
Marta Polec developed and maintained core backend features for the HabitatMap/AirCasting repository over 15 months, focusing on scalable data ingestion, analytics, and API reliability. She engineered robust data models and synchronization workflows for air quality measurements, integrating sources like EEA and AirNow while ensuring data integrity through migrations, validation, and deduplication. Using Ruby on Rails, SQL, and TypeScript, Marta modernized the platform with upgrades, refactoring, and cloud storage transitions, improving performance and maintainability. Her work included building ETL pipelines, optimizing batch processing, and enhancing API endpoints, resulting in faster onboarding, improved data quality, and streamlined analytics for environmental datasets.

February 2026: Delivered critical capabilities in HabitatMap/AirCasting focused on data quality, processing speed, and onboarding efficiency. Implemented EEA data ingestion and sampling enhancements with broader country coverage and new import triggers; achieved substantial performance gains in batch processing and hourly average calculations through cleanup refactoring, indexing, and the new ScheduledUpdater; released a setup-tooling enhancement with a Rake task to initialize source/stream configurations, simplifying onboarding for new environments. These changes improve data availability, reduce processing latency, and shorten time-to-value for customers while strengthening system reliability.
February 2026: Delivered critical capabilities in HabitatMap/AirCasting focused on data quality, processing speed, and onboarding efficiency. Implemented EEA data ingestion and sampling enhancements with broader country coverage and new import triggers; achieved substantial performance gains in batch processing and hourly average calculations through cleanup refactoring, indexing, and the new ScheduledUpdater; released a setup-tooling enhancement with a Rake task to initialize source/stream configurations, simplifying onboarding for new environments. These changes improve data availability, reduce processing latency, and shorten time-to-value for customers while strengthening system reliability.
January 2026 monthly summary for HabitatMap/AirCasting: Delivered robust data integrity improvements, expanded EEA data ingestion capabilities, and enhanced analytics for air quality datasets. The work tightened data quality, improved ingestion reliability, and enabled deeper insights for regulatory reporting and operational decisions. Implementations span data model hardening, ingestion infrastructure, batch lifecycle, and sensor filtering enhancements, with attention to performance and storage efficiency.
January 2026 monthly summary for HabitatMap/AirCasting: Delivered robust data integrity improvements, expanded EEA data ingestion capabilities, and enhanced analytics for air quality datasets. The work tightened data quality, improved ingestion reliability, and enabled deeper insights for regulatory reporting and operational decisions. Implementations span data model hardening, ingestion infrastructure, batch lifecycle, and sensor filtering enhancements, with attention to performance and storage efficiency.
December 2025 monthly summary for HabitatMap/AirCasting focusing on business value, reliability, and technical accomplishments. Delivered end-to-end EEA data ingestion and reinforced data integrity with a strengthened FixedStream/FixedMeasurement model. Enforced stricter data validity checks and expanded data migration/ETL capabilities to support scalable analytics readiness.
December 2025 monthly summary for HabitatMap/AirCasting focusing on business value, reliability, and technical accomplishments. Delivered end-to-end EEA data ingestion and reinforced data integrity with a strengthened FixedStream/FixedMeasurement model. Enforced stricter data validity checks and expanded data migration/ETL capabilities to support scalable analytics readiness.
October 2025 | HabitatMap/AirCasting: Key work focused on delivering the EEA Data Integration feature, establishing a solid data-model foundation and initial configuration to enable ingestion of European Environment Agency data. This work lays the groundwork for scalable data pipelines and compliant data relationships. No major bugs were reported this month.
October 2025 | HabitatMap/AirCasting: Key work focused on delivering the EEA Data Integration feature, establishing a solid data-model foundation and initial configuration to enable ingestion of European Environment Agency data. This work lays the groundwork for scalable data pipelines and compliant data relationships. No major bugs were reported this month.
2025-09 HabitatMap/AirCasting monthly summary focusing on business value, data quality, and technical achievement. Delivered enhancements to the FixedMeasurement data model to standardize usage across sessions, syncing, endpoints, and analytics, boosting data consistency and enabling more reliable analytics and reporting. Implemented analytics/export improvements leveraging fixed_measurements for daily/hourly averages, session-based filtering, and export workflows, improving data-driven decision-making. Strengthened AirNow/AirBeam integration with coordinate handling improvements and robust saving of fixed measurements from streaming sources, and introduced a new import approach and population script guidance. Performed targeted maintenance to reduce tech debt, including code cleanup and removal of legacy code, and fixed critical data pipeline issues such as average calculation for AirNow streams and sensor_name correctness in session links. Expanded capabilities with tag-based session filtering and updated API documentation to reflect new data flows and endpoints.
