Delta Live Tables and ingesting AVRO - databricks

Question

So, im trying to load avro files in to dlt and create pipelines and so fourth.
As a simple data frame in Databbricks, i can read and unpack to avro files, using functions json / rdd.map /lamba function. Where i can create a temp view then do a sql query and then select the fields i want.
--example command
in_path = '/mnt/file_location/*/*/*/*/*.avro'
avroDf = spark.read.format("com.databricks.spark.avro").load(in_path)
jsonRdd = avroDf.select(avroDf.Body.cast("string")).rdd.map(lambda x: x[0])
data = spark.read.json(jsonRdd)
data.createOrReplaceTempView("eventhub")
--selecting the data
sql_query1 = sqlContext.sql("""
select distinct
data.field.test1 as col1
,data.field.test2 as col2
,data.field.fieldgrp.city as city
from
eventhub
""")
However, i am trying to replicate the process , but use delta live tables and pipelines.
I have used autoloader to load the files into a table, and kept the format as is. So bronze is just avro in its rawest form.
I then planned to create a view that listed the unpack avro file. Much like I did above with "eventhub". Whereby it will then allow me to create queries.
The trouble is, I cant get it to work in dlt. I fail at the 2nd step, after i have imported the file into a bronze layer. It just does not seem to apply the functions to make the data readable/selectable.
This is the sort of code i have been trying. However, it does not seem to pick up the schema, so it is as if the functions are not working. so when i try and select a column, it does not recognise it.
--unpacked data
#dlt.view(name=f"eventdata_v")
def eventdata_v():
avroDf = spark.read.format("delta").table("live.bronze_file_list")
jsonRdd = avroDf.select(avroDf.Body.cast("string")).rdd.map(lambda x: x[0])
data = spark.read.json(jsonRdd)
return data
--trying to query the data but it does not recognise field names, even when i select "data" only
#dlt.view(name=f"eventdata2_v")
def eventdata2_v():
df = (
dlt.read("eventdata_v")
.select("data.field.test1 ")
)
return df
I have been working on this for weeks, trying to use different approach's but still no luck.
Any help will be so appreciated. Thankyou