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Pablo Arriagada

PROFILE

Pablo Arriagada

Pablo Arriagada developed and maintained data engineering pipelines for the owid/etl repository, focusing on metadata accuracy, data quality, and workflow reliability. He engineered ETL processes using Python and YAML, implementing robust data ingestion, transformation, and documentation practices. Pablo improved dataset discoverability and governance by refining metadata, standardizing regional mappings, and aligning sector definitions with international standards. His work included targeted bug fixes, configuration management, and enhancements to data lineage and transparency, supporting reproducible analytics. By integrating data cleaning, validation, and versioning, Pablo ensured that downstream consumers received reliable, well-documented datasets, demonstrating depth in both technical execution and data stewardship.

Overall Statistics

Feature vs Bugs

61%Features

Repository Contributions

128Total
Bugs
31
Commits
128
Features
49
Lines of code
18,768
Activity Months13

Work History

October 2025

2 Commits • 2 Features

Oct 1, 2025

October 2025 monthly summary for owid/etl: Delivered data-quality and classification enhancements through metadata alignment and standardization of regional mappings. Implemented two key features with clear business value and laid groundwork for reliable downstream analytics.

September 2025

3 Commits • 2 Features

Sep 1, 2025

September 2025 (2025-09) monthly summary focusing on data pipeline improvements, public data policy alignment, and metadata enhancements in owid/etl. Delivered three targeted changes that improve data privacy, data quality, and graphing capabilities. The work demonstrates end-to-end data pipeline discipline, metadata governance, and robust release-year handling for historical datasets.

August 2025

6 Commits • 2 Features

Aug 1, 2025

Monthly summary for 2025-08 focused on delivering business value and maintaining data quality for the owid/etl repo. Highlights include metadata enhancements for IVS, improved poverty dataset discoverability and attribution, and cleanup of YAML presentation in the data processing pipeline.

July 2025

3 Commits

Jul 1, 2025

July 2025 (owid/etl): Focused on data quality improvements and pipeline hygiene. No new features released this month; three high-impact bug fixes delivered to improve data accuracy and maintainability. Key outcomes include more precise dataset citations for criminalization_mignot.csv, corrected poverty-line definitions across WBPip explorer views, and a cleaned pipeline by archiving unused datasets. These changes reduce downstream errors, improve analytical reliability for business-critical dashboards, and streamline ongoing maintenance. Specific changes: - Dataset citation metadata accuracy: added publication year to full citation. Commit ae9a6403ca8fd7e3269582c69c37e97a3e5ccc5b. - Poverty line corrections in WBPip explorers: updated pickerColumnSlugs and ySlugs to reflect new values for metrics (headcount ratio, headcount, total shortfall, average shortfall, poverty gap index). Commit ed6015f77c50b5ed78b906d4eb70f6e0576ccd75. - Data pipeline cleanup: archived unused datasets by removing their definitions from the main DAG configuration (Ethnic Power Relations Dataset and World Bank's Women, Business and the Law additional data). Commit d5eccdd78b54590e6d306a82c262900ef80ff09d.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025: Focused on improving the transparency and reproducibility of poverty projections in owid/etl by updating the description and documenting data sources, projection period, and GDP per capita growth inputs. This work enhances data governance, auditability, and reliability of downstream analyses. No major bugs were reported; the emphasis was on documentation and method clarity to support future development and policy analysis.

May 2025

1 Commits

May 1, 2025

Summary for 2025-05 focusing on the owid/etl workstream. Delivered a critical metadata accuracy improvement for the European Social Survey (ESS) by correcting the metadata scale from 1-10 to 0-10 to align with survey methodology and ensure dataset documentation correctness. The change was implemented in commit 59d9aa562f9d622addb1dbe8b8787f5d753512bb and driven through established ETL and docs processes to maintain data governance. Impact: Higher data quality and reliability for analysts, improved cross-dataset comparability, and reduced risk of misinterpretation in ESS-related datasets. This work strengthens the integrity of the ETL metadata layer and supports more accurate downstream analyses. Technologies/skills demonstrated: ETL pipeline adjustments, metadata management, data governance, code review discipline, and disciplined change-tracking in a single-repo workflow (owid/etl).

