Sold by: DATAGENTIC AI
Enterprise-grade AWS Data & Analytics Consulting Services delivering production-ready data lakes, data warehouses, real-time streaming analytics, and comprehensive data governance using AWS native services including S3, Redshift, Glue, Athena, Kinesis, Lake Formation, and QuickSight. We architect, implement, and operationalize scalable data platforms with ETL/ELT pipelines, business intelligence dashboards, and ML integration, achieving 70-80% reduction in data processing time, 60% cost savings, and 99.9% uptime. Our proven methodology includes data strategy, migration, governance frameworks, security compliance (GDPR, HIPAA, SOX), and comprehensive knowledge transfer for sustainable data-driven transformation.
Overview
Transform Your Data Infrastructure with Enterprise-Grade AWS Analytics Solutions
AWS Data & Analytics Consulting Services delivers end-to-end data modernization leveraging AWS native services including Amazon S3, Amazon Redshift, AWS Glue, Amazon Athena, Amazon Kinesis, AWS Lake Formation, Amazon QuickSight, Amazon EMR, AWS DMS, and Amazon OpenSearch Service. Our expert consultants architect, implement, and operationalize production-ready data lakes, cloud data warehouses, real-time streaming analytics platforms, and self-service business intelligence solutions that achieve 70-80% reduction in data processing time, 60% cost savings versus on-premises infrastructure, and 99.9% uptime with automated scaling. We deliver comprehensive data governance frameworks using AWS Lake Formation and Amazon Macie for fine-grained access control, PII detection, data cataloging, and compliance with GDPR, HIPAA, SOX, and PCI-DSS regulations.
Accelerate Time-to-Insight with Proven Data Engineering and Analytics Expertise
Our proven methodology spans the complete data lifecycle: data strategy and assessment, architecture design using AWS Well-Architected Framework, automated ETL/ELT pipeline development with AWS Glue and Amazon EMR, real-time data ingestion using Amazon Kinesis Data Streams and Kinesis Data Firehose, cloud data warehouse migration to Amazon Redshift with AWS DMS, interactive analytics with Amazon Athena and Redshift Spectrum, and advanced visualizations using Amazon QuickSight with embedded analytics and ML-powered insights. We implement DataOps best practices with infrastructure-as-code (AWS CloudFormation), CI/CD pipelines (AWS CodePipeline), comprehensive monitoring (Amazon CloudWatch), and cost optimization strategies including Reserved Instances and Savings Plans. Our engagements deliver measurable business outcomes: 50-60% faster time-to-insight, 80%+ user adoption through self-service analytics, unified data platforms consolidating 50+ data sources, and positive ROI within 12-18 months.
Enterprise-Grade Security,Governance, and Knowledge Transfer for Sustainable Success
Security and compliance are built into every solution with AWS IAM for least-privilege access control, AWS KMS for encryption at rest and in transit, AWS Secrets Manager for credential management, AWS CloudTrail for comprehensive audit logging, and Amazon VPC with private endpoints for network isolation. Our data governance framework leverages AWS Glue Data Catalog for metadata management, AWS Lake Formation for centralized governance and fine-grained permissions, Amazon DataZone for data discovery and collaboration, and automated data lineage tracking for impact analysis and compliance reporting. Every engagement includes comprehensive knowledge transfer with 80-200 hours of role-based training (data engineers, data analysts, BI users, data stewards), detailed operational playbooks, hands-on exercises, and 4-6 weeks of hypercare support to ensure your team confidently operates and evolves the data platform independently. Optional managed services provide ongoing optimization, monitoring, and support for continuous improvement.
Highlights
- Enterprise Data Lakes & Cloud Data Warehouses: Production-ready data platforms using Amazon S3, Amazon Redshift, AWS Glue, and AWS Lake Formation delivering 70-80% reduction in data processing time, 60% cost savings versus on-premises infrastructure, and 99.9% uptime with automated scaling and comprehensive data governance
- Real-Time Streaming Analytics & Business Intelligence: End-to-end ETL/ELT pipelines with Amazon Kinesis, AWS Glue, Amazon Athena, and Amazon QuickSight enabling 50-60% faster time-to-insight, self-service analytics for 500+ users, and ML-powered dashboards consolidating 50+ data sources
- Security, Compliance & Knowledge Transfer: Enterprise-grade data governance using AWS Lake Formation, Amazon Macie, AWS IAM, and AWS KMS ensuring GDPR, HIPAA, SOX, and PCI-DSS compliance, plus 80-200 hours of training and 4-6 weeks hypercare support for sustainable operational excellence
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