Testimonials

  • Pinned
    Aditi has very good hold on explaining things. Very informative. We talked about data engineering topics- AWS, data quality, ETL pipelines. She helped me with all the doubts and information.
    Soumya Bhimakkanavar

Services

Video meeting . 15 mins

Resume Review

Resume Review for Data Engineering Interview
700
Video meeting . 30 mins
1,199
Video meeting . 60 mins
5

1:1 mentorship call for Data Engineering

Career related queries in detail for Data Engineering
1,800
Popular
Video meeting . 20 mins

QA to Data Engineering - Beginner Guidance

Quick session to hear your blockers
500
Video meeting . 60 mins

Turn Your QA Experience into a DE Advantage

Detailed session on step by step path
1,250

Ratings and feedback

5/5
1 ratings
1
Testimonials

About me

Email: aditifatwani131003@gmail.com I am devoted to and excel in three areas—each area strengthening the others: Data Analytics; ETL Processes on RDMS architecture; and ETL Processes on Big data architecture. Let me expand a bit: Because I’m passionate about data analysis and can map Business Requirements as a Business Analyst and as Data Analyst then translate them into data insights. I am always interested in ETL as I see it as a critical component for understanding the backend data flow in an organization and how data from multiple domains enter an enterprise. I focus on key results, and quickly adapt to new skills. I am obsessed with staying organized and making everyone's life easier. The same applies to the workplace as well. Feel free to reach out if you need any help in your tech job, skill set, or projects. Currently working on data migration to AWS Cloud which deals which data insights as end result. Automating the processes concerning Data Extraction and Data Transformation also falls under my expertise. Professional Skills or Tools: Agile Development | ETL | SQL | BIG DATA | HIVE | PYTHON | EXCEL | POM | POSTMAN | AWS | Pentaho | Oracle | KAFKA | Docker & Kubernetes | Jenkins | Analytics | Cloud | Testing | Machine Learning | Visualization Domain Knowledge Healthcare | Retail | Agriculture