Vennela Danda

Master's

Computer Science

M&T Bank AZ

Data Engineer

- Developing robust ETL pipelines using Apache Spark, Python, and SQL to integrate diverse financial data - Designing and implementing robust data quality frameworks using Informatica and Talend, reducing data errors - Conducting root cause analysis of performance issues and data discrepancies using Azure Operator Insights - Contributing to improving operational efficiency through data-driven insights, enabling proactive decisionmaking and strategic resource allocation based on real-time analytics - Implementing mobile-friendly dashboards and reports in Power BI, providing executives and stakeholders with access to critical financial insights anytime, anywhere, and on any device - Executing real-time data processing and analytics using Azure Databricks Streaming, enabling immediate - Developing ER diagrams to represent the relationships between entities such as customers, accounts - Executing UAT test scripts using established methodologies and tools (JIRA, TestRail) to validate ETL pipelines - Leveraging MapReduce programming model to process large volumes of financial data efficiently across - Using Matplotlib to create a variety of charts and plots to visualize financial data trends, such as line charts for time series analysis of transaction volumes or bar charts for comparing account balances