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Laura Amaral

PROFILE

Laura Amaral

Over a three-month period, this developer focused on data engineering and modeling within the basedosdados/queries-basedosdados and basedosdados/pipelines repositories. They refactored the Br_ibge_censo_2022 dataset, consolidating data into new tables and removing redundant SQL files to improve maintainability and organization. Using Python and SQL, they addressed data correctness by fixing column naming in literacy rate processing and resolved municipality ID handling and year partitioning issues to enhance data quality in analytics workflows. Additionally, they improved metadata governance by updating SQL dictionary comments with date-stamped entries, ensuring traceability and aligning with best practices in database management and ETL processes.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
2
Lines of code
3,148
Activity Months3

Work History

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 — Focused on metadata governance enhancements in the pipelines repo. Delivered a precise update to the Br_me_cnpj SQL dictionary by adding a date-stamped comment to the change description, improving traceability and auditability of dictionary updates. This aligns with governance standards and reduces risk during model usage. Commit: d675ee78222fa213ea641497f8ad1bee29f662ea. No major bugs fixed in this period; all changes are scoped to documentation/metadata.

December 2025

1 Commits

Dec 1, 2025

December 2025 monthly performance summary for the basedosdados/pipelines repository. The month prioritized data correctness and reliability in municipality-level analytics. A targeted bug fix addressed Municipality ID handling and year-based partitioning in the SQL model, improving data quality and trustworthy downstream reporting. No new features were released; instead, stabilization of core data workflows was the priority to reduce operational risk and enable more accurate geo-analytics in future sprints.

November 2024

2 Commits • 1 Features

Nov 1, 2024

Monthly summary for 2024-11: Delivered a structural refactor and data correctness improvements for Br_ibge_censo_2022 in basedosdados/queries-basedosdados. Key changes include refactoring and reorganizing dataset models, removal of unused/redundant SQL files, and consolidation of data into new tables (municipio, setor_censitario) to improve data organization and maintainability. Additionally fixed a column name issue in the alfabetizacao CTE to ensure accurate literacy rate processing (municipio_codigo and alfabetizacao). Commits addressing these changes include 4f3308e4a71be145b0b06c182c567fcbae0a9ebb (fix: censo_2022 tables) and c9a4253e5adce330e0ffc82b9f93f7683896674d (fix: alfabetizacao table column names).

Activity

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Quality Metrics

Correctness92.6%
Maintainability92.6%
Architecture92.6%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonSQL

Technical Skills

Data EngineeringData ModelingDatabaseETLPythonSQLSQL queryingdata modelingdatabase management

Repositories Contributed To

2 repos

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

basedosdados/queries-basedosdados

Nov 2024 Nov 2024
1 Month active

Languages Used

PythonSQL

Technical Skills

Data EngineeringData ModelingDatabaseETLPythonSQL

basedosdados/pipelines

Dec 2025 Feb 2026
2 Months active

Languages Used

SQL

Technical Skills

SQL queryingdata modelingdatabase managementSQL