prefeitura-rio/pipelines_rj_smtr
Nov 2024 – Feb 2026
15 Months active
Languages Used
MarkdownPythonSQLJinjaYAML
Technical Skills
Changelog ManagementData EngineeringData ModelingETLGTFS ProcessingPython
Victor Miguel Rocha
PROFILE
Victor Miguel Rocha
Victor Rocha developed and maintained complex data pipelines for the prefeitura-rio/pipelines_rj_smtr repository, focusing on public transit and subsidy analytics. Over 15 months, he delivered features such as direction-based data analysis, historical compatibility for GTFS feeds, and versioned vehicle data staging. Victor applied Python and SQL extensively, leveraging DBT for data modeling and ETL orchestration. His work included rigorous bug fixing, automated testing, and changelog management to ensure data integrity and regulatory compliance. By refactoring models, optimizing scheduling, and enhancing monitoring flows, Victor improved data quality, pipeline reliability, and operational planning for municipal services, demonstrating strong engineering depth.
Overall Statistics
Feature vs Bugs
54%Features
Repository Contributions
117Total
Bugs
33
Commits
117
Features
39
Lines of code
22,811
Activity Months15
Your Network
5 peopleWork History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 highlights for Prefeitura Rio pipelines_rj_smtr: 1) Feature delivery: integrate monitoramento_viagem_transacao into the monitoring materialization flow and remove it from subsidy flow; changelog updated. 2) Quality/bug-fix work: optimize subsidy billing tests by filtering bus mode and removing unused tests; changelog updated. 3) Overall impact: improved data observability and reliability, faster CI feedback, and alignment with the new monitoring architecture. 4) Technologies/skills demonstrated: Git-based workflow, changelog discipline, test strategy, monitoring data flows, collaboration with automation bot.
2 Commits • 2 Features
Feb 1, 2026February 2026 highlights for Prefeitura Rio pipelines_rj_smtr: 1) Feature delivery: integrate monitoramento_viagem_transacao into the monitoring materialization flow and remove it from subsidy flow; changelog updated. 2) Quality/bug-fix work: optimize subsidy billing tests by filtering bus mode and removing unused tests; changelog updated. 3) Overall impact: improved data observability and reliability, faster CI feedback, and alignment with the new monitoring architecture. 4) Technologies/skills demonstrated: Git-based workflow, changelog discipline, test strategy, monitoring data flows, collaboration with automation bot.
February 2026
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for prefeitura-rio/pipelines_rj_smtr: Delivered core observability enhancements and reliability improvements to support operations around holiday and weekend service schedules. Focused on improving monitoring usability, data structure, and test coverage to enable faster issue detection and more reliable data for planning and decision-making.
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for prefeitura-rio/pipelines_rj_smtr: Delivered core observability enhancements and reliability improvements to support operations around holiday and weekend service schedules. Focused on improving monitoring usability, data structure, and test coverage to enable faster issue detection and more reliable data for planning and decision-making.
December 2025
11 Commits • 4 Features
Dec 1, 2025December 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr: Delivered targeted features and fixes that improve service planning accuracy, data integrity, and production readiness. The work spans Verão seasonal service adaptations, GTFS data quality hardening, alternative route processing, scheduling and pricing clarity, and enhanced automated testing, enabling reliable deployments and business-ready insights across the Rio de Janeiro pipelines domain.
11 Commits • 4 Features
Dec 1, 2025December 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr: Delivered targeted features and fixes that improve service planning accuracy, data integrity, and production readiness. The work spans Verão seasonal service adaptations, GTFS data quality hardening, alternative route processing, scheduling and pricing clarity, and enhanced automated testing, enabling reliable deployments and business-ready insights across the Rio de Janeiro pipelines domain.
December 2025
October 2025
8 Commits • 2 Features
Oct 1, 2025October 2025 monthly review for prefeitura-rio/pipelines_rj_smtr: Delivered enhanced GTFS data capture and resilient data pipelines, fixed critical flow issues, and updated policy windows to improve data accuracy, governance, and operational observability. Business value includes broader data capture coverage for travel limits and seals, improved data quality in GTFS processing, and better alignment with regulatory cycles.
