prefeitura-rio/pipelines_rj_smtr
Aug 2025 – Feb 2026
7 Months active
Languages Used
MarkdownPythonSQLYAML
Technical Skills
CI/CDChangelog ManagementCloud InfrastructureDBTData EngineeringData Modeling
Adriano Neto
PROFILE
Adriano Neto
Adriano Neto developed and maintained data engineering solutions for the prefeitura-rio/pipelines_rj_smtr repository over seven months, focusing on improving data pipeline reliability, maintainability, and business value. He built and refined data models for billing, transactions, and transportation datasets, leveraging Python, SQL, and DBT to enhance data quality, validation, and processing efficiency. Adriano introduced partition-based filtering, incremental models, and robust changelog management, while restructuring DBT projects and updating documentation to support clear data lineage and onboarding. His work addressed both feature delivery and bug fixes, demonstrating depth in backend development, schema management, and DevOps practices for scalable, auditable pipelines.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
55Total
Bugs
10
Commits
55
Features
24
Lines of code
3,117
Activity Months7
Your Network
5 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) — prefeitura-rio/pipelines_rj_smtr: Key feature delivery focused on simplifying the PASSAGEIRO_HORA_MATERIALIZACAO flow by removing scheduling, with documentation and changelog updates; no major bugs fixed recorded for this repository in the period; overall impact includes reduced complexity and improved maintainability across the pipeline.
1 Commits • 1 Features
Feb 1, 2026February 2026 (2026-02) — prefeitura-rio/pipelines_rj_smtr: Key feature delivery focused on simplifying the PASSAGEIRO_HORA_MATERIALIZACAO flow by removing scheduling, with documentation and changelog updates; no major bugs fixed recorded for this repository in the period; overall impact includes reduced complexity and improved maintainability across the pipeline.
February 2026
January 2026
2 Commits • 1 Features
Jan 1, 20262026-01 Monthly Summary — Prefeitura Rio pipelines: Delivered data processing reliability and performance improvements in prefeitura-rio/pipelines_rj_smtr. Implemented a mandatory partition filter for large-volume tables to boost processing efficiency and accuracy, and extended job execution timeouts across environments to accommodate longer-running ETL jobs. Updated changelogs and monitoring references across targets to improve traceability and observability.
January 2026
2 Commits • 1 Features
Jan 1, 20262026-01 Monthly Summary — Prefeitura Rio pipelines: Delivered data processing reliability and performance improvements in prefeitura-rio/pipelines_rj_smtr. Implemented a mandatory partition filter for large-volume tables to boost processing efficiency and accuracy, and extended job execution timeouts across environments to accommodate longer-running ETL jobs. Updated changelogs and monitoring references across targets to improve traceability and observability.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr focused on delivering clarity in data field documentation and correcting versioning constants, with strong emphasis on business value, maintainability, and code quality.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr focused on delivering clarity in data field documentation and correcting versioning constants, with strong emphasis on business value, maintainability, and code quality.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance summary for Prefeitura Rio pipelines_rj_smtr. Delivered foundational improvements to the Transportation Data Platform by restructuring the DBT project, introducing new data models for transportation datasets, and enhancing documentation. Implemented backup for deprecated views, reorganized the DBT project structure, added the brt_transportes dataset and related models, and applied quality and formatting enhancements to ensure maintainability and scalability. These changes establish a robust, auditable pipeline foundation for ongoing transportation data initiatives and improve readiness for future feature work.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 performance summary for Prefeitura Rio pipelines_rj_smtr. Delivered foundational improvements to the Transportation Data Platform by restructuring the DBT project, introducing new data models for transportation datasets, and enhancing documentation. Implemented backup for deprecated views, reorganized the DBT project structure, added the brt_transportes dataset and related models, and applied quality and formatting enhancements to ensure maintainability and scalability. These changes establish a robust, auditable pipeline foundation for ongoing transportation data initiatives and improve readiness for future feature work.
October 2025
5 Commits • 4 Features
Oct 1, 2025October 2025 (2025-10) focused on strengthening data quality, cataloging, and processing efficiency in prefeitura-rio/pipelines_rj_smtr. Key features delivered include a new Billing Data Model for customer card statements with an enhanced transaction model and materialization flow, and a dictionary model for the tipo_viagem column adopted across multiple pipelines to improve data descriptiveness and cataloging. A data validation enhancement for BRT ESP improved fare-based categorization and updated staging SQL and changelogs. Maintenance work disabled the scheduled alerta_transacao pipeline to stabilize processing during maintenance windows. Additionally, an incremental model for the Student Municipal Gratuity transaction view was introduced to enable partition-based filtering and faster data processing. Overall, these changes reduce manual data corrections, accelerate analytics, and improve data governance across dashboards and models.