2025-09 HabitatMap/AirCasting monthly summary focusing on business value, data quality, and technical achievement. Delivered enhancements to the FixedMeasurement data model to standardize usage across sessions, syncing, endpoints, and analytics, boosting data consistency and enabling more reliable analytics and reporting. Implemented analytics/export improvements leveraging fixed_measurements for daily/hourly averages, session-based filtering, and export workflows, improving data-driven decision-making. Strengthened AirNow/AirBeam integration with coordinate handling improvements and robust saving of fixed measurements from streaming sources, and introduced a new import approach and population script guidance. Performed targeted maintenance to reduce tech debt, including code cleanup and removal of legacy code, and fixed critical data pipeline issues such as average calculation for AirNow streams and sensor_name correctness in session links. Expanded capabilities with tag-based session filtering and updated API documentation to reflect new data flows and endpoints.
August 2025 performance summary for HabitatMap/AirCasting: Delivered a robust Measurements Synchronization API for fixed sessions, improved data transfer efficiency, and strengthened test suite maintainability. Key work included implementing the initial API with validation, last-sync-based data fetching, and serialized payloads; refining the sync_measurements workflow through logic improvements; and standardizing test spec naming to boost CI reliability. A temporary rollback to the previous sync logic was applied during rollout to ensure stability. This work reduces data transfer, improves data integrity for fixed sessions, and sets the stage for future enhancements and monitoring.
August 2025 performance summary for HabitatMap/AirCasting: Delivered a robust Measurements Synchronization API for fixed sessions, improved data transfer efficiency, and strengthened test suite maintainability. Key work included implementing the initial API with validation, last-sync-based data fetching, and serialized payloads; refining the sync_measurements workflow through logic improvements; and standardizing test spec naming to boost CI reliability. A temporary rollback to the previous sync logic was applied during rollout to ensure stability. This work reduces data transfer, improves data integrity for fixed sessions, and sets the stage for future enhancements and monitoring.
2025-07 monthly summary for HabitatMap/AirCasting. Focused delivery across data modeling, API reliability, and analytics enhancements with clear business value and maintainability improvements.
2025-07 monthly summary for HabitatMap/AirCasting. Focused delivery across data modeling, API reliability, and analytics enhancements with clear business value and maintainability improvements.
June 2025 HabitatMap/AirCasting monthly summary focusing on business value and technical achievements. Delivered two major features to streamline mobile-backend synchronization, improve data integrity, and simplify maintenance. Key outcomes include faster and more reliable user-session workflows, safer cascade deletions, and accurate post-sync daily aggregates.
June 2025 HabitatMap/AirCasting monthly summary focusing on business value and technical achievements. Delivered two major features to streamline mobile-backend synchronization, improve data integrity, and simplify maintenance. Key outcomes include faster and more reliable user-session workflows, safer cascade deletions, and accurate post-sync daily aggregates.
May 2025 performance summary for HabitatMap/AirCasting focused on delivering a stable, scalable upgrade and robust data ingestion. Completed platform upgrade to Ruby 3.2.6 and Rails 7.0.8 with API validation modernization and a migration from Paperclip to Active Storage, significantly reducing maintenance risk. Implemented a new Fixed Streaming Measurements API to streamline data ingestion and ensure accurate measurements and session timestamps.
May 2025 performance summary for HabitatMap/AirCasting focused on delivering a stable, scalable upgrade and robust data ingestion. Completed platform upgrade to Ruby 3.2.6 and Rails 7.0.8 with API validation modernization and a migration from Paperclip to Active Storage, significantly reducing maintenance risk. Implemented a new Fixed Streaming Measurements API to streamline data ingestion and ensure accurate measurements and session timestamps.
April 2025 monthly summary for HabitatMap/AirCasting: Delivered targeted performance, data-access, and storage improvements that directly enhance data retrieval speed, API usability, and storage scalability. Implementations were delivered through a series of well-scoped changes across Streams, Sessions, and Notes/Photos with clean API surface and improved data integrity.
