
Luciano Muniz developed foundational data pipelines and robust data models for the prefeitura-rio/queries-rj-sms and prefeitura-rio/queries-rj-iplanrio repositories, focusing on municipal health and financial analytics. He engineered ETL workflows and schema management using SQL, dbt, and Prefect, enabling scalable ingestion and transformation of large datasets such as PCSM prescriptions and Municipal Active Debt records. Luciano standardized data naming, improved metadata, and refactored models to simplify structures and enhance governance. His work emphasized data quality, compliance, and maintainability, delivering reliable analytics platforms that support complex reporting requirements and future data integration, all completed with attention to architectural alignment and documentation.

2025-10 monthly summary: Delivered core data platform improvements across two repos to strengthen financial analytics for municipal debt. Focused on DAM data model overhaul with ETL enhancements, dbt_utils upgrade, and scalable large-table data pipelines. Result: higher data quality, governance, and readiness for scalable reporting.
2025-10 monthly summary: Delivered core data platform improvements across two repos to strengthen financial analytics for municipal debt. Focused on DAM data model overhaul with ETL enhancements, dbt_utils upgrade, and scalable large-table data pipelines. Result: higher data quality, governance, and readiness for scalable reporting.
September 2025 focused on establishing a robust data foundation for the Municipal Active Debt (DAM) domain in prefeitura-rio/queries-rj-iplanrio. Delivered foundational data models covering active debt records, person entities, CDA (Certidões de Dívida Ativa), payment guides and quotas, and associations with properties and related financial data. Performed a targeted data model refactor to simplify the structure by removing an optional linkage and consolidating related representations, preparing the DAM module for data loading and analysis. The work sets the stage for downstream analytics, reporting, and integration with existing systems. No customer-reported defects; all work completed with quality and in alignment with architectural guidelines.
September 2025 focused on establishing a robust data foundation for the Municipal Active Debt (DAM) domain in prefeitura-rio/queries-rj-iplanrio. Delivered foundational data models covering active debt records, person entities, CDA (Certidões de Dívida Ativa), payment guides and quotas, and associations with properties and related financial data. Performed a targeted data model refactor to simplify the structure by removing an optional linkage and consolidating related representations, preparing the DAM module for data loading and analysis. The work sets the stage for downstream analytics, reporting, and integration with existing systems. No customer-reported defects; all work completed with quality and in alignment with architectural guidelines.
August 2025 monthly summary highlighting delivery across two repositories with a strong emphasis on data standardization, data modeling, and ingestion improvements that enable robust analytics and governance.
August 2025 monthly summary highlighting delivery across two repositories with a strong emphasis on data standardization, data modeling, and ingestion improvements that enable robust analytics and governance.
July 2025 monthly summary for Prefeitura Rio project prefeitura-rio/queries-rj-sms: PCSM Data Ingestion and Modeling Enhancements. Delivered foundational PCSM data pipeline improvements and a new Prescription dataset to consolidate data, enabling richer analytics for mental-health services in Rio de Janeiro.
July 2025 monthly summary for Prefeitura Rio project prefeitura-rio/queries-rj-sms: PCSM Data Ingestion and Modeling Enhancements. Delivered foundational PCSM data pipeline improvements and a new Prescription dataset to consolidate data, enabling richer analytics for mental-health services in Rio de Janeiro.
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