Cloud Data Migration: Seamless migration of data from legacy systems to cloud platforms like AWS, Microsoft Azure, or Google Cloud.
Cloud Data Warehousing: Build cloud-based data warehouses like Snowflake, Google BigQuery, or Azure Synapse Analytics.
Serverless Data Processing: Implement serverless computing solutions (AWS Lambda, Azure Functions) for cost-effective data processing.
Data Storage Optimization: Implement cost-effective and scalable storage solutions for large volumes of structured and unstructured data.
Data Security & Compliance: Ensure data is encrypted, secure, and compliant with GDPR, HIPAA, and other regulations.
Cloud Data Orchestration: Utilize tools like Apache Airflow or Azure Data Factory for orchestrating data pipelines in the cloud.
Data Backup & Disaster Recovery: Implement robust backup and disaster recovery strategies to safeguard data.