How to fuzzy match email or telephone by Elasticsearch?

I want to make fuzzy match for email or telephone by Elasticsearch. For example:

match all emails end with @gmail.com

or

match all telephone startwith 136.

I know I can use wildcard,

{
 "query": {
    "wildcard" : {
      "email": "*gmail.com"
    }
  }
}

but the performance is very poor. I tried to use regexp:

{"query": {"regexp": {"email": {"value": "*163\.com*"} } } }

But doesn't work.

Is there better way to make it?

curl -XGET localhost:9200/user_data

{
    "user_data": {
        "aliases": {},
        "mappings": {
            "user_data": {
                "properties": {
                    "address": {
                        "type": "string"
                    },
                    "age": {
                        "type": "long"
                    },
                    "comment": {
                        "type": "string"
                    },
                    "created_on": {
                        "type": "date",
                        "format": "dateOptionalTime"
                    },
                    "custom": {
                        "properties": {
                            "key": {
                                "type": "string"
                            },
                            "value": {
                                "type": "string"
                            }
                        }
                    },
                    "gender": {
                        "type": "string"
                    },
                    "name": {
                        "type": "string"
                    },
                    "qq": {
                        "type": "string"
                    },
                    "tel": {
                        "type": "string"
                    },
                    "updated_on": {
                        "type": "date",
                        "format": "dateOptionalTime"
                    },
                }
            }
        },
        "settings": {
            "index": {
                "creation_date": "1458832279465",
                "uuid": "Fbmthc3lR0ya51zCnWidYg",
                "number_of_replicas": "1",
                "number_of_shards": "5",
                "version": {
                    "created": "1070299"
                }
            }
        },
        "warmers": {}
    }
}

the mapping:

{
  "settings": {
    "analysis": {
      "analyzer": {
        "index_phone_analyzer": {
          "type": "custom",
          "char_filter": [ "digit_only" ],
          "tokenizer": "digit_edge_ngram_tokenizer",
          "filter": [ "trim" ]
        },
        "search_phone_analyzer": {
          "type": "custom",
          "char_filter": [ "digit_only" ],
          "tokenizer": "keyword",
          "filter": [ "trim" ]
        },
        "index_email_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [ "lowercase", "name_ngram_filter", "trim" ]
        },
        "search_email_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [ "lowercase", "trim" ]
        }
      },
      "char_filter": {
        "digit_only": {
          "type": "pattern_replace",
          "pattern": "\\D+",
          "replacement": ""
        }
      },
      "tokenizer": {
        "digit_edge_ngram_tokenizer": {
          "type": "edgeNGram",
          "min_gram": "3",
          "max_gram": "15",
          "token_chars": [ "digit" ]
        }
      },
      "filter": {
        "name_ngram_filter": {
          "type": "ngram",
          "min_gram": "3",
          "max_gram": "20"
        }
      }
    }
  },
  "mappings" : {
    "user_data" : {
      "properties" : {
        "name" : {
          "type" : "string",
          "analyzer" : "ik"
        },
        "age" : {
          "type" : "integer"
        },
        "gender": {
          "type" : "string"
        },
        "qq" : {
          "type" : "string"
        },
        "email" : {
          "type" : "string",
          "analyzer": "index_email_analyzer",
          "search_analyzer": "search_email_analyzer"
        },
        "tel" : {
          "type" : "string",
          "analyzer": "index_phone_analyzer",
          "search_analyzer": "search_phone_analyzer"
        },
        "address" : {
          "type": "string",
          "analyzer" : "ik"
        },
        "comment" : {
          "type" : "string",
          "analyzer" : "ik"
        },
        "created_on" : {
          "type" : "date",
          "format" : "dateOptionalTime"
        },
        "updated_on" : {
          "type" : "date",
          "format" : "dateOptionalTime"
        },
        "custom": {
          "type" : "nested",
          "properties" : {
            "key" : {
              "type" : "string"
            },
            "value" : {
              "type" : "string"
            }
          }
        }
      }
    }
  }
}