October 2025
8 Commits • 2 Features
Oct 1, 2025October 2025 monthly review for prefeitura-rio/pipelines_rj_smtr: Delivered enhanced GTFS data capture and resilient data pipelines, fixed critical flow issues, and updated policy windows to improve data accuracy, governance, and operational observability. Business value includes broader data capture coverage for travel limits and seals, improved data quality in GTFS processing, and better alignment with regulatory cycles.
September 2025
8 Commits • 4 Features
Sep 1, 2025September 2025: Delivered key features and fixes in prefeitura-rio/pipelines_rj_smtr to stabilize data pipelines, improve data quality, and expand data sources. Key features delivered include subsidy pipeline materialization improvements (commit 328a65a0344a008ffa4b3b059374ad955be06e17) and Update ordem_servico_diaria view with aux_ordem_servico_diaria_v4 (commit 8398b60afb7b8881dec001ac0df35afda3a9af71). Major bug fixes addressed test-time env handling in get_capture_gaps (commit 510ea41a83e1cefad6a6f0f06974b092f34c9cde) and data consistency for vehicle sealing (commit 86517495d5a2897c1983c76a65ae02a9eb24208a), plus a date-range fix in veiculo_dia (commit 06f003ebcace75a8702b05d063933a3ac6edc0f8). Documentation and data quality improvements include Monitoring flows documentation update (commit 9f2f8c0dd66485774466747c8488c8f3a8cfd86c) and Temperature calculation improvements and indicators accuracy (commits 6125f2e3012d742ef9cb2df7b3d7a7f910f80d44 and 02716ed5a495ae53c1c4948184b5d093aa3126a8). Impact: enhanced data reliability, faster pipeline execution, reduced data capture errors, and better traceability via changelog. Skills demonstrated: SQL refactoring, data source integration (full outer union by name), parameterization, robust validation, null-safe arithmetic, changelog maintenance, and documentation updates.
8 Commits • 4 Features
Sep 1, 2025September 2025: Delivered key features and fixes in prefeitura-rio/pipelines_rj_smtr to stabilize data pipelines, improve data quality, and expand data sources. Key features delivered include subsidy pipeline materialization improvements (commit 328a65a0344a008ffa4b3b059374ad955be06e17) and Update ordem_servico_diaria view with aux_ordem_servico_diaria_v4 (commit 8398b60afb7b8881dec001ac0df35afda3a9af71). Major bug fixes addressed test-time env handling in get_capture_gaps (commit 510ea41a83e1cefad6a6f0f06974b092f34c9cde) and data consistency for vehicle sealing (commit 86517495d5a2897c1983c76a65ae02a9eb24208a), plus a date-range fix in veiculo_dia (commit 06f003ebcace75a8702b05d063933a3ac6edc0f8). Documentation and data quality improvements include Monitoring flows documentation update (commit 9f2f8c0dd66485774466747c8488c8f3a8cfd86c) and Temperature calculation improvements and indicators accuracy (commits 6125f2e3012d742ef9cb2df7b3d7a7f910f80d44 and 02716ed5a495ae53c1c4948184b5d093aa3126a8). Impact: enhanced data reliability, faster pipeline execution, reduced data capture errors, and better traceability via changelog. Skills demonstrated: SQL refactoring, data source integration (full outer union by name), parameterization, robust validation, null-safe arithmetic, changelog maintenance, and documentation updates.
September 2025
August 2025
8 Commits • 3 Features
Aug 1, 2025August 2025 (2025-08) monthly summary for prefeitura-rio/pipelines_rj_smtr. Key features delivered include the direction-based data analysis feature (Apuração por sentido) with model refactors, updated date filters and schema to support directional reporting. Quality Assurance enhancements were added for subsidy data processing and tests, and schema/documentation quality improvements standardized descriptions and references for maintainability. Major bugs fixed include: fixes for joins in ordem_servico_trips_shapes (base and v2 variants) to ensure accurate data integration with GTFS; hotfixes correcting viagem_transacao processing and date conditions for subsidy-related transactions; and date-range/grace-period handling in veiculo_dia and veiculo_licenciamento_dia. Additional improvements encompass testing coverage for planned departures and vehicle sealing, improving data integrity validation. Overall impact: improved data accuracy and reliability of directional analytics, robust subsidy processing, and maintainability of pipelines. Technologies/skills demonstrated: data modeling and schema evolution, ETL/GTFS processing, SQL join fixes, test-driven validation, exception handling for date processing, and documentation standardization.
