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thaismdr

PROFILE

Thaismdr

Thais Madeira Filipi contributed to the basedosdados/pipelines repository by expanding the Higher Education Census data ingestion pipeline, extending its coverage through 2025 and updating the schema to support new data fields. She developed Python scripts to process and standardize 2024 census data, ensuring compatibility with BigQuery and improving downstream data quality. In addition to feature development, Thais addressed a critical bug affecting enrollment count accuracy, stabilizing analytics and nightly batch runs. Her work demonstrated depth in data modeling, SQL, and database management, focusing on robust data processing and reliability to support educational analytics with accurate, well-structured datasets.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
1
Lines of code
460
Activity Months2

Work History

February 2026

1 Commits

Feb 1, 2026

February 2026 monthly summary for basedosdados/pipelines: Focused on data accuracy and pipeline reliability. Delivered a critical bug fix addressing the Higher Education Census enrollment count in the pipelines, validated through PR br_inep_censo_educacao_superior (#1403). The fix prevents incorrect enrollment numbers from propagating into downstream analytics and dashboards, stabilizing nightly batch runs. No new features released this month in this repository; main work centered on bug resolution and code hygiene.

November 2025

2 Commits • 1 Features

Nov 1, 2025

November 2025 performance for basedosdados/pipelines: Delivered an end-to-end enhancement of the Higher Education Census data ingestion, extending coverage to 2025 and updating the schema to accommodate new fields. Implemented scripts to process 2024 census data and standardize column names and structures to ensure reliable, BigQuery-friendly uploads. No separate major bugs reported; the work focused on feature delivery and pipeline readiness to support analytics in education by expanding data availability and improving data quality.

Activity

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Quality Metrics

Correctness100.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonSQL

Technical Skills

BigQueryPython scriptingSQLdata analysisdata modelingdata processingdatabase management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

basedosdados/pipelines

Nov 2025 Feb 2026
2 Months active

Languages Used

PythonSQL

Technical Skills

BigQueryPython scriptingSQLdata analysisdata modelingdata processing