Designed and developed multiple enterprise-level data integration and business intelligence applications for banking and finance, driving €10 billion in annual revenue using technologies of Azure, Azure Data factory, Azure SQL Database, Azure Data lake and Azure Devops.Implemented Databricks notebooks using Pyspark to construct transformations for a substantial 250 TB dataset, optimizing big data processing and analysis.Developed PowerBI Dashboards to turn unrelated sources of data into coherent, visually immersive providing data analysis and visualization resulted in a 15% increase in operational efficiency.Implemented extraction on global Financial Institution structured and unstructured data sources for further data storage and data processing with the help of Azure storage and retrieval services. Performed transformation on extracted data to improve data quality by data cleansing, data validation and data preparation for data integration, migration and warehousingUsed transformed data from the staging area to load into the target data warehouse using Full load and incremental load. Provided data visualization and insights on loan approval, fraud detection, investment and asset returns.Performed Unit test and System Integration test to verify and validate developed solutions. Help on code review with methodical assessments of code designed to identify bugs, increase code quality, and help developers learn the source code. Collaborated cross-functionally to enhance product processing, delivery, and scalability.Facilitated collaboration and communication across teams, enabling data-driven decision-making and insights.