Adept Sr. Cloud Data Engineer with a proven track record at multiple clients, specializing in real-time analytics and ETL development in both on-premises environments like Microsoft and Oracle to cloud solutions like AZURE, AWS and Google Cloud (GCP). Around 9 years of IT experience in Data Engineering, System Analysis, Design, Development, Implementation and testing and support of Databases, Data Warehouse Applications, Data Visualization, technologies using Azure Synapse Analytics, Data Factory, Data Lake, Blob, Postgres, AWS tools, Google Cloud, SQL DW, SQL, Power BI, SSRS, SSAS, SSIS. Expert in data migration and quality assurance, I led a 20% reduction in processing times through performance tuning. Designing and implementing cloud data architectures, ETL pipelines, and data warehouses to support business-critical applications. Experience Integrating Google Cloud resources, including BigQuery, Cloud Pub/Sub, Cloud Storage, and Cloud Functions, to build end-to-end data pipelines that automated data flow and improved data accessibility. Participation of Integrations between Google Cloud databases (BigQuery, Cloud SQL) and external services, optimizing data synchronization and minimizing downtime. Applied best practices in schema design for BigQuery (e.g., denormalization, data flattening) to reduce query complexity and improve performance. Automated the optimization of long-running and resource-heavy queries using BigQuery’s query execution and performance monitoring tools, enabling better resource management and faster results. Excellent in High Level Design of ETL Packages and SSIS Packages for integrating data using OLE DB connection from heterogeneous sources like (Excel, CSV and flat files, MS Access, SAS, Oracle, DB2, CRM) by using multiple transformations provided by SSIS such as Data Conversion, Conditional Split, Bulk Insert, Derived Column, Merge, Merge Join and Union all. Implemented Copy activity, Dataflow, Trigger in Azure Data Factory Pipeline Activities for On - cloud ETL processing. Strong understanding of database structures, theories, principles, and practices with a knack for writing complex SQL queries. Demonstrated success in working collaboratively with cross-functional teams to deliver optimal solutions that align with business objectives. Noteworthy contributions include streamlining data processes and improving system performance efficiency.