How to get the pymongo collections based on updatedtimestamp in unix format

I have a MongoDB collection which is having updatedtimestamp column. I am passing from and to date using an external yaml file. But updated timestamp column is in the UNIX timestamp.

Any suggestions on this? Or anyway to bring the latest records based on updatedtimestamp which is captured in unixtimestamp?

data format

id:1223344444444
createTimestamp:1640845784796
updateTimestamp:1640845784796
deleteTimestamp:null
uuid:"abcdefgh"

YAML file

collection_name: 
incremental: true
date_field: updateTimestamp
start_date: 2022-01-01
end_date: 2022-01-02
hours_interval: 24

Incremental query

# Build interval dates
            initial_dt_t = datetime.combine(day, datetime.min.time()) + timedelta(
                minutes=lower_limit
            )
            final_dt_t = datetime.combine(day, datetime.min.time()) + timedelta(
                minutes=upper_limit
            )

            initial_dt = mktime(initial_dt_t.timetuple())
            final_dt = mktime(final_dt_t.timetuple())

            print("initial-dt")
            print(initial_dt_t)
            print(final_dt_t)

            print("unix")
            print(initial_dt)
            print(final_dt)

            # Connect to MongoDB
            mongo_client = MongoClient(MONGODB_URI)
            mongo_db = mongo_client[MONGODB_NAME]
            collection = mongo_db[COLLECTION_NAME]

            # Build aggregation pipeline for MongoDB
            or_list = []
            print("coming to query")

            # Check if there is a single field
            if "date_field" in config.keys():
                or_list.append(
                    {
                        config["date_field"]: {
                            "$gte": initial_dt,
                            "$lt": final_dt,
                        }
                    }
                )

            # Check if there are multiple date fields
            if "date_fields" in config.keys():
                for date_field in config["date_fields"]:
                    or_list.append(
                        {
                            config["date_field"]: {
                                "$gte": initial_dt,
                                "$lt": final_dt,
                            }
                        }
                    )

            # Get data from MongoDB
            query = {"$or": or_list}

            # Keep track of batch number
            batch_number = 0
            print("chunk")
            data = pd.DataFrame(list(collection.find(query)))
            print("dataframe")
            print(data)