Help deciding ORM VS raw SQL trade-off in Complex scenario

Hello.

I am seasoned SQLAlchemy user and quite good in node's sequelise ORM.

But I am new to the one with Django.So here's my situation.

I am developing an accounting (book keeping ) automation software service.

So there are accounting rules (Debit = Dr and credit = Cr) for double
entry book keeping.

Every transaction will have 2 or more amounts, at least 1 each for dr or
Cr.

These entries are called vouchers.

We also store retail bills, receipts and payments again all in different
tables.

But the bills and receipt&payment tables are connected to the voucher
table.

The software generates reports such as cash flow, meaning day's opening
balance, total Drs, total crs, and final closing balance (DRs - Crs).

then there are Profit and Loss as well as balance sheet reports.

All this needs a lot of aggregations (sum and counts ) and also joining
of invoice + voucher and recept&payment + voucher tables.

so here are my questions.

1: given the fact that I have created materialised views in Postgresql,
should I even care to model them and use the ORM syntax instead of raw
query?  What would perform better?

2: datasets are going to be huge some times in terms of shear rows (all
transactions aka vouchers ) or some times sum and count will be used in
complex queries on a huge dataset.

Again, should I rely on raw queries or will ORM plan the queries for me
better?  Should I instead create stored procedures and call them from my
REST API?

talking of which,

3: I am using Django REST Framework and serialising records is an option
to get json output.

Should I use it or just go with raw queries and convert output to JSON
as required?

Again performance is a question.

Tip, My team is very proficient in SQL and yours truely can modestly
call himself an expert in the same, so maintenance is not an issue here.

Regards.

Krishnakant.

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