
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.
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.
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 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.
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.

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