Enterprise Data Architecture for Modern Organizations

Helping organizations modernize legacy platforms, design scalable data ecosystems and become AI-ready.

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About PostoData

PostoData is a European boutique consultancy founded by Andrei Postolache, a Senior Data Architect with 13+ years of experience designing and modernizing worldwide enterprise data platforms.

We help organizations move from fragmented legacy landscapes to scalable, governed and AI-ready data ecosystems using technologies such as Microsoft Fabric, Snowflake, Azure, Oracle, dbt and other cloud platforms.

With experience across Energy, Telecom, Healthcare, Automotive and Consumer Goods, PostoData combines architecture-level thinking with hands-on delivery discipline: strategy, design, governance, implementation guidance and modernization roadmaps.

Andrei Postolache

Andrei Postolache
Founder & Data Architect

Microsoft Certified • Udacity Data Architect • Snowflake

Core Expertise

Independent architecture expertise for organizations that need clarity, structure and a realistic path toward modern, governed and AI-ready data platforms.

Data Architecture
Data Platform Modernization
Data Governance
Data Strategy
Microsoft Fabric
Snowflake

Our Services

Clear, outcome-oriented advisory services for enterprise data initiatives.

Architecture Assessment

Independent review of your current data landscape, architecture risks and modernization opportunities.

Data Platform Strategy

Target-state architecture, roadmap and decision support for scalable, governed and AI-ready platforms.

Legacy Modernization

Assessment and modernization strategies for Oracle, legacy warehouses and application-centric data ecosystems.

Data Governance Assessment

Metadata, lineage, ownership, quality and governance operating models adapted to your organization.

Microsoft Fabric Advisory

Architecture patterns, medallion design, ingestion strategy, governance and implementation guidance.

Snowflake Advisory

Warehouse design, transformation strategy, dbt integration, performance and cost optimization guidance.

Architecture Assessment

A focused advisory engagement for organizations planning data modernization, platform migration or AI-readiness initiatives.

What is included

Discovery workshops, architecture review, risk assessment, findings report and a pragmatic modernization roadmap.

Typical duration

1-2 weeks, depending on scope, system complexity and stakeholder availability.

Best fit

Organizations with legacy platforms, fragmented data ecosystems or unclear architecture decisions before a major investment.

Case Studies

Examples of enterprise data challenges addressed through architecture, modernization and governance. Client names and implementation details are intentionally anonymized.

⚡ Energy Utility

Challenge: Multiple heterogeneous systems such as SAP, Oracle and PostgreSQL limited integration efficiency, data consistency and decision-making speed.

Approach: Designed a Microsoft Fabric Medallion Architecture with governed ingestion patterns, curated analytical layers and metadata-driven controls.

Outcome: A clearer target architecture for governed reporting, scalable analytics and future AI-readiness.

🏭 Manufacturing & Supply Chain

Challenge: Fragmented supply chain data across ERP systems limited operational visibility and made inventory decisions harder to scale.

Approach: Integrated SAP data into a decision intelligence layer supporting inventory optimization, safety stock analysis, rebalancing and control tower reporting.

Outcome: Better visibility across supply chain processes and a stronger foundation for AI-assisted operational decisions.

🏥 Healthcare Company

Challenge: Siloed patient, financial and operational data across multiple products and platforms.

Approach: Built ingestion pipelines with Azure Data Factory, transformation layers in Databricks and scalable NoSQL models in CosmosDB.

Outcome: A more reliable and scalable data foundation for analytics, compliance and future advanced use cases.

📡 Telecom Operator

Challenge: Legacy Oracle warehouse limiting scalability, delivery speed and self-service analytics adoption.

Approach: Designed a migration path toward Snowflake, dbt-based transformations and modern analytical models.

Outcome: Shorter delivery cycles, improved scalability and a stronger foundation for business-facing analytics.

Why PostoData?

Independent data architecture expertise for organizations that need senior-level guidance without vendor lock-in or unnecessary complexity.

Industries Served

⚡

Energy

🏛️

Public Sector

🏥

Healthcare

🚘

Automotive

🛒

Consumer Goods

📡

Telecom

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Planning a modernization, architecture review or data platform initiative? Email us at contact@postodata.com