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Seems to be happening at job.enqueue step. It could be that each job is loading a process/thread with libraries necessary. This might be able to be circumvented via ingest runner function and ingest registry calling and cleaning up after each ingest.
Memory utilization is too high for data size. Profile memory usage across ingest to identify leaks.
https://pypi.org/project/memory-profiler/
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