April 2025

40 Commits • 14 Features

Apr 1, 2025

April 2025 (2025-04) centered on refreshing core data assets, expanding metadata, and hardening the data processing pipeline in owid/etl. The work delivered fresher datasets for analytics, richer metadata for discoverability and governance, and a more robust workflow that reduces maintenance burden and accelerates data delivery to downstream consumers.

March 2025

45 Commits • 14 Features

Mar 1, 2025

March 2025 focused on strengthening data quality, metadata accuracy, and release discipline in the owid/etl pipeline. Delivered enhanced OECD ODA metadata and totals, expanded analytical coverage with indicators as a share of ODA, and implemented a robust dataset lifecycle with snapshots and archiving. Introduced geographic region filtering to improve regional analytics, and advanced release governance through explicit versioning and main-branch workflow alignment. Completed targeted bug fixes and code quality improvements to stabilize metadata handling, mappings, and donor-related dimensions, improving reliability for downstream dashboards and policy analysis.

February 2025

10 Commits • 5 Features

Feb 1, 2025

February 2025 monthly summary for owid initiatives across etl and content repositories. Delivered data accuracy improvements for GDP historical series, precision control for WDI metrics, and up-to-date data source configurations, complemented by logging and documentation improvements and a targeted fix to income share calculations.

January 2025

2 Commits • 1 Features

Jan 1, 2025

January 2025 monthly summary for owid/etl: Focused on improving data metadata and terminology for survey data to enhance clarity, data quality, and downstream analytics. The work reduces ambiguity in geographic semantics and econometric descriptions, enabling more accurate reporting and comparisons across regions and datasets.

December 2024

4 Commits • 3 Features

Dec 1, 2024

December 2024 monthly summary for owid/etl: Delivered key data ingestion and metadata improvements, with targeted bug fixes to ensure correct data projections and improved data update workflows. These changes strengthen data reliability, discoverability, and operational usability, supporting faster decision-making and higher data quality across downstream consumers.

November 2024

10 Commits • 5 Features

Nov 1, 2024

November 2024 monthly summary for owid/etl and owid-content focusing on business value and technical achievements. Key features delivered include MPI metadata clarity and definitions improvements across the ETL (updated descriptions for vulnerable populations, current margin estimate, and harmonized over-time flavors); WID data snapshot release and ETL alignment with the latest data dated 2024-11-19; Wealth share metric titles updated for the World Inequality Database (Wealth share of the richest 10% and 1%) to improve user-facing presentation; Metadata cleanup and simplification removing unused metadata schema and override configurations to streamline validation. Major bugs fixed include a DAG data pipeline fix for WID data mapping (removing an unnecessary data source reference and adding a WID data source mapping in the poverty inequality DAG) and Poverty Data Documentation Strings Fix in owid-content (adding missing documentation strings and expanding notes in .explorer.tsv). Overall impact: clearer, more reliable data flows, more intuitive metrics, and reduced validation overhead, enabling faster, higher-quality releases. Technologies/skills demonstrated: ETL orchestration and DAG debugging, data versioning and release management, metadata governance and cleanup, and improvements to data presentation and observability.

October 2024

1 Commits

Oct 1, 2024

October 2024: Executed a focused bug fix in owid-content to stabilize Income Distribution Explorers by removing the mapTargetTime field from two TSV files, eliminating a source of visualization and data processing errors. No new features delivered this month; the change reduces technical debt and improves data pipeline reliability.

Activity

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Quality Metrics

Correctness93.6%
Maintainability94.4%
Architecture92.6%
Performance92.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

MarkdownPythonStataTSVYAML

Technical Skills

API IntegrationCI/CDCode DocumentationConfiguration ManagementData AnalysisData CleaningData ConfigurationData CurationData DocumentationData EngineeringData HarmonizationData IntegrationData ManagementData ModelingData Pipeline Management

Repositories Contributed To

2 repos

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

owid/etl

Nov 2024 Oct 2025
12 Months active

Languages Used

PythonStataYAMLMarkdown

Technical Skills

CI/CDData ConfigurationData DocumentationData EngineeringData HarmonizationData Pipeline Management

owid/owid-content

Oct 2024 Feb 2025
3 Months active

Languages Used

TSVPython

Technical Skills

Data CleaningData ManagementData DocumentationData Quality AssuranceData AnalysisData Engineering

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