Nitesh - Python teacher - New Delhi
Nitesh - Python teacher - New Delhi

Nitesh's profile, diploma and contact details have been verified by our experts

Nitesh

  • Rate L135
  • Response 1h
Nitesh - Python teacher - New Delhi
  • 5 (1 review)

L135/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
  • Lower Secondary
  • Senior Secondary
  • +15
  • levels :

    Primary

    Lower Secondary

    Senior Secondary

    Post Secondary Education

    Higher Education

    Adult Education

    Bachelor's Degree

    Master's Degree

    Doctorate

    Other

    MBA

    Early Childhood Care & Development

    Beginner

    Intermediate

    Advanced

    Professional

    Other Extracurricular

    Children

  • 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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Rates

Rate

  • L135

Pack prices

  • 5h: L675
  • 10h: L1350

online

  • L135/h

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