Can I have 2 analyzer for the same field in the document?

Elastic Stack Elasticsearch
1

I am using Elasticsearch for a search jobs. Jobs have Title, Description, company and Location, as shown below:

I am using english_analyzer for Title and Description and keyword_analizer for company and location, as shown below (I am using NEST):

    [ElasticsearchType(Name = "jobdocument")]
    public class JobDocument
    {
        // By convention, Id property will become the Id of elastic search document, Id is mapped to AdBaseId
        public long Id { get; set; }
		
        [Keyword(Normalizer = "custom_ignore_case_normalizer")]   // keywords => not analyzed, use ignore case normalizer otherwise search would be case sensitive
        public string CompanyName { get; set; }

        [Text(Analyzer = "custom_english_analyzer", SearchAnalyzer = "custom_english_analyzer")]
        public string Title { get; set; }

        [Text(Analyzer = "custom_english_analyzer", SearchAnalyzer = "custom_english_analyzer")]
        public string Description { get; set; }

        [Keyword(Normalizer = "custom_ignore_case_normalizer")]   // keywords => not analyzed, use ignore case normalizer otherwise search would be case sensitive
        public string Locality { get; set; }
    }

And here is the Index creation code:

var createIndexResponse = ElasticClient.CreateIndex(IndexName, c => c
    .Settings(st => st
        .Analysis(an => an
            .Analyzers(anz => anz
                .Custom("result_suggester_analyzer", rsa => rsa
                    .Tokenizer("standard")
                    .CharFilters("html_strip")  // put synonyms_token_filter after lowercase
                    .Filters(new string[] { "english_possessive_stemmer", "lowercase", "synonyms_token_filter", "asciifolding", "stop_words", "english_stemmer", "edge_ngram_token_filter", "unique" })
                )
                .Custom("custom_english_analyzer", ce => ce
                    .Tokenizer("standard")
                    .Filters(new string[] { "english_possessive_stemmer", "lowercase", "synonyms_token_filter", "asciifolding", "stop_words", "english_stemmer", "unique" })
                )
            )
            .Normalizers(nor => nor
                .Custom("custom_ignore_case_normalizer", icn => icn
                    .Filters(new string[] { "lowercase", "asciifolding" })
                )
            )
            .TokenFilters(tfd => tfd
                .EdgeNGram("edge_ngram_token_filter", engd => engd
                    .MinGram(2)
                    .MaxGram(10)
                )
                .Stop("stop_words", sfd => sfd.StopWords(_stopWords))
                .Stemmer("english_stemmer", esd => esd.Language("english"))
                .Stemmer("english_possessive_stemmer", epsd => epsd.Language("possessive_english"))
                .Synonym("synonyms_token_filter", s => s.Synonyms(Synonym.List)) // SynonymsPath
            )
        )
    )
    .Mappings(m => m.Map<JobDocument>(d => d.AutoMap())));

Problem
When I search for terms like: "C#" or ".net" they cannot be found... I assume the reason is English language analyzer would get rid of special characters?

But if I use a keyword_analyzer, then terms like 'programmer' and 'programming' would be treated differently...

Question
How would I address this situation? Does it make sense to have 2 analyzer for Title and Keyword?