Data Engineering & Infrastructure
We develop the analytical infrastructure & data architecture that enables data analysts and data scientists to quickly create and deploy analytics at scale, whether on cloud or on-prem.
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Our approach to Data Engineering & Infrastructure

- Strategy
- Enablement
- Execution
Systems & Process Analysis
Analyze current data pipelines, SDLCs, and systems.
Data Quality & Standardization
Establish data governance, quality, and standardization best practices.
DataOps & FinOps
Recommendations around DataOps and FinOps.
Upskilling & Training
Accelerate learning and adhere to best practices
System Documentation
Documentation & clarification of complex systems
Best Practices
Enable data engineering best practices across the enterprise
Process Automation
Data Modeling
ETL/ELT Pipeline Development
ML Model Production
Data Architecture
Infrastructure Modernization
Deep expertise in the world’s leading data technology platforms
Partners
Data and Analytics Platforms







