Data Engineering
Data Integration: Integrating data from multiple sources into a unified system or data warehouse.
ETL (Extract, Transform, Load): Designing and implementing processes to extract data from various sources, transform it according to business rules, and load it into a target database or data warehouse
Data Engineering
Data Pipeline Development: Creating and managing automated workflows for the efficient and reliable movement of data between systems and processes.
Data Warehousing: Designing and managing data storage solutions that support analytics and reporting needs, ensuring data availability and performance.
Data Engineering
Big Data Processing: Handling and processing large volumes of data using distributed computing frameworks to perform complex analytics and derive insights.
