  TESS (Transiting Exoplanet Survey Satellite) was launched in 2018 with the
purpose of observing bright stars in the solar neighbourhood to search for
transiting exoplanets. After the completion of the two year nominal mission,
TESS has provided 2\,minute cadence photometry of over 200\,000 stars. This
large collection of light curves opens the possibility to study the statistical
and temporal properties of this ensemble of stars.
  Most of the currently available data pipelines are designed to work on single
sector at a time. We present a new TESS data pipeline called {\tt Taranga},
with the purpose of merging multi-sector light curves, whilst performing a
period search for all the observed stars, and stores the statistical results in
a database.
  {\tt Taranga} pipeline has three components which 1) processes the PDCSAP
fluxes of each sector and creates merged PDCSAP light curve, 2) performs a
similar operation on the SAP fluxes, and 3) generates the periodograms of the
merged SAP and PDCSAP light curves while performing peak identification.
  For all the 232\,122 stars observed in short cadence in the nominal TESS
mission, we provide the merged PDCSAP and SAP light-curves along with their
periodograms. We provide a database that has the statistics of all the results
produced from {\tt Taranga} of these stars.
