prefeitura-rio/queries-rj-sms
Apr 2026 – May 2026
2 Months active
Languages Used
PythonSQLYAML
Technical Skills
BigQueryDBTData AnalysisDatabase ManagementETL processesGitHub Actions
Matheus Avellar
PROFILE
Matheus Avellar
Over a three-month period, contributed to the prefeitura-rio/queries-rj-sms and pipelines_rj_sms repositories by building and refining data models, improving data validation, and enhancing operational workflows. Leveraged Python, SQL, and DBT to overhaul data modeling with metadata governance, implement incremental data loading fixes, and introduce new patient data processing pipelines. Addressed data integrity by refining CNS validation and CPF-based filtering, while also strengthening security through environment variable management and on-demand reporting. Focused on maintainability and auditability by updating ownership metadata and streamlining workflow management, resulting in more reliable analytics, improved data quality, and reduced operational overhead for the data platform.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
17Total
Bugs
2
Commits
17
Features
6
Lines of code
345,312
Activity Months3
Your Network
31 peopleSame Organization
@prefeitura.rio6
Shared Repositories
25
Christian BasilioMember
Daniel LiraMember
DayaneRamosMember
heriancMember
srtapachecoMember
miloskimatheusMember
Matheus AvellarMember
miloskimatheusMember
miloskimatheusMember
Work History
May 2026
6 Commits • 3 Features
May 1, 2026May 2026 delivered substantial data quality, security, and operational improvements across two Rio de Janeiro SMS repos. Key outcomes include enhanced data models and validation, CNS data integrity fixes, DBT task security hardening, and on-demand reporting capabilities, enabling faster business response and reduced unnecessary processing.
6 Commits • 3 Features
May 1, 2026May 2026 delivered substantial data quality, security, and operational improvements across two Rio de Janeiro SMS repos. Key outcomes include enhanced data models and validation, CNS data integrity fixes, DBT task security hardening, and on-demand reporting capabilities, enabling faster business response and reduced unnecessary processing.
May 2026
April 2026
10 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for Prefeitura Rio data platform (queries-rj-sms). Focused on delivering governance-driven data modeling, improving data loading reliability, and initiating patient data processing workflows to support trusted analytics for SMS Rio.
April 2026
10 Commits • 2 Features
Apr 1, 2026April 2026 monthly summary for Prefeitura Rio data platform (queries-rj-sms). Focused on delivering governance-driven data modeling, improving data loading reliability, and initiating patient data processing workflows to support trusted analytics for SMS Rio.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for prefeitura-rio/pipelines_rj_sms focusing on branding alignment in email communications. This period centered on applying the S/CIT committee branding update to email templates, ensuring consistency with the latest branding assets across outgoing messages.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for prefeitura-rio/pipelines_rj_sms focusing on branding alignment in email communications. This period centered on applying the S/CIT committee branding update to email templates, ensuring consistency with the latest branding assets across outgoing messages.
February 2026
Activity
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Quality Metrics
Correctness91.8%
Maintainability89.4%
Architecture90.6%
Performance88.2%
AI Usage23.6%
Skills & Technologies
Programming Languages
PythonSQLYAML
Technical Skills
BigQueryDBTData AnalysisDatabase ManagementETL processesGitHub ActionsPythonPython scriptingSQLSQL queriesbackend developmentdata cleaningdata engineeringdata modelingdata pipelines
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
prefeitura-rio/pipelines_rj_sms
Feb 2026 – May 2026
2 Months active
Languages Used
Python
Technical Skills
Pythonbackend developmentdata engineeringdata pipelinesdbtworkflow management