Data Workflows
ETL/ELT routines, data preparation, query optimization, and operational reporting foundations.
Data & Backend Engineering
Rafael Borges
Data & Backend Engineer building reliable pipelines, integrations, and automation systems with SQL, Node.js, and AI-assisted workflows.
Backend, data workflows, and integration systems.
I work close to data-heavy operations: mapping business rules, connecting systems, improving SQL routines, and turning repetitive financial, accounting, and operational processes into dependable backend workflows.
Backend APIs
Node.js services, REST integrations, automation endpoints, and practical system interfaces.
AI-Assisted Automation
Process automation, internal tooling, and emerging agent-based workflows for data and operations.
Practical work across SQL, ETL, APIs, and enterprise integrations.
A timeline of hands-on work with databases, ERP contexts, backend routines, and automation. The focus is execution: making data move, systems talk, and processes become easier to operate.
2023 - Present
Leverpro
Data & Backend Engineer
- Data pipelines, ETL/ELT workflows, and backend integrations.
- REST APIs and automation routines using Node.js, JavaScript, and SQL.
- SQL Server, MySQL, Oracle, and ERP integrations across systems such as SAP, Protheus, MV, Omie, and Tasy.
2022 - 2023
Leverpro
Data Analyst
- Accounting and financial SQL queries for audits, reconciliation, dashboards, and decision support.
- Raw data extraction, auditing, and ERP schema mapping across SAP, Protheus, MV, Omie, Tasy, and related systems.
Jul - Sep 2022
I4PRO
Junior SQL Developer
- High-volume SQL Server batch workloads for insurance processes.
- Stored procedures and performance improvements for policy generation.
2021 - 2022
Leverpro
Junior Data Analyst / Data Engineering Intern
- Automated SQL routines, BI data preparation, and bottleneck analysis.
- Database table structuring and repetitive script optimization.
2020 - 2021
MaxCast
Technical Support & Systems Intern
- Technical troubleshooting, system configuration, and infrastructure support.
Field notes on data systems, backend decisions, and automation.
Short technical writing about the systems I build and the decisions behind them: SQL tradeoffs, integration patterns, automation ideas, and AI-assisted engineering experiments.
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