Possible read-after-write consistency issue with multiple schema migration steps in Iceberg tables on AWS Glue + S3

### Apache Iceberg version

Pyiceberg 0.10.0
Pyiceberg-core 0.6.0

### Please describe the bug 🐞

This may be a hard one to pin down but I noticed that multiple schema migration steps executed sequentially in the same `update_schema` context *sometimes* result in Exceptions like column name not found when using Iceberg tables on AWS Glue. An example:

```python
with table.update_schema() as update:
update.rename_column("some_column", "renamed_column")
update.move_first("renamed_column") # this sometimes fails with an error
# that renamed column doesn't exist
```

I have not noticed it with other back-ends like SQLite, leading me to believe it is a Glue issue specifically where a write may not yet be reflected by the time of the next operation.

### Willingness to contribute

- [ ] I can contribute a fix for this bug independently
- [x] I would be willing to contribute a fix for this bug with guidance from the Iceberg community
- [ ] I cannot contribute a fix for this bug at this time

Start with the table.update_schema() flow and reproduce the sequential rename_column followed by move_first example against AWS Glue and S3, comparing it with SQLite. Trace whether the first schema write is visible before the next operation. Done means explaining the inconsistency and adding a regression test or clearly documenting the remaining backend limitation.

Written by the indexing model from the issue text.