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Scalable Data Solutions on AWS and Azure

Architecting, implementing, and managing robust and scalable data platforms and pipelines on Amazon Web Services (AWS) and Microsoft Azure. We empower your data initiatives with cloud-native solutions.

Our cloud engineering experts ensure your data infrastructure is efficient, secure, cost-effective, and ready to handle the demands of modern data analytics and AI/ML workloads.

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Cloud Engineering on AWS and Azure

Our Cloud Engineering Expertise

AWS Data Solutions

Design, build, and optimize data lakes, data warehouses, and ETL/ELT pipelines using AWS services like S3, Glue, Redshift, EMR, Kinesis, and Lake Formation.

  • Serverless Data Pipelines
  • Cost Optimization Strategies
  • Scalable Data Lake Architectures
Azure Data Solutions

Implement modern data platforms on Azure leveraging services such as Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics.

  • Hybrid Data Integration
  • Enterprise-Grade Data Warehousing
  • Real-time Data Processing
Data Migration & Modernization

Seamlessly migrate your existing data infrastructure to the cloud or modernize your current cloud environment for improved performance and scalability.

  • Cloud Readiness Assessments
  • Lift-and-Shift and Re-architecting Strategies
  • Data Governance in the Cloud
Security & Compliance

Implement robust security measures and ensure compliance with industry regulations within your cloud data environment.

  • Identity and Access Management
  • Data Encryption and Masking
  • Compliance Framework Implementation

Why Choose Creodatatech for Cloud Engineering?

Partnering with us for your cloud data engineering needs provides a strategic advantage:

Build Your Future in the Cloud with Our Expertise

Ready to leverage the power and scalability of AWS and Azure for your data initiatives? Contact us today for a consultation.

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