Data Architecture Design
ETL/ELT Development: Extract, Transform, Load (ETL) or ELT pipelines to move and transform data across systems efficiently.
Data Lake & Data Warehouse Solutions: Implement and manage data lakes and warehouses using cloud platforms like AWS, Azure, and Google Cloud.
Data Integration: Seamlessly integrate data from multiple sources, such as APIs, databases, and applications.
Data Pipeline Automation: Automate data workflows to ensure timely and accurate data availability.
Data Migration: Migrate data from on-premise systems to the cloud with minimal disruption.
Real-Time Data Processing: Stream and process data in real-time for immediate analytics and decision-making.
Data Governance & Quality Management: Ensure that data is accurate, secure, and meets compliance regulations.