Overcome Challenges in Implementing Data Mesh
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Featured Insights


Our Capabilities
End-to-End Implementation
We deliver solutions across the data lake life cycle, including global Microsoft Azure data deployments. Learn more
Fully Integrated Data Lake
We help integrate self-service business intelligence (BI) apps, data hubs, data warehouses, and workflows from BI tools.
Data Lake Governance
Lingaro is ISO/IEC 27001-certified — we apply stringent data management standards at each level of data sensitivity.
Data Consolidation
We provide capabilities for orchestrating and managing data flows and data sources, such as Azure-SAP integrations.
Data Ingestion
We speed up the delivery of new or complex data pipelines by up to five times while enabling end users to create their own.
Data Platform Assessment
We develop actionable strategies and assess technical requirements for implementing data lakes and logical data warehouses.
Results Delivered
Store, explore, and process data at any scale.
Mechanisms for securing data, avoiding data swamps, and ensuring governance and semantic consistency
Real-time data flows and support for different programming languages, data types, cross-cloud capabilities, and business use cases
Interoperability with new data sources, traditional data warehouses, and other business intelligence tools



Your Competitive Edge
Adoption-First Approach
Faster Time to Value
Cloud-Native
Agile and Adaptable
We first establish strategic requirements before developing, implementing, or expanding a data lake.
We adopt a milestone-driven strategy that helps achieve quick wins and encourage user adoption.
We have over 14 years of experience in analytics, multicloud environments, and big data projects.
Our approach to DevOps and DataOps blends agility and operational excellence to deliver data solutions.
Adoption-First Approach
Faster Time to Value
We first establish strategic requirements before developing, implementing, or expanding a data lake.
We adopt a milestone-driven strategy that helps achieve quick wins and encourage user adoption.
Cloud-Native
Agile and Adaptable
We have over 14 years of experience in analytics, multicloud environments, and big data projects.
Our approach to DevOps and DataOps blends agility and operational excellence to deliver data solutions.
Adoption-First Approach
We first establish strategic requirements before developing, implementing, or expanding a data lake.
Faster Time to Value
We adopt a milestone-driven strategy that helps achieve quick wins and encourage user adoption.
Cloud-Native
We have over 14 years of experience in analytics, multicloud environments, and big data projects.
Agile and Adaptable
Our approach to DevOps and DataOps blends agility and operational excellence to deliver data solutions.

Meet Our Experts

Paweł Mitruś
Cloud Solution Architect

Marek Kaczor
Enterprise Architect

Grzegorz Dubicki
Cloud Architect

Carlos Navarro
Data Platform Strategist