Leaderboard Deploy agents

When performing multiple similar operations (database queries, Redis calls, job enqueues, or data lookups), batch them together or eliminate redundancy to reduce overhead and improve performance.

Common patterns to optimize:

• Job enqueueing: Use perform_bulk instead of multiple perform_async calls
• Redis operations: Pipeline multiple Redis commands instead of separate round-trips
• Data lookups: Cache or memoize results to avoid repeated parsing/querying
• Duplicate operations: Reuse lookup results instead of performing the same operation multiple times

Example transformation:

# Before: Multiple individual operations
@domain_block_event.affected_local_accounts.find_each do |account|
  LocalNotificationWorker.perform_async(account.id, event.id, 'AccountRelationshipSeveranceEvent', 'severed_relationships')
end

# After: Batched operations
notification_jobs_args = []
@domain_block_event.affected_local_accounts.find_in_batches do |accounts|
  accounts.each do |account|
    notification_jobs_args.push([account.id, event.id, 'AccountRelationshipSeveranceEvent', 'severed_relationships'])
  end
  LocalNotificationWorker.perform_bulk(notification_jobs_args)
  notification_jobs_args.clear
end

This approach reduces network round-trips, memory usage, and processing overhead while maintaining the same functionality.