Modern Data Architecture Consulting Services
Build a data backbone that grows with you — cloud-native, flexible, and built to last.
Contact UsBenefits of Modern Data Architecture
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Cloud-ready infrastructure
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Flexible, modular data stack
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Faster data access and team workflows
Problem
Legacy systems are holding you back
Your data setup wasn’t built for today’s tools — or today’s speed.
Solution
Real-Time Cloud Architecture Design
Problem
Too many tools, no clear pipeline
Data flows through five tools before it’s usable — if at all.
Solution
Simplified ETL/ELT & Data Orchestration
Problem
Engineering teams are overrun
Maintaining the current setup eats up time — and breaks often.
Solution
Low-Maintenance, High-Reliability Systems
What is Modern Data Architecture?
Modern data architecture is a future-proof approach to how data is collected, stored, processed, and accessed across an organization. It’s modular, cloud-native, and built for fast-moving teams.
At Valiotti Analytics, we help companies shift from outdated data systems to lean, scalable architectures. Our modern data architecture consultants design ecosystems that support analytics, automation, and AI — without the complexity.
From strategy to setup, we help you modernize your data stack — fast.
We are certified partners of
Reviews
Leo Dubert
Mentorshow
Alexander Dolmatov,
Chief Marketing Officer
Our stack
Industries We Work With
We offer a variety of tailored and turnkey data analytics services and solutions, including Data strategy for enterprise and Data warehouse strategy.
- Enhanced student journeys
- Maximized marketing ROI
- Boosted conversions
- Refined course content
- Mitigated risks
- Optimized trading algorithms
- Managed regulatory compliance
- Enhanced customer experience
Increased revenue through
- Enhanced app interaction
- Feature engagement
- User data analysis
- Optimized inventory management
- Improved marketing efficiency
- Boosted conversion rates
- Harnessed player insights
- Elevated engagement
- Boosted retention
- Enhanced user experiences
- Optimized development processes
- Boosted conversion rates
- Improved CRM segmentation
- Automated billing overview
- Boosted operational efficiency
Our Dream Team
Nick Valiotti
СЕО
Regina
Analytics Team Lead
Egor
Lead Data Engineer
Maksim
Senior Data Engineer
Denis
Senior Data Analyst
Elvina
Project Manager
Olesya
Lead Data Analyst
30+ seasoned specialists
- Data Engineers
- Data Analysts
- Marketing
- Management
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“Valiotti Analytics managed to bring clarity in a very complex and chaotic environment, with a patient, yet ambitious pace.”
Case Studies
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Mentorshow
Comprehensive Reports Allow an EdTech Startup to Analyze User Behavior and Refine Its Product Strategy
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Executive Presence
Discover how a LinkedIn-focused marketing agency streamlined client reporting by automating data collection from ShieldApp.ai, integrating BI tools, and building a secure, scalable dashboard—saving time and enabling business growth.
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FAQ
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Modern data architecture consulting firms help businesses design and implement scalable, cloud-ready data ecosystems. This includes storage solutions (like data lakes or warehouses), pipeline design, integration across tools, and overall system governance.
Valiotti Analytics’ data architecture experts focus on practical architecture — built to deliver insights quickly, adapt to new needs, and reduce operational drag.
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Modern data architecture refers to a cloud-native, scalable approach to organizing and managing data. It typically includes a cloud data warehouse (Snowflake, BigQuery), ELT pipelines (Fivetran, dbt), a semantic layer, and self-service BI tools. Unlike traditional architectures, it’s designed for flexibility, real-time processing, and cross-team data access.
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For most organizations, cloud migration offers significant advantages: lower total cost of ownership, automatic scaling, faster time-to-insight, and access to modern tools. However, heavily regulated industries may need hybrid approaches. We assess your specific requirements and build a migration roadmap that minimizes risk and disruption.
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A typical modernization project takes 3-6 months for mid-size organizations. Phase 1 (assessment and design) takes 2-4 weeks. Phase 2 (core infrastructure setup) takes 4-8 weeks. Phase 3 (data migration and testing) takes 4-8 weeks. We use an iterative approach so you see value early, often within the first month.
Our Blog
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10 Tips for a Strong Data Infrastructure
At the start of your data infrastructure strategy, you probably are setting out with nothing more than “getting insights from my data.” But mapping…
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Modern Analytics Stack: A Way to Unleash Business Insights with Innovation
The era of traditional analytics solutions is over. In a world where data is king, organizations need to extract meaningful insights from it quickly…
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How We Built a Scalable Analytics System for Mentorshow and Cut Costs by 2.25x
Getting a real analytics system in place, with interactive dashboards and a proper database instead of messy Google Sheets, feels like putting on glasses…
Read more