporting, and business decision-making.
Recently, I’ve also developed a strong interest in working with AI and intelligent agents, exploring how data engineering can power smarter systems and more autonomous decision-making. I enjoy solving complex data challenges, improving data quality and performance, and continuously learning new tools and best practices in the data space.
Experience
Work history, roles, and key accomplishments
Data Engineer
Estée Lauder Companies
Oct 2023 - Present (2 years 4 months)
• Design and support the development of a Customer Data Platform (CDP) for omnichannel marketing use cases.
• Architect and maintain scalable cloud data architectures on Microsoft Azure using ADLS Gen2, Azure Databricks (Apache Spark), Azure Synapse Analytics, Analysis Services, HDInsight (Kafka), and MySQL.
Business Intelligence Specialist
Inter
May 2022 - Jul 2022 (2 months)
• Design, build, and operate large-scale ETL/ELT systems for consumer data and financial products.
• Architect and maintain scalable AWS data pipelines using S3, Apache Spark (EMR), Glue, Athena, and Redshift.
• Build and optimize ETL/ELT workflows using AWS Glue and Amazon Redshift.
• Ensure data quality and reliability through continuous monitoring and pipeline optimization.
• Analyze and manage data from an R&D project database, ensuring availability and consistency.
• Collect, process, and transform data using SQL and Microsoft Excel to support analytical and reporting workflows.
• Define, compute, and validate business logic and KPI calculations, including Net Present Value (NPV), Success Rate, and Time to Market (TTM).
• Analyze data from a portfolio of outsourcing projects stored in a centralized database, ensuring accuracy and consistency.
• Collect, process, and explore datasets using Microsoft Excel to support structured analysis and reporting.
• Generate data-driven insights to support management decision-making and improve business performance.
• Conduct root cause analysis on analytical issues.
• Support the transition of client technology operations, coordinating stakeholders and ensuring continuity during handover processes.
• Validate project scope, timelines, milestones, and transition plans, ensuring alignment with technical and contractual requirements.
• Track project budgets, report actual costs, forecast expenses, and support financial governance.
• Develop and deploy industrial automation and Industry 4.0 solutions involving PLC, HMI, and SCADA systems across operational and production environments.
• Translate functional specifications and operational requirements into automation architectures and implementation plans, including IT/OT integration scenarios.
Education
Degrees, certifications, and relevant coursework
Federal University of Minas Gerais
Postgraduate Diploma, Business Strategic Management
2015 - 2017
Postgraduate Diploma in Business Strategic Management focusing on strategic business concepts and management practices completed between August 2015 and November 2017.
Pontifical Catholic University of Minas Gerais
Bachelor of Engineering, Automation and Control Engineering
2009 - 2013
Bachelor of Engineering in Automation and Control Engineering completed from February 2009 to December 2013, with coursework and projects in industrial automation and control systems.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Talend
Microsoft Azure
Amazon S3
Kubernetes
PySpark
OneTrust
dbt
MySQL
PostgreSQL
Microsoft SQL Server
Hadoop
Gmail
Braze
.NET
Databricks
Terraform
Python
Kafka
Linux
Azure Database for PostgreSQL
Microsoft Excel
Azure SQL Database
Kafka Streams
Docker
Airflow
Root Cause
Amazon Web Services (AWS)
Microsoft Power BI
SQL
Azure Blob Storage
Transform
Fivetran (CDP - Customer Data Platform variant)
Factory
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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