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Jyothsna User

@jyothsnauser1

Azure Data Engineer at Accenture building Azure ETL pipelines and analytics-ready datasets.

India
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At Accenture, I design and implement Azure Data Factory pipelines that move and transform data across Azure Data Lake, Azure Blob Storage, and Azure SQL Database.

I build Databricks applications with PySpark and Spark SQL, using the Bronze, Silver, and Gold layers to prepare analytics-ready datasets. I also tune SQL queries and add pipeline tests to check data quality.

In an earlier Accenture role, I helped migrate data from on-premise SQL to an Azure SQL data warehouse. I also used Azure Key Vault to secure pipeline credentials and configured Blob Storage tiers and lifecycle policies to reduce storage costs.

Experience

Work history, roles, and key accomplishments

Accenture logoAC
Current

Azure Data Engineer

Dec 2023 - Present (2 years 10 months)

Designed and implemented scalable ETL pipelines in Azure Data Factory, developed Spark applications in Databricks, and applied Medallion Architecture to deliver analytics-ready datasets. Collaborated with cross-functional stakeholders and engineered CI/CD pipelines using Azure DevOps.

Education

Degrees, certifications, and relevant coursework

SC

Sridevi Women's Engineering College

Bachelor of Technology, Electrical and Electronical Engineering

2018 - 2022

Grade: 7.8

Pursued a Bachelor of Technology with a specialization in Electrical and Electronical Engineering, achieving a CGPA of 7.8.

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