Sold by: Cloud Wizard Consulting
AWS Select Tier Partner delivering data lake, warehouse, and pipeline engagements that have reduced client costs by up to 40% using proven accelerator methodologies.
Overview
Build a Modern Data Platform on AWS
Data is the foundation of digital transformation, analytics, and Artificial Intelligence. Organizations need reliable, scalable, and governed data platforms to support business intelligence, machine learning, and real-time decision-making.
AWS Data Engineering and Consulting from Cloud Wizard Consulting - an AWS Select Tier Consulting Partner - helps organizations design, build, and optimize modern data architectures on AWS. Our team of AWS-certified data engineers (holding all AWS certifications) works with your team to develop secure, high-performance data solutions tailored to your business objectives. We have trained more than 5,000 professionals and bring deep expertise to every engagement.
Proven Results
Our engagements deliver measurable outcomes. In one recent engagement, we reduced a client's data infrastructure costs by 40% through architecture optimization and right-sizing of AWS services. Our typical workshop-based engagements run 1-2 weeks, enabling rapid time-to-value for your data initiatives.
Engagement Phases and Timeline
Our engagements follow a structured approach with clear deliverables at each stage:
Phase 1: Discovery (Week 1) - Business objectives assessment, current-state architecture review, data source inventory, and requirements gathering. Deliverable: Data Platform Assessment Report with recommendations.
Phase 2: Design (Week 1-2) - Target-state architecture design, technology selection, security and governance framework definition. Deliverable: Architecture Blueprint Document and Implementation Roadmap.
Phase 3: Build (Weeks 2-6, varies by scope) - Pipeline development, data lake or warehouse implementation, integration configuration, and testing. Deliverables: Deployed data pipelines, configured AWS services, and test validation reports.
Phase 4: Optimize and Handoff (Final 1-2 weeks) - Performance tuning, cost optimization, operational documentation, and team knowledge transfer. Deliverables: Runbooks, operational documentation, and training sessions.
What the Engagement Covers
- Data platform assessment and architecture design
- Data lake design and implementation on Amazon S3 and AWS Lake Formation
- ETL/ELT pipeline development using AWS Glue
- Data warehouse modernization with Amazon Redshift
- Real-time data streaming architecture with Amazon Kinesis
- Data integration and migration
- Data governance, security, and IAM policy configuration
- Data quality and validation strategies
- Performance and cost optimization
- Analytics enablement with Amazon QuickSight and Amazon Athena
- Documentation and knowledge transfer
AWS Services Covered
Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, AWS Lambda, AWS Lake Formation, Amazon QuickSight, AWS Step Functions, Amazon DynamoDB, and Amazon RDS.
Ideal For
- Mid-market and enterprise organizations building cloud-native data lakes (e.g., migrating from on-premises Hadoop or legacy ETL tools to a serverless S3/Glue/Athena architecture processing terabytes of data daily)
- Modernizing legacy data warehouses to Amazon Redshift
- Business intelligence and analytics initiatives
- AI and Machine Learning data preparation
- Real-time data processing and streaming analytics
- Data migration to AWS from on-premises or other cloud platforms
- Enterprise reporting modernization
Scope Limitations and Exclusions
This engagement does not include ongoing managed services, 24/7 production support, or third-party tool licensing. Post-engagement production support requires a separate agreement. Engagements are scoped during the discovery phase based on your specific requirements.
Next Steps
Contact us to book a free discovery session where we assess your current data landscape, define engagement scope, and outline a tailored implementation roadmap. Reach out via the AWS Marketplace or at info@cloudwizardconsulting.com to get started.
Highlights
- AWS Select Tier Consulting Partner with all AWS certifications held by our authorized instructors. We have trained over 5,000 professionals and delivered engagements that reduced client data infrastructure costs by up to 40%. Typical workshop engagements run 1-2 weeks, enabling rapid time-to-value for data lake, warehouse, and pipeline initiatives on AWS.
- Structured Engagement Model with Clear Deliverables - Every engagement follows a phased approach (Discovery, Design, Build, Optimize, Handoff) with named deliverables at each stage including architecture blueprints, deployed pipelines, operational runbooks, and knowledge transfer sessions. You know exactly what you receive and when.
- End-to-End Data Platform Expertise - Design and implement scalable data lakes, warehouses, ETL/ELT pipelines, and real-time streaming architectures using AWS-native services including S3, Glue, Redshift, Kinesis, Lake Formation, and Athena. We help you build governed, secure, and cost-optimized data foundations that power analytics, BI, and AI workloads.
Details
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Support
Vendor support
Support During Your AWS Data Engineering and Consulting Engagement
Cloud Wizard Consulting provides dedicated support throughout your engagement, from data strategy and architecture through implementation, optimization, and knowledge transfer. Our AWS-certified data engineers work closely with your team to build scalable, secure, and high-performing data platforms.
Response Times and Communication
- Email response time: Within 12 hours of receipt
- Email: info@cloudwizardconsulting.com
- Website: https://www.cloudwizardconsulting.com
For urgent issues during an active engagement, escalation to a senior engineer is available upon request.
Typical Engagement Timeline
Workshop-based engagements typically run 1-2 weeks. Larger implementation engagements are scoped during discovery and may extend to 4-8 weeks depending on complexity. Key milestones include:
- Discovery and assessment (Week 1)
- Architecture design and review
- Build and implementation
- Optimization and knowledge transfer (final phase)
What Support Covers
During your engagement, our team provides guidance on data architecture, data lake and warehouse implementation, ETL/ELT pipeline development, data migration, real-time streaming, governance and security, performance tuning, and analytics enablement.
Buyer Responsibilities
To ensure a successful engagement, buyers should provide a designated business and technical point of contact, access to relevant AWS accounts, existing data architecture documentation, participation in discovery workshops, and availability for testing and knowledge transfer.
Post-Engagement Support
Post-engagement production support is available as a separate agreement. For billing questions related to your AWS Marketplace purchase, please contact info@cloudwizardconsulting.com .