Shiv Bhadouria Email & Phone Number

• Examined large datasets with SQL to identify trends and draw insights, resulting in a 29% increase in operational efficiency• Cross-functional collaboration with Data Transformation teams to transform data into compatible forms, resulting in a 25% boost in data accessibility and analytical efficiency across all departments• Addressed with senior developers and stakeholders to create and maintain 35+ Dashboards, cutting data analysis time by 15% and improving decision-making efficiency across multiple departments• Utilized Azure Data Lake Storage (ADLS Gen2) to manage data storage, reducing storage costs• Engineered robust ETL pipelines in Azure Data Factory featuring diverse Control Flow activities (Copy, Execute, Get Metadata, Lookup, If Condition, For Each); enhanced data processing efficiency by 40%, reducing processing time by 30%