April 2025 monthly summary for HabitatMap/AirCasting: Delivered targeted performance, data-access, and storage improvements that directly enhance data retrieval speed, API usability, and storage scalability. Implementations were delivered through a series of well-scoped changes across Streams, Sessions, and Notes/Photos with clean API surface and improved data integrity.
March 2025 monthly summary for HabitatMap/AirCasting: Key features and bug fixes delivered with a clear focus on business value and long-term maintainability. Fixed a test-flaking bug by removing the unused first_measurement_time from StreamSerializer, simplifying response payloads and improving test reliability. Consolidated the API surface by removing legacy endpoints and obsolete analytics tracking, reducing technical debt and surface area, and making the API easier to evolve. These changes improve data handling, stability of consumer integrations, and overall maintainability. Technologies used include Ruby on Rails, API design, and code cleanup/refactoring to reduce debt and improve testability.
March 2025 monthly summary for HabitatMap/AirCasting: Key features and bug fixes delivered with a clear focus on business value and long-term maintainability. Fixed a test-flaking bug by removing the unused first_measurement_time from StreamSerializer, simplifying response payloads and improving test reliability. Consolidated the API surface by removing legacy endpoints and obsolete analytics tracking, reducing technical debt and surface area, and making the API easier to evolve. These changes improve data handling, stability of consumer integrations, and overall maintainability. Technologies used include Ruby on Rails, API design, and code cleanup/refactoring to reduce debt and improve testability.
February 2025 focused on reducing technical debt and improving data completeness for HabitatMap/AirCasting. Key changes include removing the Flipper feature flagging system (Gem, controllers, routes, and environment variables) and deprecating Flipper-related tables; and enhancing the data export pipeline to include AirBeamMini-PM2.5 sensor data. These efforts simplify deployments, reduce maintenance burden, and enable fuller analytics for AirCasting models across environments.
February 2025 focused on reducing technical debt and improving data completeness for HabitatMap/AirCasting. Key changes include removing the Flipper feature flagging system (Gem, controllers, routes, and environment variables) and deprecating Flipper-related tables; and enhancing the data export pipeline to include AirBeamMini-PM2.5 sensor data. These efforts simplify deployments, reduce maintenance burden, and enable fuller analytics for AirCasting models across environments.
January 2025 — HabitatMap/AirCasting: Delivered targeted enhancements to measurements and analytics pipelines that improve user experience, data accuracy, and operational reliability. Key outcomes include timezone-aware Measurements API time handling, an extended window for fixed streams measurements, and a comprehensive overhaul of daily averages calculations with a scalable scheduling workflow.
January 2025 — HabitatMap/AirCasting: Delivered targeted enhancements to measurements and analytics pipelines that improve user experience, data accuracy, and operational reliability. Key outcomes include timezone-aware Measurements API time handling, an extended window for fixed streams measurements, and a comprehensive overhaul of daily averages calculations with a scalable scheduling workflow.
Monthly summary for 2024-12 focusing on delivering business value through technical enhancements and robust fixes in HabitatMap/AirCasting.
Monthly summary for 2024-12 focusing on delivering business value through technical enhancements and robust fixes in HabitatMap/AirCasting.
Month 2024-11 focused on strengthening HabitatMap/AirCasting alerting capabilities and expanding time-based data aggregation to support government data requirements. Delivered stream-aware threshold alerts, robust error handling, configurable alert toggles, enhanced observability, and flexible hourly averages; added data integrity constraints and a backfill rake task to migrate existing alerts. Implemented a configurable parameter for hourly data aggregation to choose preceding or succeeding hour, enabling government-data compliant time-based processing.
Month 2024-11 focused on strengthening HabitatMap/AirCasting alerting capabilities and expanding time-based data aggregation to support government data requirements. Delivered stream-aware threshold alerts, robust error handling, configurable alert toggles, enhanced observability, and flexible hourly averages; added data integrity constraints and a backfill rake task to migrate existing alerts. Implemented a configurable parameter for hourly data aggregation to choose preceding or succeeding hour, enabling government-data compliant time-based processing.
Overview of all repositories you've contributed to across your timeline