 Central limit theorem from the Skorokhod embedding

The law of large numbers gives $T_n/n\to {\sigma }^2$. Brownian maximal estimates then showin probability. Since $B_{n{\sigma }^2}/\sqrt{n}\sim N(0,{\sigma }^2)$, the embedded random walk satisfies the central limit theorem.