August 2025
8 Commits • 3 Features
Aug 1, 2025August 2025 (2025-08) monthly summary for prefeitura-rio/pipelines_rj_smtr. Key features delivered include the direction-based data analysis feature (Apuração por sentido) with model refactors, updated date filters and schema to support directional reporting. Quality Assurance enhancements were added for subsidy data processing and tests, and schema/documentation quality improvements standardized descriptions and references for maintainability. Major bugs fixed include: fixes for joins in ordem_servico_trips_shapes (base and v2 variants) to ensure accurate data integration with GTFS; hotfixes correcting viagem_transacao processing and date conditions for subsidy-related transactions; and date-range/grace-period handling in veiculo_dia and veiculo_licenciamento_dia. Additional improvements encompass testing coverage for planned departures and vehicle sealing, improving data integrity validation. Overall impact: improved data accuracy and reliability of directional analytics, robust subsidy processing, and maintainability of pipelines. Technologies/skills demonstrated: data modeling and schema evolution, ETL/GTFS processing, SQL join fixes, test-driven validation, exception handling for date processing, and documentation standardization.
July 2025
18 Commits • 5 Features
Jul 1, 2025July 2025 across prefeitura-rio/pipelines_rj_smtr delivered critical data quality improvements and new data-modeling capabilities that strengthen regulatory reporting, subsidy analytics, and travel planning. Key outcomes include fixes to vehicle status reporting, robust data reprocessing, support for historical travel data, subsidy flow registration, and enhanced travel flow with dual daily reports and versioned planned-trip models, all backed by updated tests and changelogs.
18 Commits • 5 Features
Jul 1, 2025July 2025 across prefeitura-rio/pipelines_rj_smtr delivered critical data quality improvements and new data-modeling capabilities that strengthen regulatory reporting, subsidy analytics, and travel planning. Key outcomes include fixes to vehicle status reporting, robust data reprocessing, support for historical travel data, subsidy flow registration, and enhanced travel flow with dual daily reports and versioned planned-trip models, all backed by updated tests and changelogs.
July 2025
June 2025
8 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr: Focused on delivering business-value features, correcting regulatory calculations, and improving data processing and planning accuracy. Key work includes subsidy calculation improvements, planning event classification, standardized mileage calculation, infraction data parsing enhancements, and a compliance-driven trip calculation fix. These changes improve data integrity, regulatory compliance, planning reliability, and maintainability.
June 2025
8 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr: Focused on delivering business-value features, correcting regulatory calculations, and improving data processing and planning accuracy. Key work includes subsidy calculation improvements, planning event classification, standardized mileage calculation, infraction data parsing enhancements, and a compliance-driven trip calculation fix. These changes improve data integrity, regulatory compliance, planning reliability, and maintainability.
May 2025
9 Commits • 2 Features
May 1, 2025May 2025 focused on delivering planning and data integrity improvements for the prefeitura-rio/pipelines_rj_smtr repository. Key work ranged from enhancements to the planning calendar and subsidy processing to data model stability fixes, with an emphasis on business value, reliability, and governance of data pipelines.
9 Commits • 2 Features
May 1, 2025May 2025 focused on delivering planning and data integrity improvements for the prefeitura-rio/pipelines_rj_smtr repository. Key work ranged from enhancements to the planning calendar and subsidy processing to data model stability fixes, with an emphasis on business value, reliability, and governance of data pipelines.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for prefeitura-rio/pipelines_rj_smtr. Delivered a major Vehicle Data Pipeline refactor with versioned data staging, enhancing data processing accuracy and reliability; replaced legacy macros with a generalized version-date retrieval, enabling more maintainable and scalable pipelines. Fixed critical issues in veiculo dataset models and established groundwork for reproducible analytics and safer rollbacks. The updates improve data quality, downstream reporting confidence, and maintainability of the vehicle data pipeline.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for prefeitura-rio/pipelines_rj_smtr. Delivered a major Vehicle Data Pipeline refactor with versioned data staging, enhancing data processing accuracy and reliability; replaced legacy macros with a generalized version-date retrieval, enabling more maintainable and scalable pipelines. Fixed critical issues in veiculo dataset models and established groundwork for reproducible analytics and safer rollbacks. The updates improve data quality, downstream reporting confidence, and maintainability of the vehicle data pipeline.
