Shreshtha Gupta
Wellington, New Zealand
Shreshtha Gupta
Data Analytics & Power BI Dashboard Specialist
Category : Data base
I help businesses turn raw data into clear, actionable insights through custom dashboards, automated pipelines, and scalable data solutions.
With hands-on experience at a major financial institution, I specialise in end-to-end data work — from building ETL pipelines in Azure Data Factory to creating interactive Power BI reports with advanced DAX, field parameters, and dynamic visuals.
What I can do for you:
Power BI dashboards & reports (DAX, Power Query, dynamic visuals)
Python & PySpark data pipelines and transformations
Azure Data Factory ETL pipeline design and optimisation
Data cleaning, modelling, and analysis from complex datasets
Jupyter notebook workflows for automated reporting
Whether you need a one-off dashboard, a recurring data pipeline, or help making sense of messy data — I deliver clean, reliable solutions on time.
Industries: Finance, Banking, Business Intelligence
Tools: Python · PySpark · Power BI · Azure Data Factory · Power Query · SQL · Git
With hands-on experience at a major financial institution, I specialise in end-to-end data work — from building ETL pipelines in Azure Data Factory to creating interactive Power BI reports with advanced DAX, field parameters, and dynamic visuals.
What I can do for you:
Power BI dashboards & reports (DAX, Power Query, dynamic visuals)
Python & PySpark data pipelines and transformations
Azure Data Factory ETL pipeline design and optimisation
Data cleaning, modelling, and analysis from complex datasets
Jupyter notebook workflows for automated reporting
Whether you need a one-off dashboard, a recurring data pipeline, or help making sense of messy data — I deliver clean, reliable solutions on time.
Industries: Finance, Banking, Business Intelligence
Tools: Python · PySpark · Power BI · Azure Data Factory · Power Query · SQL · Git
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
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