Should I transform my feature into normal distrubition before Isolation Forest
Its better to use data as is for anomaly detection as the underlying data is not normal. Apart from what you asked, Isolation Forest has a problem that it has the chances of creating ghost clusters where anomaly scores would be incorrect. Hence the recent one is EIF works better.