  In this paper, we get some convergence rates in total variation distance in
approximating discretized paths of L{\'e}vy driven stochastic differential
equations, assuming that the driving process is locally stable. The particular
case of the Euler approximation is studied. Our results are based on sharp
local estimates in Hellinger distance obtained using Malliavin calculus for
jump processes.
