Data Warehouse Design and Development: Design and develop robust data warehouse solutions, incorporating ETL/ELT (Extract, Transform, Load) processes to consolidate data from disparate sources into a unified repository.
ETL Development: Create efficient ETL pipelines to extract data from various sources, transform it according to business rules and requirements, and load it into target databases or data warehouses.
Data Modeling and Architecture: Design and implement scalable data models and architectures, ensuring optimal performance for querying, reporting, and analysis.
Cloud Data Solutions: Leverage cloud-based platforms such as Azure SQL Database, Azure Data Factory, and AWS Redshift to build scalable and cost-effective data solutions, enabling seamless integration, storage, and analysis of large volumes of data.
Data Integration and Migration: Facilitate seamless data integration and migration projects by leveraging custom developed and cloud-based tools, ensuring data consistency, accuracy, and integrity throughout the process.
Performance Tuning and Optimization: Optimize database and ETL/ELT performance through query optimization, index tuning, partitioning strategies, and workload management techniques, enhancing overall system efficiency and responsiveness.