Power BI Restaurant Dashboard Creation

I need a skilled Power BI expert to create a demo dashboard for a Restaurant with fake but REALISTIC COHERENT DEMO data from YOUR side. I have a list of visuals that I need, and these should be presented as a PowerBi File so i can publish as a dashboard.

i need the visuals in a pbix file with an excel file for the demo data that you create

this is a sample dashboard, i want the dashboard design to be similar
https://app.powerbi.com/view?r=eyJrIjoiNzljMTNlODEtYTFkOC00NjkyLTk5NDItODM0ZDEzN2EzMGFmIiwidCI6IjEwZTg0NTRmLWEzZTYtNDI1ZC1iMjQwLTA4ZTA0YzVhNDA1YiIsImMiOjl9

POS + Accounting

1- Statistic on table
2- Statistic on the menu
3- Statistic on the payment
4- Time/ usage
5- Order/ employee
6- Financial
7- Average order size
8- Cancelation
9- Waste
10- Take aways

Data 3: Camera
1- Toilet usage
2- Time spent in toilet
3- Spending time a table
4- Heat map
5- How many people are crossing the location + How many are inside
6- Count of people per hour
7- Male/ Female
8- Average age
9- Person/Table/ hour
10- Starting people to order/ time
11- People smoking/ no smoking
12- VIP Customer/ recurring Customer
13- Timeline

Data 4: DB sensor
1- Noise Level/ hour
2- How many high level over 30/ day/ hour
3- Outdoor noise/ indoor

Data 5: Temperature
1- Room temperature/ hour
2- Number of clients/ temp
3- Number of orders/ temp
4- Items order/ temp

Data 6: Internet usage
1- Usage/ hour
2- Bandwidth/ hour
3- IP/ hour
4- Speed/ hour
5- Type of device

Data 7: Loyalty Program
1- Client Portfolio
2- Recurring clients
3- Items purchased
4- Time for ordering
5- Day of ordering
6- Average of payment
7- Top items purchased
8- Review

Data 8: Review System
1- Happiness by gender
2- Happiness by time/day
3- Item review/time
4- Employee review
5- Age of clients
6- Client portfolio
7- Sentiment analysis
8- Top 10 used words happy category
9- Top 10 used words bad category

Data 9: Online
1- DMs analysis

Data 10: Excel
2- New guest/ recurring Customer
3- Purchase/ Item free
4- Employee breaks/ per day
5- Maintenance reports
6- Marketing of competitors

Data 11: External
1- Weather
2- Day light
3- News
4- Spot events
5- Competitor review
6- Holidays
7- Location Study (2 kms area competitors, bldgs., offices, etc…)
8- Parking availability
9- Table available outdoor
10- Competitor pricing
11- Competitor offers