I need a python developer who is experienced in XML parsing. I have a deeply nested XM and the solution should use the Element tree iterparse module. The sub roots have multiple elements with attributes.
The closest example of the XML file is in the link -- https://towardsdatascience.com/converting-multi-layered-xml-files-to-dataframes-in-python-using-xmltree-a13f9b043b48. The requirements are ...
1) The solution I need is also exactly the same as the one detailed at the bottom-most part of the blog link above.
However, the catch here is I don't want to hardcode any root or sub toot "identifiers". If you look the example blog above all the 5 root identifiers has been hardcoded by the subsection to identify the nested elements. The solution needs to be dynamic whereby no noot or sub-root is hardcoded.
2) The logic in the blog also uses Array to build the extracted data before it converts it to a data frame. The solution needs to have a better way of representing the collected data before it is converted to data frame as the files are big.
