Harrison contributed to the IMAP-Science-Operations-Center/sds-data-manager repository by engineering robust data pipeline configuration and automation features over five months. He centralized and extended dependency management for science data products, using Python and CSV-driven configuration to ensure reliable data flow and reproducibility across complex pipelines. Leveraging AWS Lambda, AWS CDK, and EventBridge, Harrison automated daily data ingestion and batch processing, while refactoring scheduling frameworks for scalable, multi-job workflows. His work improved data lineage, reduced manual setup, and enhanced test reliability, demonstrating depth in backend development, infrastructure as code, and data engineering. The solutions addressed maintainability, operational risk, and cross-team collaboration.
August 2025 monthly summary for IMAP-Science-Operations-Center/sds-data-manager: Delivered automation and scaffolding for robust time-based data processing, enhanced scheduling architecture for scalable multi-job workflows, consolidated configuration to reduce redundancy, and improved test reliability and documentation to raise maintainability. These efforts collectively enabled reliable daily SDS data ingestion, flexible scheduling, and easier ongoing governance of scheduled tasks, delivering measurable business value with lower operational risk.
August 2025 monthly summary for IMAP-Science-Operations-Center/sds-data-manager: Delivered automation and scaffolding for robust time-based data processing, enhanced scheduling architecture for scalable multi-job workflows, consolidated configuration to reduce redundancy, and improved test reliability and documentation to raise maintainability. These efforts collectively enabled reliable daily SDS data ingestion, flexible scheduling, and easier ongoing governance of scheduled tasks, delivering measurable business value with lower operational risk.
July 2025: Delivered SPICE dependency configuration update for Hi/Lo L3 maps in the SDS data manager to ensure correct SPICE data is referenced during processing. The change updates dependency_config.csv to include science_frames, pointing_attitude, spacecraft_clock, and leapseconds as dependencies for targeted Hi/Lo L3 configurations, improving accuracy and provenance of L3 maps. No major bugs were reported; the work reduces processing errors and enables more reliable downstream analytics.
July 2025: Delivered SPICE dependency configuration update for Hi/Lo L3 maps in the SDS data manager to ensure correct SPICE data is referenced during processing. The change updates dependency_config.csv to include science_frames, pointing_attitude, spacecraft_clock, and leapseconds as dependencies for targeted Hi/Lo L3 configurations, improving accuracy and provenance of L3 maps. No major bugs were reported; the work reduces processing errors and enables more reliable downstream analytics.
June 2025 monthly summary for the IMAP-Science-Operations-Center/sds-data-manager. Focused three priority feature areas to improve data readiness, spectral analysis capability, and end-to-end science-frame support across SDS/GLOWS SWAPI/pui-he pipelines. Deliveries enhanced data product readiness, reduced risk in production tests, and expanded science capabilities aligned with mission needs.
June 2025 monthly summary for the IMAP-Science-Operations-Center/sds-data-manager. Focused three priority feature areas to improve data readiness, spectral analysis capability, and end-to-end science-frame support across SDS/GLOWS SWAPI/pui-he pipelines. Deliveries enhanced data product readiness, reduced risk in production tests, and expanded science capabilities aligned with mission needs.
May 2025 monthly summary for IMAP-Science-Operations-Center/sds-data-manager. Delivered centralized data pipeline dependency configuration updates for CoDICE L3 and GLOWS pipelines, enabling reliable cross-product data flow and reducing manual configuration. Implemented repoint handling for GLOWS L3b/L3e to ensure correct pipeline traversal and updated GLOWS L3e dependencies. These changes enhance data lineage, maintainability, and cross-team collaboration, while preparing the platform for upcoming L3/L4 expansions.
May 2025 monthly summary for IMAP-Science-Operations-Center/sds-data-manager. Delivered centralized data pipeline dependency configuration updates for CoDICE L3 and GLOWS pipelines, enabling reliable cross-product data flow and reducing manual configuration. Implemented repoint handling for GLOWS L3b/L3e to ensure correct pipeline traversal and updated GLOWS L3e dependencies. These changes enhance data lineage, maintainability, and cross-team collaboration, while preparing the platform for upcoming L3/L4 expansions.
In April 2025, delivered a key feature for the IMAP-Science-Operations-Center/sds-data-manager by adding ancillary data dependencies for GLOWS and HIT pipelines. This update expands dependency configuration to include calibration data, time-dependent background, helio background, and pipeline settings for GLOWS, as well as required lookup tables for HIT, ensuring pipelines have access to all necessary data for processing. The change is implemented in commit 96bb7e1f187d6db4de2b44fd07de7ac6a49cec76 with message 'Update dependencies for GLOWS and HIT instruments.' This work improves data availability, reduces manual setup, and increases reliability of end-to-end processing.
In April 2025, delivered a key feature for the IMAP-Science-Operations-Center/sds-data-manager by adding ancillary data dependencies for GLOWS and HIT pipelines. This update expands dependency configuration to include calibration data, time-dependent background, helio background, and pipeline settings for GLOWS, as well as required lookup tables for HIT, ensuring pipelines have access to all necessary data for processing. The change is implemented in commit 96bb7e1f187d6db4de2b44fd07de7ac6a49cec76 with message 'Update dependencies for GLOWS and HIT instruments.' This work improves data availability, reduces manual setup, and increases reliability of end-to-end processing.
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