5 Commits • 4 Features
Oct 1, 2025October 2025 (2025-10) focused on strengthening data quality, cataloging, and processing efficiency in prefeitura-rio/pipelines_rj_smtr. Key features delivered include a new Billing Data Model for customer card statements with an enhanced transaction model and materialization flow, and a dictionary model for the tipo_viagem column adopted across multiple pipelines to improve data descriptiveness and cataloging. A data validation enhancement for BRT ESP improved fare-based categorization and updated staging SQL and changelogs. Maintenance work disabled the scheduled alerta_transacao pipeline to stabilize processing during maintenance windows. Additionally, an incremental model for the Student Municipal Gratuity transaction view was introduced to enable partition-based filtering and faster data processing. Overall, these changes reduce manual data corrections, accelerate analytics, and improve data governance across dashboards and models.
October 2025
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 Monthly Summary — Prefeitura Rio pipelines_rj_smtr Consolidated features and bug fixes delivered to improve billing data integrity, subsidy processing reliability, and data processing capabilities. Focused on increasing data accuracy, validation reliability, and model/view integration to support better analytics and business decisions.
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 Monthly Summary — Prefeitura Rio pipelines_rj_smtr Consolidated features and bug fixes delivered to improve billing data integrity, subsidy processing reliability, and data processing capabilities. Focused on increasing data accuracy, validation reliability, and model/view integration to support better analytics and business decisions.
August 2025
41 Commits • 14 Features
Aug 1, 20252025-08 monthly summary: Delivered key data-model and pipeline improvements in prefeitura-rio/pipelines_rj_smtr, enhancing transaction visibility, billing reliability, and maintainability. Key outcomes include: Transacao CCT view/model created with schema and documentation updates; added total transaction value field and adjustment for tipo_transacao_jae; Billing flow improvements with expanded test coverage and date-overlap handling; comprehensive changelog and flow governance (flow/selector registrations and related docs); Webhooks/schedules refinements, SQL formatting improvements, and memory increase for the capture flow. Representative commits include 38ef345035b9fc7a83ef6c85523515594df420b0 (adiciona valor total transacao), a1c272f0b27943fcc8b783d6d28dafd6964997b1 (adiciona ajuste no tipo_transacao_jae), a404bd157d7534864d95e8029accfb5ffd50c5b8 (Cria modelo de view transacao_cct), f3f343dbe35ed96eb5cfdfd7ba15b946a7cd23fa (Adiciona schema do modelo transacao_cct), 34a893e0edd91f4e8ff517f092c118437492514a (add changelog), 876f0a32dc7f6c42ebb9e75bc70a32cf92f799e2 (Aumenta memoria do flow de captura).
41 Commits • 14 Features
Aug 1, 20252025-08 monthly summary: Delivered key data-model and pipeline improvements in prefeitura-rio/pipelines_rj_smtr, enhancing transaction visibility, billing reliability, and maintainability. Key outcomes include: Transacao CCT view/model created with schema and documentation updates; added total transaction value field and adjustment for tipo_transacao_jae; Billing flow improvements with expanded test coverage and date-overlap handling; comprehensive changelog and flow governance (flow/selector registrations and related docs); Webhooks/schedules refinements, SQL formatting improvements, and memory increase for the capture flow. Representative commits include 38ef345035b9fc7a83ef6c85523515594df420b0 (adiciona valor total transacao), a1c272f0b27943fcc8b783d6d28dafd6964997b1 (adiciona ajuste no tipo_transacao_jae), a404bd157d7534864d95e8029accfb5ffd50c5b8 (Cria modelo de view transacao_cct), f3f343dbe35ed96eb5cfdfd7ba15b946a7cd23fa (Adiciona schema do modelo transacao_cct), 34a893e0edd91f4e8ff517f092c118437492514a (add changelog), 876f0a32dc7f6c42ebb9e75bc70a32cf92f799e2 (Aumenta memoria do flow de captura).
August 2025
Activity
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Quality Metrics
Correctness89.4%
Maintainability88.6%
Architecture87.0%
Performance81.0%
AI Usage22.6%
Skills & Technologies
Programming Languages
MarkdownPythonSQLYAML
Technical Skills
BigQueryCI/CDChangelog ManagementCloud InfrastructureDBTData EngineeringData ModelingData QualityData ValidationData WarehousingDatabaseDatabase ManagementDatabase Schema DesignDatabase Schema ManagementDevOps
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