Jagadeesh Kommineni

Data Engineer @Edward Jones

MO, US

Engineered and optimized ETL pipelines using Azure Data Factory, integrating financial data from SQL Server, Oracle, and NoSQL databases into centralized and scalable data warehouses.• Designed and implemented complex data models on Azure SQL, boosting the efficiency of data analytics and reporting processes.• Developed custom data transformation scripts in Python, automating extraction and transformation processes to enhance data processing efficiency.• Created interactive financial dashboards using Tableau and Power BI, translating complex datasets into actionable insights for key business stakeholders.• Led data quality initiatives by implementing data validation, cleansing, and governance processes, ensuring the consistency, integrity, and accuracy of critical financial data.• Collaborated with cross-functional teams to integrate machine learning models within data pipelines, enabling advanced financial forecasting and risk assessment.• Automated deployment processes using Azure DevOps and CI/CD pipelines, streamlining the development and deployment of robust data engineering solutions.• Analyzed and cleansed raw data in Databricks using PySpark to ensure data quality and accuracy, leading to a 30% improvement in data reliability and consistency.• Performed in-depth data analysis to identify trends and patterns, providing actionable insights to drive informed business decision-making.