atviriduomenys/manifest
Nov 2024 – Feb 2026
9 Months active
Languages Used
CSVTextN/ANoneplaintext
Technical Skills
Configuration ManagementData CleaningData CurationData EngineeringData ManagementDataset Management
Tautvydas
PROFILE
Tautvydas
Tautvydas N. engineered and maintained the atviriduomenys/manifest repository, focusing on robust data pipelines and high-quality dataset management. Over nine months, he delivered end-to-end data ingestion, curation, and validation workflows, integrating new CSV datasets and normalizing file structures to ensure analytics readiness. His technical approach emphasized configuration management, data cleaning, and version-controlled updates, with careful attention to data accuracy and cross-dataset consistency. Using skills in data engineering and file handling, Tautvydas implemented iterative improvements, lifecycle governance, and batch updates, resulting in reliable, reproducible data assets that support downstream analytics and reporting for diverse public sector data domains.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
102Total
Bugs
5
Commits
102
Features
19
Lines of code
1,751
Activity Months9
Your Network
12 peopleWork History
February 2026
9 Commits • 2 Features
Feb 1, 2026February 2026: Delivered foundational data integration for the manifest repository, expanding data coverage and improving data quality. Key work includes creation and integration of kgspgra and kgspgl_paraiska.csv, reorganization of dataset files and data source references, and targeted data corrections across kgspgl_paraiska.csv and apsvitos_dozes.csv, underpinned by updates to the data ingestion script get_data_gov_lt.in.
9 Commits • 2 Features
Feb 1, 2026February 2026: Delivered foundational data integration for the manifest repository, expanding data coverage and improving data quality. Key work includes creation and integration of kgspgra and kgspgl_paraiska.csv, reorganization of dataset files and data source references, and targeted data corrections across kgspgl_paraiska.csv and apsvitos_dozes.csv, underpinned by updates to the data ingestion script get_data_gov_lt.in.
February 2026
January 2026
15 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a Comprehensive Dataset Accuracy Refresh for Core CSV Datasets in atviriduomenys/manifest. Updated 15 core CSV files (including apylinkes.csv, kvalifikacija.csv, r23_atestuota_dm.csv, gelezinkeliu_eismo_ivykiai.csv, evrk2_1.csv, balsave.csv, isrinkti.csv, archyviniai.csv, aprupinimas_jodo_preparatais.csv, infostatyba.csv, lovu_fondas.csv, matininkai.csv, natura2000.csv) to reflect new data entries and corrections, significantly improving data accuracy and relevance for end users. Changes were implemented via 15 auditable commits, enabling reproducibility and traceability. Overall impact: more reliable analytics, better decision-making, and increased trust in the dataset.
January 2026
15 Commits • 1 Features
Jan 1, 2026January 2026: Delivered a Comprehensive Dataset Accuracy Refresh for Core CSV Datasets in atviriduomenys/manifest. Updated 15 core CSV files (including apylinkes.csv, kvalifikacija.csv, r23_atestuota_dm.csv, gelezinkeliu_eismo_ivykiai.csv, evrk2_1.csv, balsave.csv, isrinkti.csv, archyviniai.csv, aprupinimas_jodo_preparatais.csv, infostatyba.csv, lovu_fondas.csv, matininkai.csv, natura2000.csv) to reflect new data entries and corrections, significantly improving data accuracy and relevance for end users. Changes were implemented via 15 auditable commits, enabling reproducibility and traceability. Overall impact: more reliable analytics, better decision-making, and increased trust in the dataset.
December 2025
14 Commits • 1 Features
Dec 1, 2025In 2025-12, focused on delivering data quality improvements across the atviriduomenys/manifest repository. The key feature delivered was dataset accuracy and consistency improvements across multiple CSV datasets, consolidating updates to financial records, employment/workplace data, and analytical datasets. This work was backed by commits updating 12 CSV files (cvpp.csv, grpk.csv, egzemplioriai.csv, reitingo_eilutes.csv, islaidos.csv, pajamos.csv, pirmumo_balsai.csv, rezultatai.csv, gpm_deklaracijos.csv, paraiskos.csv, darbo_vietos.csv). The effort increased data reliability, enabling accurate analytics, reporting, and decision-making.
14 Commits • 1 Features
Dec 1, 2025In 2025-12, focused on delivering data quality improvements across the atviriduomenys/manifest repository. The key feature delivered was dataset accuracy and consistency improvements across multiple CSV datasets, consolidating updates to financial records, employment/workplace data, and analytical datasets. This work was backed by commits updating 12 CSV files (cvpp.csv, grpk.csv, egzemplioriai.csv, reitingo_eilutes.csv, islaidos.csv, pajamos.csv, pirmumo_balsai.csv, rezultatai.csv, gpm_deklaracijos.csv, paraiskos.csv, darbo_vietos.csv). The effort increased data reliability, enabling accurate analytics, reporting, and decision-making.
December 2025
November 2025
7 Commits • 5 Features
Nov 1, 2025November 2025 monthly summary for atviriduomenys/manifest: data freshness improvements across multiple datasets, reinforcing data accuracy and completeness for users tracking heating, events, procurement, and governance data.
November 2025
7 Commits • 5 Features
Nov 1, 2025November 2025 monthly summary for atviriduomenys/manifest: data freshness improvements across multiple datasets, reinforcing data accuracy and completeness for users tracking heating, events, procurement, and governance data.
