Performance issue running mongodb aggregation - database

Question

I need to run a query that joins documents from two collections, I wrote an aggregation query but it takes too much time when running in the production database with many documents. Is there any way to write this query in a more efficient way?
Query in Mongo playground: https://mongoplayground.net/p/dLb3hsJHNYt
There are two collections users and activities. I need to run a query to get some users (from users collection), and also their last activity (from activities collection).
Database:
db={
"users": [
{
"_id": 1,
"email": "user1#gmail.com",
"username": "user1",
"country": "BR",
"creation_date": 1646873628
},
{
"_id": 2,
"email": "user2#gmail.com",
"username": "user2",
"country": "US",
"creation_date": 1646006402
}
],
"activities": [
{
"_id": 1,
"email": "user1#gmail.com",
"activity": "like",
"timestamp": 1647564787
},
{
"_id": 2,
"email": "user1#gmail.com",
"activity": "comment",
"timestamp": 1647564834
},
{
"_id": 3,
"email": "user2#gmail.com",
"activity": "like",
"timestamp": 1647564831
}
]
}
Inefficient Query:
db.users.aggregate([
{
// Get users using some filters
"$match": {
"$expr": {
"$and": [
{ "$not": { "$in": [ "$country", [ "AR", "CA" ] ] } },
{ "$gte": [ "$creation_date", 1646006400 ] },
{ "$lte": [ "$creation_date", 1648684800 ] }
]
}
}
},
{
// Get the last activity within the time range
"$lookup": {
"from": "activities",
"as": "last_activity",
"let": { "cur_email": "$email" },
"pipeline": [
{
"$match": {
"$expr": {
"$and": [
{ "$eq": [ "$email", "$$cur_email" ] },
{ "$gte": [ "$timestamp", 1647564787 ] },
{ "$lte": [ "$timestamp", 1647564834 ] }
]
}
}
},
{ "$sort": { "timestamp": -1 } },
{ "$limit": 1 }
]
}
},
{
// Remove users with no activity
"$match": {
"$expr": {
"$gt": [ { "$size": "$last_activity" }, 0 ] }
}
}
])
Result:
[
{
"_id": 1,
"country": "BR",
"creation_date": 1.646873628e+09,
"email": "user1#gmail.com",
"last_activity": [
{
"_id": 2,
"activity": "comment",
"email": "user1#gmail.com",
"timestamp": 1.647564788e+09
}
],
"username": "user1"
},
{
"_id": 2,
"country": "US",
"creation_date": 1.646006402e+09,
"email": "user2#gmail.com",
"last_activity": [
{
"_id": 3,
"activity": "like",
"email": "user2#gmail.com",
"timestamp": 1.647564831e+09
}
],
"username": "user2"
}
]
I'm more familiar with relational databases, so I'm struggling a little to run this query efficiently.
Thanks!