Data Engineer
Innovating Tomorrow, Today
Results-driven Data Engineer with over 3.5+ years of experience designing scalable data pipelines, automating ETL/ELT workflows, and enabling data-driven analytics. Proficient in SQL, Python, PySpark, Azure Data Factory, Databricks, and ADLS, with expertise in real-time data processing, data quality, and data governance. Delivered high-impact cloud and on-premises solutions, achieving 40% faster pipelines and 99.9% data accuracy.
Creative & Professional
Developed and optimized 30+ ETL pipelines using Azure Data Factory (ADF) and SSIS, integrating structured and unstructured data from multiple sources into Azure Data Lake.
Improved data processing efficiency by 30% through PySpark-based workflows in Azure Databricks, reducing transformation time and accelerating analytics readiness.
Optimized SQL queries and ETL processes, achieving up to 40% faster data retrieval via indexing, partitioning, and query performance tuning in Azure SQL Database.
Automated cloud-based data solutions using Azure Functions and Python, reducing manual intervention and improving pipeline reliability by 30%.
Collaborated with cross-functional teams to translate complex business requirements into efficient data solutions, improving report generation speed by 40% and enabling faster decision-making.
Automated file validation and reconciliation for 400K+ daily transactions, achieving 99.9% accuracy and reducing investigation time by 60% with a custom-built data lineage dashboard.
Developed and maintained SSIS-based ETL pipelines and SQL Server workflows for internal products, automating data ingestion from multiple sources and improving integration efficiency.
Optimized SQL queries and implemented indexing strategies to enhance data processing performance and ensure high system uptime.
IACSD, Pune
Amravati University