Consuming from rabbitmq using Celery - rabbitmq

Question

I am using Celery with Rabbitmq broker on Server A. Some tasks require interaction with another server say, Server B and I am using Rabbitmq queues for this interaction.
Queue 1 - Server A (Producer), Server B (Consumer)
Queue 2 - Server B (Producer), Server A (Consumer)
My celery is unexpectedly hanging and I have found the reason to be incorrect implementation of Server A consumer code.
channel.start_consuming() keeps polling Rabbitmq as expected however putting this in a celery task creates multiple pollers which don't expire. I can add expiry but the time completion for the data being sent to Server B cannot be guaranteed. The code pasted below is one method I used to tackle the issue but I am not convinced this is best solution.
I wish to know what I am doing wrong and what is the right way to implement this because I have failed searching for articles on the web. Any tips, insights and even links to articles would be extremely helpful.
Finally, my code -
#celery.task
def task_a(data):
do_some_processing
# Create only 1 Rabbitmq consumer instance to avoid celery hangups
task_d.delay()
#celery.task
def task_b(data):
do_some_processing
if data is not None:
task_c.delay()
#celery.task
def task_c():
data = some_data
data = json.dumps(data)
conn_params = pika.ConnectionParameters(host=RABBITMQ_HOST)
connection = pika.BlockingConnection(conn_params)
channel = connection.channel()
channel.queue_declare(queue=QUEUE_1)
channel.basic_publish(exchange='',
routing_key=QUEUE_1,
body=data)
channel.close()
#celery.task
def task_d():
def queue_helper(ch, method, properties, body):
'''
Callback from queue.
'''
data = json.loads(body)
task_b.delay(data)
conn_params = pika.ConnectionParameters(host=RABBITMQ_HOST)
connection = pika.BlockingConnection(conn_params)
channel = connection.channel()
channel.queue_declare(queue=QUEUE_2)
channel.basic_consume(queue_helper,
queue=QUEUE_2,
no_ack=True)
channel.start_consuming()
channel.close()