Overview
Mindlytics provides end-to-end AWS cloud data engineering services that help organizations build reliable, scalable, and secure modern data platforms. Our services cover data pipeline development, ETL/ELT implementation, data lake and data warehouse solutions, data migration, data integration, cloud analytics architecture, and platform modernization.
We work with customers to assess their existing data environment, define an appropriate AWS architecture, implement data pipelines and integrations, migrate and transform data, and optimize analytics workloads. Engagements can include discovery and assessment, solution architecture, implementation, testing, documentation, knowledge transfer, and ongoing support.
Our approach is designed to help organizations improve data accessibility, reliability, scalability, and readiness for business intelligence and advanced analytics. AWS infrastructure and usage charges incurred separately from the AWS Marketplace transaction are the customer's responsibility.
Highlights
- AWS Data Engineering & Pipeline Development: Design and implement scalable ETL/ELT pipelines, data integrations, and automated workflows using AWS services to deliver reliable and analytics-ready data.
- Data Lakes, Warehouses & Migration: Build modern AWS data lakes and data warehouse environments and support secure data migration, transformation, and integration from existing platforms.
- Cloud Data Platform Modernization: Assess existing data environments, design AWS-based architectures, optimize workloads, and provide documentation, knowledge transfer, and ongoing support.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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Vendor support
Mindlytics provides customer support for service-related questions, implementation assistance, troubleshooting, and post-engagement support. Customers can contact our support team at support@mindlytics.co.in . Support requests are reviewed during standard business hours, and customers receive guidance on appropriate next steps based on the scope and nature of the engagement.