bruin-data/ingestr
Apr 2026 – Apr 2026
1 Month active
Languages Used
Python
Technical Skills
API IntegrationAPI integrationBackend DevelopmentData ProcessingPythoncode formatting
David Alarcón Segarra
PROFILE
David Alarcón Segarra
Developed and integrated a new Reddit Ads data pipeline for the bruin-data/ingestr repository, enabling comprehensive entity extraction and analytics reporting through API v3. Leveraged Python for backend development, focusing on robust API integration, data processing, and type checking to ensure data accuracy and reliability. Enhanced validation by normalizing breakdown values, defining valid metrics, and filtering accounts to return only requested data, which improved data quality and reduced downstream errors. Addressed code maintainability by refining formatting and strengthening type safety, particularly in incremental cursor handling. Provided thorough documentation and collaborated on code reviews to support maintainable, scalable analytics infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
862
Activity Months1
Work History
April 2026
4 Commits • 2 Features
Apr 1, 2026April 2026 — bruin-data/ingestr: Delivered a new Reddit Ads data source with API v3 integration, plus validation, quality, and stability improvements that collectively enhance data coverage, accuracy, and reliability for analytics and decision-making. Key outcomes: - Reddit Ads data pipeline: API v3 integration for entity extraction (accounts, campaigns, ad_groups, ads, posts, custom_audiences, saved_audiences, pixels, funding_instruments) with custom analytics reports, configurable levels, breakdowns, and metrics; proactive rate-limiting handling and automatic microcurrency conversion; thorough documentation. - Validation and filtering: normalizing breakdown values to lowercase, introducing a VALID_METRICS set, validating metrics early, and filtering accounts by account_ids to return only requested data. - Internal code quality and stability: incremental cursor handling improvements with stronger type-safety; formatting and static typing fixes to improve maintainability and reduce future defects. Impact: - Expanded data surface to Reddit Ads, enabling more complete analytics and business insights. - Increased data quality and reliability by early validation and scoped data access, reducing downstream errors and exposure. - Faster, safer development with improved tooling compatibility (ruff/mypy) and clearer code paths for incremental processing.
4 Commits • 2 Features
Apr 1, 2026April 2026 — bruin-data/ingestr: Delivered a new Reddit Ads data source with API v3 integration, plus validation, quality, and stability improvements that collectively enhance data coverage, accuracy, and reliability for analytics and decision-making. Key outcomes: - Reddit Ads data pipeline: API v3 integration for entity extraction (accounts, campaigns, ad_groups, ads, posts, custom_audiences, saved_audiences, pixels, funding_instruments) with custom analytics reports, configurable levels, breakdowns, and metrics; proactive rate-limiting handling and automatic microcurrency conversion; thorough documentation. - Validation and filtering: normalizing breakdown values to lowercase, introducing a VALID_METRICS set, validating metrics early, and filtering accounts by account_ids to return only requested data. - Internal code quality and stability: incremental cursor handling improvements with stronger type-safety; formatting and static typing fixes to improve maintainability and reduce future defects. Impact: - Expanded data surface to Reddit Ads, enabling more complete analytics and business insights. - Increased data quality and reliability by early validation and scoped data access, reducing downstream errors and exposure. - Faster, safer development with improved tooling compatibility (ruff/mypy) and clearer code paths for incremental processing.
April 2026
Activity
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Quality Metrics
Correctness95.0%
Maintainability85.0%
Architecture90.0%
Performance85.0%
AI Usage45.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationAPI integrationBackend DevelopmentData ProcessingPythoncode formattingdata engineeringdata processingtestingtype checkingunit testing
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