OSError: Couldn't deserialize thrift: No more data to read. Deserializing page header failed

I am fetching data from event hub and uploading it to blob with blob_type AppendBlob it appending correctly but when i download and try to read that parquet file then it showing this error OSError: Couldn't deserialize thrift: No more data to read. Deserializing page header failed. and sometime this error also Unexpected end of stream: Page was smaller (4) than expected (13) could anyone help me in understanding both error and help me in solving former error.

import asynciofrom datetime import datetimeimport timefrom datetime import datetimeimport pandas as pdfrom io import BytesIOfrom azure.storage.blob import BlobServiceClientfrom azure.eventhub.aio import EventHubConsumerClientfrom azure.eventhub.extensions.checkpointstoreblobaio import (BlobCheckpointStore)EVENT_HUB_CONNECTION_STR = ""EVENT_HUB_NAME = ""BLOB_STORAGE_CONNECTION_STRING = ""BLOB_CONTAINER_NAME = ""async def on_event(partition_context, event):    global finalDF    try:        data = event.body_as_json(encoding='UTF-8')        df=pd.DataFrame(data,index=[0])        finalDF=pd.concat([finalDF,df])        if finalDF.shape[0]>100:            uniqueBPIds=(finalDF['batteryserialnumber'].unique()).tolist()            parquet = BytesIO()            for i in uniqueBPIds:                tempdf=finalDF[finalDF['batteryserialnumber']==i]                tempdf.to_parquet(parquet)                parquet.seek(0)                blob_service_client = BlobServiceClient.from_connection_string(BLOB_STORAGE_CONNECTION_STRING)                blob_path = f'new8_{year}/{month}/{i}/{i}_{year}_{month}_{day}.parquet'                blob_client = blob_service_client.get_blob_client(container=BLOB_CONTAINER_NAME, blob=blob_path)                blob_client.upload_blob(data = parquet,overwrite=False,blob_type='AppendBlob')            finalDF=pd.DataFrame()            print('done')    except Exception as e:        print('ERROR',e)    await partition_context.update_checkpoint(event)async def main():    checkpoint_store = BlobCheckpointStore.from_connection_string(        BLOB_STORAGE_CONNECTION_STRING, BLOB_CONTAINER_NAME    )    client = EventHubConsumerClient.from_connection_string(        EVENT_HUB_CONNECTION_STR,        consumer_group="$Default",        checkpoint_store=checkpoint_store,        eventhub_name=EVENT_HUB_NAME,    )    async with client:        await client.receive(on_event=on_event, starting_position="-1")if __name__ == "__main__":    k=0    finalDF = pd.DataFrame()    current_datetime = datetime.now()    year, month, day = current_datetime.year, current_datetime.month, current_datetime.day    loop = asyncio.get_event_loop()    loop.run_until_complete(main())