Optimize Amazon SQL Server RDS Update Query

I am looking at whether my update below is the most effecient way of running the update
Both are populated from live data
@tableROllAPoll will generally have 500-2500 records
@tableActiveRecords will have 300,000+ records

I have the @table structures included as well

DECLARE @tableROllAPoll TABLE
(
    IndividualID BIGINT,
    matchname VARCHAR(1000),
    matchaddres VARCHAR(1000),
    matchEmail VARCHAR(1000),
    HomeNumber BIGINT,
    Mobile BIGINT,
    matchOP VARCHAR(1000),
    MatchAll_IndividualID BIGINT,
    NamePhoneEmail_IndividualID BIGINT,
    NamePhoneAddress_IndividualID BIGINT,
    NameAddressEmail_IndividualID BIGINT,
    PhoneAddressEmail_IndividualID BIGINT,
    NamePhone_IndividualID BIGINT,
    NameEmail_IndividualID BIGINT,
    PhoneEmail_IndividualID BIGINT
);


DECLARE @tableActiveRecords TABLE
(
    OriginID INT,
    OriginName VARCHAR(1000),
    IndividualID BIGINT,
    matchname VARCHAR(1000),
    matchaddres VARCHAR(1000),
    matchEmail VARCHAR(1000),
    HomeNumber BIGINT,
    Mobile BIGINT
);

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UPDATE rp
SET rp.NamePhoneEmail_IndividualID = namephoneemail.IndividualID
FROM @tableROllAPoll rp
    JOIN @tableActiveRecords namephoneemail ON rp.matchname = namephoneemail.matchname
                                               AND rp.matchEmail = namephoneemail.matchEmail
                                               AND rp.Mobile = namephoneemail.Mobile
                                               AND rp.Mobile > 0;

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