Problem whit put information in a column in R

I have 2 dataframes, one dataframe called datos_octubre with 10131000 rows and other dataframe called datos_conductores

I wanna put a new column called operador, this column will be fill by the follow instruction

for( j in 1:100){
for(i in 1:100){
  if ( (datos_octubre$FECHA_GPS[i]== datos_conductores$fecha[i])){
    if (datos_octubre$EQU_CODIGO[i]== datos_conductores$EQU_CODIGO[j]){
      if (datos_octubre$HORA_GPS[i] <= datos_conductores$hora_fin[j]){
        datos_octubre$Operador[i] <- datos_octubre$NOMBRE[j]
      }
    }
  }

this is the structure of dataframe datos_octubre and the head

str(datos_octubre) 'data.frame': 10131530 obs. of 14 variables: $ REP_GPS_CODIGO : Factor w/ 9329105 levels "MI051","MI051_1832614921789237",..: 2 3 4 5 6 7 8 9 10 11 ... $ EQU_CODIGO : chr "MI051""MI051""MI051""MI051" ... $ TRAM_GPS_CODIGO: Factor w/ 4 levels "01","03","05",..: 4 4 4 4 4 4 4 4 4 4 ... $ EVE_GPS_CODIGO : Factor w/ 83 levels "01","02","03",..: 3 3 3 3 3 9 3 3 3 3 ... $ FECHA_GPS : POSIXct, format: "2019-10-01""2019-10-01""2019-10-01""2019-10-01" ... $ HORA_GPS : Factor w/ 86389 levels "-75.6654","-75.6655",..: 16528 16536 16546 16556 16564 16568 16574 16583 16592 16601 ... $ LON_GPS : num -75.7 -75.7 -75.7 -75.7 -75.7 ... $ LAT_GPS : num 4.8 4.8 4.8 4.8 4.8 ... $ VEL_GPS : num 0 0 0 0 0 0 0 0 0 0 ... $ DIR_GPS : int 0 0 0 101 101 101 101 101 101 101 ... $ ACL_GPS : int 0 0 0 0 0 NA 0 0 0 0 ... $ ODO_GPS : int 28229762 28229762 28229762 28229768 28229770 NA 28229770 28229770 28229770 28229770 ... $ ALT_GPS : Factor w/ 120 levels "","\"MI051_1902402005409507",..: 1 1 1 1 1 1 1 1 1 1 ... $ Operador : chr """""""" ... head(datos_octubre) REP_GPS_CODIGO EQU_CODIGO TRAM_GPS_CODIGO EVE_GPS_CODIGO FECHA_GPS HORA_GPS LON_GPS LAT_GPS VEL_GPS DIR_GPS ACL_GPS ODO_GPS ALT_GPS Operador 1 MI051_1832614921789237 MI051 EV 03 2019-10-01 04:35:38 -75.7444 4.79857 0 0 0 28229762
2 MI051_1832614964979379 MI051 EV 03 2019-10-01 04:35:46 -75.7444 4.79857 0 0 0 28229762
3 MI051_1832616366109032 MI051 EV 03 2019-10-01 04:35:56 -75.7444 4.79857 0 0 0 28229762
4 MI051_1832617794914447 MI051 EV 03 2019-10-01 04:36:06 -75.7442 4.79907 0 101 0 28229768
5 MI051_1832619516509591 MI051 EV 03 2019-10-01 04:36:14 -75.7442 4.79908 0 101 0 28229770
6 MI051_1832619543973570 MI051 EV 10 2019-10-01 04:36:18 -75.7442 4.79908 0 101 NA NA

And this is the estructure of datos_conductores and the head

str(datos_conductores) 'data.frame': 16522 obs. of 11 variables: $ fecha : POSIXct, format: "2019-10-01""2019-10-01""2019-10-01""2019-10-01" ... $ equ_id : int 99 99 99 99 99 99 99 99 99 99 ... $ conductor : int 34 34 34 34 34 34 34 65 65 65 ... $ servicio_id: int 533329 533328 533327 533326 533325 533324 533323 533333 533332 533331 ... $ PERA_ID : int 362 362 362 362 362 362 362 107 107 107 ... $ hora_ini : POSIXct, format: "2019-11-28 09:16:16""2019-11-28 08:38:16""2019-11-28 08:00:16""2019-11-28 07:22:16" ... $ hora_fin : POSIXct, format: "2019-11-28 09:21:00""2019-11-28 09:16:16""2019-11-28 08:38:16""2019-11-28 08:00:16" ... $ ruta_id : int 24 24 24 24 24 24 24 24 24 24 ... $ NOMBRE : Factor w/ 85 levels "ALBERT HERNAN ZAPATA RESTREPO",..: 71 71 71 71 71 71 71 53 53 53 ... $ PERA_CEDULA: int 1088253762 1088253762 1088253762 1088253762 1088253762 1088253762 1088253762 10087424 10087424 10087424 ... $ EQU_CODIGO : Factor w/ 36 levels "MI051","MI052",..: 9 9 9 9 9 9 9 9 9 9 ... head(datos_octubre) REP_GPS_CODIGO EQU_CODIGO TRAM_GPS_CODIGO EVE_GPS_CODIGO FECHA_GPS HORA_GPS LON_GPS LAT_GPS VEL_GPS DIR_GPS ACL_GPS ODO_GPS ALT_GPS Operador 1 MI051_1832614921789237 MI051 EV 03 2019-10-01 04:35:38 -75.7444 4.79857 0 0 0 28229762
2 MI051_1832614964979379 MI051 EV 03 2019-10-01 04:35:46 -75.7444 4.79857 0 0 0 28229762
3 MI051_1832616366109032 MI051 EV 03 2019-10-01 04:35:56 -75.7444 4.79857 0 0 0 28229762
4 MI051_1832617794914447 MI051 EV 03 2019-10-01 04:36:06 -75.7442 4.79907 0 101 0 28229768
5 MI051_1832619516509591 MI051 EV 03 2019-10-01 04:36:14 -75.7442 4.79908 0 101 0 28229770
6 MI051_1832619543973570 MI051 EV 10 2019-10-01 04:36:18 -75.7442 4.79908 0 101 NA NA

Also i tried with operator pype but i dont have the result i wanna