Start by ensuring your Excel data is clean and well-organized. Each column should have a clear, descriptive header, and the data should be consistent. Remove any empty rows or columns and check for any data anomalies or inconsistencies that could cause issues during the import process.

Save your Excel file as a CSV file. In Excel, go to "File" > "Save As" and select "CSV (Comma delimited) (.csv)" as the file format. This format is easier for scripts to process compared to Excel's native format.

Download and install Elasticsearch on your machine or server. Follow the official Elasticsearch installation guide for your operating system. Once installed, start Elasticsearch, which by default runs on `http://localhost:9200`. Ensure that Elasticsearch is running properly by accessing this URL in a web browser or using a curl command.

Write a Python script to read the CSV file and parse its contents. Use Python's built-in `csv` module to open and read the CSV file line by line. Here's a simple example to get you started:
```python
import csv

def read_csv(file_path):
with open(file_path, mode='r', newline='', encoding='utf-8') as file:
reader = csv.DictReader(file)
data = [row for row in reader]
return data

csv_data = read_csv('yourfile.csv')
```

Convert the parsed CSV data into JSON format, which is required by Elasticsearch. You can do this by iterating over each row of CSV data and using Python's `json` module to format it:
```python
import json

json_data = json.dumps(csv_data, indent=4)
print(json_data) # For verification
```

Use the `requests` library in Python to send the JSON data to Elasticsearch. You’ll need to iterate over the JSON objects and use the Elasticsearch Bulk API for efficiency. Here’s how you can achieve this:
```python
import requests

def index_data_to_elasticsearch(json_data, index_name):
headers = {'Content-Type': 'application/json'}
for i, record in enumerate(json_data):
response = requests.post(f'http://localhost:9200/{index_name}/_doc/{i}', headers=headers, data=json.dumps(record))
if response.status_code not in [200, 201]:
print(f"Error indexing data: {response.text}")

index_data_to_elasticsearch(csv_data, 'your_index_name')
```

After indexing, verify that your data is correctly stored in Elasticsearch. You can do this by sending a GET request to the Elasticsearch server:
```python
response = requests.get('http://localhost:9200/your_index_name/_search')
if response.status_code == 200:
print("Data indexed successfully:")
print(response.json())
else:
print("Failed to retrieve data:", response.text)
```
This request retrieves all documents from your index for verification.

By following these steps, you can successfully move data from an Excel file to Elasticsearch without relying on third-party connectors or integrations.