Is there any kafka consumer configuration in Pinot to ensure efficient data fetching and processing ?

pinot transparently pass kafka consumer configs, so technically you can achieve the same efficiency as you are running a native kakfa consumer.

sorry i did not get, I was check pinot server logs... There i see consumer configs and all are having default value...

ConsumerConfig values:
	allow.auto.create.topics = true
	<http://auto.commit.interval.ms|auto.commit.interval.ms> = 5000
	auto.offset.reset = latest
	bootstrap.servers = [broker_list]
	check.crcs = true
	client.dns.lookup = use_all_dns_ips
	client.id = kafka_pinot_ingest-25
	client.rack =
	<http://connections.max.idle.ms|connections.max.idle.ms> = 540000
	<http://default.api.timeout.ms|default.api.timeout.ms> = 60000
	enable.auto.commit = true
	exclude.internal.topics = true
	fetch.max.bytes = 52428800
	<http://fetch.max.wait.ms|fetch.max.wait.ms> = 500
	fetch.min.bytes = 1
	group.id = grp6
	group.instance.id = null
	<http://heartbeat.interval.ms|heartbeat.interval.ms> = 3000
	interceptor.classes = []
	internal.leave.group.on.close = true
	internal.throw.on.fetch.stable.offset.unsupported = false
	isolation.level = read_uncommitted
	key.deserializer = class org.apache.pinot.shaded.org.apache.kafka.common.serialization.StringDeserializer
	max.partition.fetch.bytes = 1048576
	<http://max.poll.interval.ms|max.poll.interval.ms> = 300000
	max.poll.records = 500
	<http://metadata.max.age.ms|metadata.max.age.ms> = 300000
	metric.reporters = []
	metrics.num.samples = 2
	metrics.recording.level = INFO
	<http://metrics.sample.window.ms|metrics.sample.window.ms> = 30000
	partition.assignment.strategy = [class org.apache.pinot.shaded.org.apache.kafka.clients.consumer.RangeAssignor]
	receive.buffer.bytes = 65536
	<http://reconnect.backoff.max.ms|reconnect.backoff.max.ms> = 1000
	<http://reconnect.backoff.ms|reconnect.backoff.ms> = 50
	<http://request.timeout.ms|request.timeout.ms> = 30000
	<http://retry.backoff.ms|retry.backoff.ms> = 100
	sasl.client.callback.handler.class = null
	sasl.jaas.config = null
	sasl.kerberos.kinit.cmd = /usr/bin/kinit
	sasl.kerberos.min.time.before.relogin = 60000
	sasl.kerberos.service.name = null
	sasl.kerberos.ticket.renew.jitter = 0.05
	sasl.kerberos.ticket.renew.window.factor = 0.8
	sasl.login.callback.handler.class = null
	sasl.login.class = null
	sasl.login.refresh.buffer.seconds = 300
	sasl.login.refresh.min.period.seconds = 60
	sasl.login.refresh.window.factor = 0.8
	sasl.login.refresh.window.jitter = 0.05
	sasl.mechanism = GSSAPI
	security.protocol = PLAINTEXT
	security.providers = null
	send.buffer.bytes = 131072
	<http://session.timeout.ms|session.timeout.ms> = 10000
	<http://socket.connection.setup.timeout.max.ms|socket.connection.setup.timeout.max.ms> = 30000
	<http://socket.connection.setup.timeout.ms|socket.connection.setup.timeout.ms> = 10000
	ssl.cipher.suites = null
	ssl.enabled.protocols = [TLSv1.2, TLSv1.3]
	ssl.endpoint.identification.algorithm = https
	ssl.engine.factory.class = null
	ssl.key.password = null
	ssl.keymanager.algorithm = SunX509
	ssl.keystore.certificate.chain = null
	ssl.keystore.key = null
	ssl.keystore.location = null
	ssl.keystore.password = null
	ssl.keystore.type = JKS
	ssl.protocol = TLSv1.3
	ssl.provider = null
	ssl.secure.random.implementation = null
	ssl.trustmanager.algorithm = PKIX
	ssl.truststore.certificates = null
	ssl.truststore.location = null
	ssl.truststore.password = null
	ssl.truststore.type = JKS
	value.deserializer = class org.apache.pinot.shaded.org.apache.kafka.common.serialization.BytesDeserializer