
Marija Kotryna Urbaite engineered and maintained a robust suite of data pipelines and datasets for the atviriduomenys/manifest repository, focusing on municipal and public sector data integration. Over nine months, she delivered features such as dataset lifecycle management, ingestion configuration, and metadata alignment, using skills in data engineering, data curation, and metadata management. Working primarily with CSV and text-based data, Marija standardized schemas, improved data quality, and enabled reliable downstream analytics. Her approach emphasized maintainability and data integrity, with iterative updates and version control ensuring accuracy. The depth of her work supported scalable reporting and data-driven decision-making across domains.

Month: 2025-09 — Delivered the Vilnius Municipal Registered Problems Dataset integration (registruotos_problemos.csv) into the manifest data system, wired the data source path, and established ongoing data quality checks and metadata updates to ensure dataset accuracy and consistency. This work expands municipal issue coverage, improves data reliability for reporting, and supports data-driven decision-making for city services.
Month: 2025-09 — Delivered the Vilnius Municipal Registered Problems Dataset integration (registruotos_problemos.csv) into the manifest data system, wired the data source path, and established ongoing data quality checks and metadata updates to ensure dataset accuracy and consistency. This work expands municipal issue coverage, improves data reliability for reporting, and supports data-driven decision-making for city services.
August 2025 for atviriduomenys/manifest focused on data hygiene, ingestion reliability, and repository expansion. Delivered targeted batch updates across multiple datasets to refresh records and fix inconsistencies, refined ingestion/configuration, and onboarded new files while performing cleanup to remove obsolete paths. These efforts improved data accuracy, velocity, and readiness for downstream analytics and reporting.
August 2025 for atviriduomenys/manifest focused on data hygiene, ingestion reliability, and repository expansion. Delivered targeted batch updates across multiple datasets to refresh records and fix inconsistencies, refined ingestion/configuration, and onboarded new files while performing cleanup to remove obsolete paths. These efforts improved data accuracy, velocity, and readiness for downstream analytics and reporting.
July 2025 monthly summary for atviriduomenys/manifest: Delivered integration of meteorological observations dataset and standardized naming across dataset and manifest, with metadata updates and data source linkage. Implemented and refined data ingestion for meteorologiniai_stebejimai.csv (now stebejimai.csv), including updates to get_data_gov_lt.in and associated metadata. All changes committed across 5 commits, improving data consistency and downstream usability.
July 2025 monthly summary for atviriduomenys/manifest: Delivered integration of meteorological observations dataset and standardized naming across dataset and manifest, with metadata updates and data source linkage. Implemented and refined data ingestion for meteorologiniai_stebejimai.csv (now stebejimai.csv), including updates to get_data_gov_lt.in and associated metadata. All changes committed across 5 commits, improving data consistency and downstream usability.
May 2025 monthly summary for atviriduomenys/manifest: Delivered a focused data enrichment feature to extend the suteikta_parama.csv dataset with new subsidy attributes, enhancing storage, categorization, and usability of subsidy records. This work provides a cleaner data model for subsidies and supports downstream analytics and reporting.
May 2025 monthly summary for atviriduomenys/manifest: Delivered a focused data enrichment feature to extend the suteikta_parama.csv dataset with new subsidy attributes, enhancing storage, categorization, and usability of subsidy records. This work provides a cleaner data model for subsidies and supports downstream analytics and reporting.
April 2025: Delivered data infrastructure improvements in atviriduomenys/manifest to support archival and georeferencing workflows for the Utenos district municipality. Implemented lifecycle management for darbai.csv (creation and retirement) and introduced infoera.csv with metadata/schema, plus ingestion updates to include the new data source path (get_data_gov_lt.in). Also fixed a resource column typo and aligned ingestion configuration for reliable data ingestion.
April 2025: Delivered data infrastructure improvements in atviriduomenys/manifest to support archival and georeferencing workflows for the Utenos district municipality. Implemented lifecycle management for darbai.csv (creation and retirement) and introduced infoera.csv with metadata/schema, plus ingestion updates to include the new data source path (get_data_gov_lt.in). Also fixed a resource column typo and aligned ingestion configuration for reliable data ingestion.
March 2025 performance summary for atviriduomenys/manifest: Data engineering and dataset lifecycle work delivering up-to-date data, naming consistency, and ingestion readiness to improve analytics reliability and business reporting.
March 2025 performance summary for atviriduomenys/manifest: Data engineering and dataset lifecycle work delivering up-to-date data, naming consistency, and ingestion readiness to improve analytics reliability and business reporting.
February 2025 monthly summary for atviriduomenys/manifest. Drove data reliability and analytics readiness by creating and maintaining core CSV datasets, and aligning integration points with updated data sources. All work focused on delivering fresh, accurate datasets for downstream reporting and public data publication. Key data assets created/maintained: - skolų_irasai.csv: initial creation and nine subsequent updates (10 commits total) to keep school enrollment data current. - Get_data_gov_lt.in integration: updates to reflect data source changes (3 commits). - Mokiniu_grupese.csv: creation and subsequent updates (2 commits). - Mokinius_grupese.csv: data updates (3 commits). - Atvejai.csv: dataset updates (6 commits).
February 2025 monthly summary for atviriduomenys/manifest. Drove data reliability and analytics readiness by creating and maintaining core CSV datasets, and aligning integration points with updated data sources. All work focused on delivering fresh, accurate datasets for downstream reporting and public data publication. Key data assets created/maintained: - skolų_irasai.csv: initial creation and nine subsequent updates (10 commits total) to keep school enrollment data current. - Get_data_gov_lt.in integration: updates to reflect data source changes (3 commits). - Mokiniu_grupese.csv: creation and subsequent updates (2 commits). - Mokinius_grupese.csv: data updates (3 commits). - Atvejai.csv: dataset updates (6 commits).
Concise monthly summary focused on delivering business value and technical achievements for the repository atviriduomenys/manifest in 2025-01. The month centered on extending dataset coverage for Telšiai district admissions and hardening data quality for downstream consumers, including gov.lt integrations.
Concise monthly summary focused on delivering business value and technical achievements for the repository atviriduomenys/manifest in 2025-01. The month centered on extending dataset coverage for Telšiai district admissions and hardening data quality for downstream consumers, including gov.lt integrations.
In December 2024, delivered key data pipeline improvements for the atviriduomenys/manifest repository, focusing on data quality and dataset lifecycle management. Fixed a critical data type inconsistency in egs.csv and implemented a lifecycle for the Kaunas Center contracts dataset sutartys.csv, aligning the data loader with the new dataset and standardizing data formats. These changes improve data integrity, reduce technical debt, and enable reliable downstream analytics.
In December 2024, delivered key data pipeline improvements for the atviriduomenys/manifest repository, focusing on data quality and dataset lifecycle management. Fixed a critical data type inconsistency in egs.csv and implemented a lifecycle for the Kaunas Center contracts dataset sutartys.csv, aligning the data loader with the new dataset and standardizing data formats. These changes improve data integrity, reduce technical debt, and enable reliable downstream analytics.
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