Priya Chaurasia
Bengaluru
Summary
Data Engineering and Analytics professional with over 3 years of experience in designing and implementing end-to-end data solutions on Microsoft Azure. Skilled in building data pipelines, data models, and Power BI dashboards using Azure Data Factory, Azure Databricks, SQL, PySpark, and Power BI. Experienced in cloud migration, data transformation optimization, and dashboard performance tuning. Adept at working with stakeholders to translate business needs into scalable data solutions, and delivering actionable insights.
Overview
3
3
years of professional experience
Work History
Data Engineer
Deloitte
Bangalore
06.2022 - Current
- Created and optimized ETL pipelines using Azure Data Factory to streamline data ingestion from multiple sources into Azure Data Lake Storage
- Developed data transformation workflows in Azure Databricks utilizing PySpark and SQL, enhancing processing efficiency for large-scale datasets.
- Streamlined job scheduling, orchestration, and monitoring of pipelines utilizing Azure triggers and DevOps CI/CD pipelines.
- Designed and implemented data models (fact/dimension tables, star schema, tabular models) to support analytics and reporting.
- Built end-to-end BI solutions for the FMCG domain.
- Enhanced Power BI performance by optimizing DAX measures, reducing report load times by 40%.
Education
B.Tech - Electronics And Communications Engineering
NIT Durgapur
West Bengal06-2022
Skills
- Cloud platforms: Azure Data Factory, Azure Databricks, Azure Data Lake, Delta Lake, Azure SQL
- Programming languages: SQL, Python, PySpark, SparkSQL
- Data modeling: Fact/dimension modeling, ETL/ELT processes, data quality assurance
- Business intelligence: Microsoft Power BI, DAX, dashboard creation
- DevOps tools: Azure DevOps, GitHub
- Other tools: Tabular Editor, DAX Studio, JIRA
Timeline
Data Engineer
Deloitte
06.2022 - Current
B.Tech - Electronics And Communications Engineering
NIT Durgapur
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