  The data produced by the future space-based millihertz gravitational-wave
detector LISA will require nontrivial pre-processing, which might affect the
science results. It is crucial to demonstrate the feasibility of such
processing algorithms and assess their performance and impact on the science.
We are building an end-to-end pipeline that includes state-of-the-art
simulations and noise reduction algorithms. The simulations must include a
detailed model of the full measurement chain, capturing the main features that
affect the instrument performance and processing algorithms. In particular, we
include in these simulations, for the first time, proper relativistic treatment
of reference frames with realistic numerically-optimized orbits; a model for
onboard clocks and clock synchronization measurements; proper modeling of total
laser frequencies, including laser locking, frequency planning and Doppler
shifts; and a better treatment of onboard processing. Using these simulated
data, we show that our pipeline is able to reduce the most critical noises and
form synchronized observables. By injecting signals from a verification binary,
we demonstrate that good parameter estimation can be obtained on this more
realistic setup, extending existing results from previous LISA Data Challenges.