September 2025
1 Commits
Sep 1, 2025September 2025 focused on maintaining data quality and reliability in the manifests repository, with a targeted fix to Lab Tyrimai Dataset improving data integrity and downstream analytics.
1 Commits
Sep 1, 2025September 2025 focused on maintaining data quality and reliability in the manifests repository, with a targeted fix to Lab Tyrimai Dataset improving data integrity and downstream analytics.
September 2025
April 2025
3 Commits
Apr 1, 2025April 2025 monthly summary for atviriduomenys/manifest: Focused on data quality improvements in the Epaveldas_institucijos.csv dataset. Implemented coordinate standardization to geometry(4326) and corrected related metadata in the 'koord' field, along with a minor comment formatting adjustment to improve maintainability. These changes enhance data accuracy for end users and enable reliable geospatial analysis, mapping, and downstream integrations. Commit activity included three updates to the CSV: 316af5ed8c9571a42c78acad450dc3ce554e2248; e2835168bb5812e675fe137338c3f48a50332d6b; 6f3036cee598991a86f4f46a36ad7e54971bbe47.
April 2025
3 Commits
Apr 1, 2025April 2025 monthly summary for atviriduomenys/manifest: Focused on data quality improvements in the Epaveldas_institucijos.csv dataset. Implemented coordinate standardization to geometry(4326) and corrected related metadata in the 'koord' field, along with a minor comment formatting adjustment to improve maintainability. These changes enhance data accuracy for end users and enable reliable geospatial analysis, mapping, and downstream integrations. Commit activity included three updates to the CSV: 316af5ed8c9571a42c78acad450dc3ce554e2248; e2835168bb5812e675fe137338c3f48a50332d6b; 6f3036cee598991a86f4f46a36ad7e54971bbe47.
March 2025
5 Commits • 1 Features
Mar 1, 2025Month: 2025-03. Key features delivered: Saugojamos_rusys.csv enrichment with vda_id linkage, id renamed to vda_id, formatting and field alignment cleanups, and removal of a stray comma to ensure CSV parsing. Major bugs fixed: Parama.csv data type consistency updated by changing eiles_nr from integer to string to prevent parsing issues across datasets. Overall impact: improved data integrity, reliable cross-dataset joins with external data, and more robust CSV pipelines. Technologies/skills demonstrated: CSV data modeling, data cleansing, version-controlled changes, and cross-repo data governance.
5 Commits • 1 Features
Mar 1, 2025Month: 2025-03. Key features delivered: Saugojamos_rusys.csv enrichment with vda_id linkage, id renamed to vda_id, formatting and field alignment cleanups, and removal of a stray comma to ensure CSV parsing. Major bugs fixed: Parama.csv data type consistency updated by changing eiles_nr from integer to string to prevent parsing issues across datasets. Overall impact: improved data integrity, reliable cross-dataset joins with external data, and more robust CSV pipelines. Technologies/skills demonstrated: CSV data modeling, data cleansing, version-controlled changes, and cross-repo data governance.
March 2025
February 2025
11 Commits • 2 Features
Feb 1, 2025February 2025: Delivered end-to-end integration and maintenance of the gyventojai_gyvenvietese.csv population dataset in the manifest, establishing a reliable data source for settlement-level analytics. Implemented a dataset lifecycle with updates and a deprecation/removal step to keep the repository governed. Improved data quality through name/description corrections and path integration, and performed targeted repository cleanup by removing an unused empty placeholder file.
February 2025
11 Commits • 2 Features
Feb 1, 2025February 2025: Delivered end-to-end integration and maintenance of the gyventojai_gyvenvietese.csv population dataset in the manifest, establishing a reliable data source for settlement-level analytics. Implemented a dataset lifecycle with updates and a deprecation/removal step to keep the repository governed. Improved data quality through name/description corrections and path integration, and performed targeted repository cleanup by removing an unused empty placeholder file.
November 2024
37 Commits • 7 Features
Nov 1, 2024November 2024 (2024-11) monthly summary for atviriduomenys/manifest. Focused on delivering a robust data ingestion and dataset curation pipeline to improve data reliability and analytics readiness. Key outcomes include batch 1 data ingestion, dataset filename normalization, creation/renaming of evakuacijos_punktas, Kas.csv and Sirenos.csv, and ongoing updates to get_data_gov_lt.in and its configuration. These changes enable faster batch processing, consistent data assets, and better alignment with data sources, reducing manual cleanup and improving data quality for downstream analytics.
37 Commits • 7 Features
Nov 1, 2024November 2024 (2024-11) monthly summary for atviriduomenys/manifest. Focused on delivering a robust data ingestion and dataset curation pipeline to improve data reliability and analytics readiness. Key outcomes include batch 1 data ingestion, dataset filename normalization, creation/renaming of evakuacijos_punktas, Kas.csv and Sirenos.csv, and ongoing updates to get_data_gov_lt.in and its configuration. These changes enable faster batch processing, consistent data assets, and better alignment with data sources, reducing manual cleanup and improving data quality for downstream analytics.
November 2024
Activity
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Quality Metrics
Correctness98.4%
Maintainability98.2%
Architecture97.8%
Performance98.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVN/ANoneTextplaintext
Technical Skills
Configuration ManagementData CleaningData CurationData EngineeringData ManagementDataset ManagementFile Renamingdata accuracydata analysisdata entrydata managementdata validationfile handling
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