Tracking the dynamics of income inequality in India is fraught with serious challenges related to the quality and availability of data. Combining national accounts aggregates, tabulated tax data and household surveys, Chancel and Piketty (2019) develop a measurement framework suited to India and present harmonized long-run inequality estimates. The key roadblock to extend the series to recent years is the lack of any reliable household survey on consumption or income after 2011-12. In this paper, using alternate survey sources and tax data, I begin by developing a measurement approach which allows us to study income dynamics over the 2000-2020 period. As per benchmark estimates, I find that the share of national income going to the top 10% has risen from 39.9% in 2000-01 to 59.5% in 2019-20 while the share of the top 1% has grown from 15.1% to 25.1% over the same period. Based on two alternate approaches that relax certain measurement assumptions, I verify that the these estimates are largely robust to different ways of estimating bottom incomes from surveys. These results would imply that nearly two-thirds of the real-income growth between 2000-2020 was captured by the top 10% and nearly a third by the top 1% alone. Lastly, given the declining quality and availability of data in recent years, I highlight limitations with the current estimation approaches and how these can be improved upon by incorporating additional data sources.