
During September 2025, Akaume Heiwa enhanced the IMAP-Science-Operations-Center/sds-data-manager repository by strengthening its scheduling pipeline and improving configuration robustness. Leveraging Python, AWS CDK, and AWS Lambda, Akaume introduced more reliable scheduled job processing by ensuring the latest repoint file paths were accurately detected and passed to processors, which improved data input accuracy and end-to-end reliability. The work included validation of schedule expressions, refined rule naming, and expanded test coverage using pytest. By streamlining outdated configurations and adding new scheduled workloads, Akaume reduced maintenance overhead, improved observability through enhanced logging, and enabled faster issue detection for scalable batch data processing.

September 2025 close-out for IMAP-Science-Operations-Center/sds-data-manager focused on strengthening the scheduling pipeline, improving configuration robustness, and expanding scheduled workloads. The work delivered more reliable data processing, better observability, and reduced maintenance burden, enabling faster issue detection and scalability of batch jobs.
September 2025 close-out for IMAP-Science-Operations-Center/sds-data-manager focused on strengthening the scheduling pipeline, improving configuration robustness, and expanding scheduled workloads. The work delivered more reliable data processing, better observability, and reduced maintenance burden, enabling faster issue detection and scalability of batch jobs.
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