data-hydenv/data
Jan 2025 – Feb 2025
2 Months active
Languages Used
CSV
Technical Skills
Data EngineeringData IngestionData StorageData Management
simonsch99
PROFILE
Simonsch99
Simon Schiebel developed and maintained HOBO data ingestion pipelines within the data-hydenv/data repository, focusing on delivering new 2025 sensor datasets and improving historical analytics readiness. He engineered ingestion-ready CSV datasets, normalized time-series data, and implemented robust data cleaning routines to remove obsolete files and correct hourly records. Simon addressed data integrity issues by aligning key fields such as id, dttm, and temp, ensuring consistency for downstream analytics and reporting. His work demonstrated proficiency in data engineering, data management, and version control, resulting in improved data reliability, traceable commit history, and strengthened governance for HOBO sensor data across ingestion workflows.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
1
Lines of code
38,644
Activity Months2
Your Network
171 peopleWork History
February 2025
2 Commits
Feb 1, 2025February 2025 - Data quality improvement for dataset 10234653 in repository data-hydenv/data. Focused on fixing data integrity issues by updating 10234653.csv and correcting hourly data in 10234653_Th.csv to ensure consistent alignment of fields 'id', 'dttm', and 'temp' for accurate downstream analytics and reporting. Changes are committed with clear, traceable hashes for auditability.
2 Commits
Feb 1, 2025February 2025 - Data quality improvement for dataset 10234653 in repository data-hydenv/data. Focused on fixing data integrity issues by updating 10234653.csv and correcting hourly data in 10234653_Th.csv to ensure consistent alignment of fields 'id', 'dttm', and 'temp' for accurate downstream analytics and reporting. Changes are committed with clear, traceable hashes for auditability.
February 2025
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025: Focus on enabling robust HOBO data ingestion and improving data quality in data-hydenv/data. Delivered new HOBO 2025 datasets (general sensor data with id, dttm, temp; a dedicated temperature dataset; and hourly data) to support ingestion pipelines and historical analytics. Fixed data quality issues by cleaning obsolete 10234653.csv and updating hourly 10234653_Th.csv to ensure consistent values. These changes enhance analytics readiness, reduce data gaps, and strengthen data governance for HOBO datasets.
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025: Focus on enabling robust HOBO data ingestion and improving data quality in data-hydenv/data. Delivered new HOBO 2025 datasets (general sensor data with id, dttm, temp; a dedicated temperature dataset; and hourly data) to support ingestion pipelines and historical analytics. Fixed data quality issues by cleaning obsolete 10234653.csv and updating hourly 10234653_Th.csv to ensure consistent values. These changes enhance analytics readiness, reduce data gaps, and strengthen data governance for HOBO datasets.
Activity
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Quality Metrics
Correctness94.2%
Maintainability94.2%
Architecture74.2%
Performance85.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSV
Technical Skills
Data EngineeringData IngestionData ManagementData Storage
Repositories Contributed To
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