March 2025
9 Commits • 2 Features
Mar 1, 2025March 2025 (2025-03) focused on enhancing data integrity, scheduling accuracy, and business value for the prefeitura-rio/pipelines_rj_smtr pipeline. Key outcomes include refined Carnaval/Verão data classification, improved trip ordering for viagens_remuneradas, and robust data quality fixes for viagem_planejada and GPS data, with updates to changelog and planning flows for better traceability and planning alignment.
9 Commits • 2 Features
Mar 1, 2025March 2025 (2025-03) focused on enhancing data integrity, scheduling accuracy, and business value for the prefeitura-rio/pipelines_rj_smtr pipeline. Key outcomes include refined Carnaval/Verão data classification, improved trip ordering for viagens_remuneradas, and robust data quality fixes for viagem_planejada and GPS data, with updates to changelog and planning flows for better traceability and planning alignment.
March 2025
February 2025
10 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr focused on delivering business-value features, hardening data pipelines, and fixing core subsidy calculations. Key outcomes include improved data timeliness, accurate Verão classification for January 2025, enhanced test coverage and reliability, and robust handling of historical subsidy data and subsidy calculations.
February 2025
10 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for prefeitura-rio/pipelines_rj_smtr focused on delivering business-value features, hardening data pipelines, and fixing core subsidy calculations. Key outcomes include improved data timeliness, accurate Verão classification for January 2025, enhanced test coverage and reliability, and robust handling of historical subsidy data and subsidy calculations.
January 2025
10 Commits • 4 Features
Jan 1, 2025January 2025 performance for prefeitura-rio/pipelines_rj_smtr highlights four feature streams across GTFS capture, subsidy data modeling, monitoring, and vehicle data documentation. The month delivered measurable improvements in cadence, data quality, and observability, supported by targeted commit changes and validation refinements.
10 Commits • 4 Features
Jan 1, 2025January 2025 performance for prefeitura-rio/pipelines_rj_smtr highlights four feature streams across GTFS capture, subsidy data modeling, monitoring, and vehicle data documentation. The month delivered measurable improvements in cadence, data quality, and observability, supported by targeted commit changes and validation refinements.
January 2025
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for prefeitura-rio/pipelines_rj_smtr focused on data quality, reliability, and maintainability of GTFS and subsidy data pipelines. Delivered targeted fixes, introduced testing coverage, and aligned versioning with December reporting requirements to support accurate business insights and governance.
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for prefeitura-rio/pipelines_rj_smtr focused on data quality, reliability, and maintainability of GTFS and subsidy data pipelines. Delivered targeted fixes, introduced testing coverage, and aligned versioning with December reporting requirements to support accurate business insights and governance.
November 2024
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for prefeitura-rio/pipelines_rj_smtr: Delivered two major data pipeline features and a critical travel data fix, driving historical data compatibility, granular reporting, richer event taxonomy, and tighter data window controls. These changes enhance data quality, analytics reliability, and operational planning for the municipality.
6 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for prefeitura-rio/pipelines_rj_smtr: Delivered two major data pipeline features and a critical travel data fix, driving historical data compatibility, granular reporting, richer event taxonomy, and tighter data window controls. These changes enhance data quality, analytics reliability, and operational planning for the municipality.
November 2024
Activity
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Quality Metrics
Correctness86.8%
Maintainability85.0%
Architecture83.4%
Performance76.0%
AI Usage22.2%
Skills & Technologies
Programming Languages
JinjaMarkdownPythonSQLYAML
Technical Skills
API IntegrationAirflowBug FixingCI/CDChangelog ManagementCloud ComputingDBTData AnalysisData EngineeringData ModelingData PipelinesData ProcessingData QualityData ValidationData Warehousing
Repositories Contributed To
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