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Nitesh
- Rate 96 GHS
- Response 1h
96 GHS/hr
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- Python
Prudent Azure Data Engineer, teaching --> Python | Automation | Create Data Lake using Python Scripts & SQL | Normalize & Standardize raw data | REST API calling | Data ingestion| Docker | Azure Servi
- Python
Lesson location
About Nitesh
Prudent Azure Data Engineer having 7+ years of experience in developing, maintaining and automating Data Engineering solutions using Microsoft Azure cloud technologies and, using languages like Python, C#, etc, while normalizing different forms of data to standard SQL tables. Created Power BI reports for data analysis and, monitoring our scripts deployed in Azure Containers via Docker. Also, created a centralized data-center (Data-lake) for big organizations. I want to teach students because its my passion, in my current organization too I love to conduct sessions on different technologies. Also, the interaction with different people always help me learn new things. Teaching is always a two way process!
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +20
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
University education
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre school
Beginner
Intermediate
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Professionel
Others
Child
- English
All languages in which the lesson is available :
English
In this class you can expect at least following:
1. Python Scripts for Data Normalization & Standardization.
2. Python scripts for handling REST API.
3. Converting JSON/ XML/ CSV/ Excel or any other data type data to standard SQL tables.
4. Data manipulation using DataFrames.
5. Docker run time environment to allow your code to be machine friendly/ independent.
6. Automate Data ingestion scripts using CRON.
7. Running SQL commands in Python.
8. Integrating data of different applications using REST APIs.
9. Creating our own SQL based data-lake.
10. Configuration File creation.
11. Use of Azure Key Vault.
12. Azure DataBricks.
13. Azure Blob storage.
14. Azure SQL servers.
15. Azur Data-lake.
16. Data visualization using Power BI.
17. Data Comparison methodologies.
18. Portainer for keeping your configuration files secured.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
1
Nitesh is one of the best teachers I have come across in my life. He taught me Azure data engineering tech stack and helped me in clearing Microsoft Azure Data Engineering Associate certification. The way he explains concepts in conjunction with their practical aspects is just too engaging and enriching. I enjoyed each and every part of the course and can now solve most of the use-cases independently, all because of Nitesh's guidance.
I will also be taking data science classes from him very soon. Highly recommended tutor!View more recommendations
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Rates
Rate
- 96 GHS
Pack prices
- 5h: 480 GHS
- 10h: 960 GHS
online
- GHS96/h
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