How to extract pandas dataframe rows is one table using the column values in another table

Question

I have 2 pandas dataframe:

df1

Column A	Column B	Column C
A1	1234	Q1
A2	1253	Q2
A3	1255	Q3
A4	1277	@4
A1	1277	Q5
A3	12345	Q6

df2

Column C	Column D	Column E
A1	B2	12
A2	B4	23
A3	A2	34
A4	A4	45

I would like to merge the table that looks something like this:

Expected output:

Column A	Column B	Column D	Column E
A1	1234	Q1	B2
A2	1253	Q2	B4
A3	1255	Q3	A2
A4	1277	@4	A4
A1	1277	Q5	B2
A3	12345	Q6	A2

What I tried so far?

df_merged = [df_1[df_1["Column A"] == i] for i in df2["Column C"]]

The above script is time consuming. Hence, I would like a fast and efficient solution.