How to get last non null values and aggregated non null values by timestamp from event sourcing JSONB column in PostgreSQL?

I'm working with event sourced data where all of the important fields are combined to a JSONB column and many of the keys are missing from most of the database rows.

I would want to get:

1. Aggregated combined values of included arrays in the JSONB field (see ingredients in the example)
2. Latest non-null value according to timestamp

I tried this on my own and I was able to produce a example which generates exactly what I would want to achieve here but it looks rather ugly and I'm wondering how to make following query better.

Schema (PostgreSQL v15)

CREATE TABLE events (
    id SERIAL PRIMARY KEY,
    identifier VARCHAR(255),
    timestamp TIMESTAMP WITH TIME ZONE,
    event_data JSONB
);
INSERT INTO events (identifier, timestamp, event_data)
VALUES
    ('12345', '2019-01-01T00:00:00.000Z', '{"target": "99999999"}'),
    ('12345', '2019-01-01T12:00:00.000Z', '{"ingredients": ["Banana", "Strawberry"]}'),
    ('12345', '2019-01-03T00:00:00.000Z', '{"target": "12345678", "user": "peterpan"}'),
    ('12345', '2019-01-04T00:00:00.000Z', '{"ingredients": ["Melon"], "user": "robinhood"}'),
    ('67890', '2019-01-03T00:00:00.000Z', '{"target": "0000", "user": "mickeymouse"}'),
    ('67890', '2019-01-04T00:00:00.000Z', '{"ingredients": ["Potato"]}');

---

Query #1

WITH events_flattened AS (
    SELECT
        identifier,
        timestamp,
        event_data->>'target' AS target,
        event_data->>'user' AS user,
        elem.part
    FROM events
    LEFT JOIN LATERAL jsonb_array_elements(event_data->'ingredients') elem(part) ON true
    ORDER BY timestamp DESC
)

SELECT
    identifier,
    (ARRAY_REMOVE(ARRAY_AGG(e.target),NULL))[1] as target,
    (ARRAY_REMOVE(ARRAY_AGG(e.user),NULL))[1] as user,
    ARRAY_REMOVE(ARRAY_AGG(part),NULL) as ingredients,
    MAX(timestamp) as latest_update
FROM events_flattened e
GROUP BY identifier;

For the answer to be helpful it should produce exactly same result as seen on this table:

identifier	target	user	ingredients	latest_update
12345	12345678	robinhood	Melon,Strawberry,Banana	2019-01-04T00:00:00.000Z
67890	0000	mickeymouse	Potato	2019-01-04T00:00:00.000Z

---

View on DB Fiddle

I'm trying to determine which kind of query and indexes would be beneficial to get exactly this kind of data out from this table?