As a Senior Consultant with extensive experience in Azure Cloud services, SAP BI, HANA, and data engineering, I have led numerous successful projects and teams. My expertise includes ETL processes, data orchestration, and implementing robust data solutions. I am passionate about leveraging my skills to transition into a Data Engineering Manager role, where I can drive strategic initiatives, lead high-performing teams, and deliver impactful data solutions. With over 9 years of professional experience, I excel in analysis, development, maintenance, enhancements, and production support. My expertise spans Microsoft Azure Cloud services, SAP BW4HANA, PaPM, and various ETL methodologies. I am skilled in client requirement analysis, data analysis, project documentation, and business analysis, supported by excellent communication, teamwork, and interpersonal skills. -Leading, mentoring, and developing a team of data engineers to foster a collaborative and high-performance environment. -Planning, coordinating, and managing data engineering projects to ensure timely delivery within scope and budget. -Overseeing the design, development, and maintenance of data pipelines and data warehouses while ensuring data quality, governance, and security standards are met. -Developing and implementing data engineering strategies aligned with business goals and identifying opportunities for process improvements. -Collaborating with data scientists, analysts, and other stakeholders to understand data requirements and ensuring seamless data integration. Key Skills: Azure Cloud: Azure Data Factory, Databricks, ADLS Gen2, Azure Functions, Azure App Services, CI/CD pipelines. SAP PaPM: Production issue resolution, data analysis, profitability analysis, performance measurement. SAP BW4HANA/BW: Data modeling, InfoCubes, Data Store Objects, PSA, Process Chains, BEx Reports. SAP HANA: Data modeling, Attribute views, Analytic views, Calculation views, SQL script. Automation: Developed tools for job monitoring, error notifications, flat file uploads, and data reconciliation.