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Data Engineering & MLOps

Data Warehousing & Lakehouse

We design and build modern data warehouses and lakehouses that unify your data for analytics and AI. On Snowflake, BigQuery, or Databricks, we model your data cleanly, optimize for cost and performance, and give your whole organization one reliable source of truth.

Capabilities

  • Snowflake, BigQuery & Databricks
  • Dimensional & lakehouse modeling
  • Cost & performance optimization
  • Data lake & storage design
  • Self-serve analytics enablement

What you get

  • Production warehouse / lakehouse
  • Clean, documented data models
  • Cost & performance tuning
  • Access & governance setup
Where it delivers

Common use cases

Building a central data platform

Migrating to a modern warehouse

Enabling self-serve analytics

Part of Data Engineering & MLOps

Related solutions

Data Pipelines & ETL

Reliable data, end to end

Robust ETL/ELT pipelines that move and transform data reliably from any source to your warehouse.

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Business Intelligence & Dashboards

Decisions you can see

Interactive BI dashboards in Power BI, Tableau, or Looker that turn data into decisions.

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Real-Time & Streaming Analytics

Insight the moment it happens

Streaming data pipelines with Kafka and Flink that power real-time analytics and event-driven apps.

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MLOps & Model Deployment

From notebook to production

MLOps platforms that automate training, deployment, and monitoring so models stay reliable in production.

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Data Governance & Quality

Trusted, compliant data

Data governance, cataloging, and quality frameworks that make your data trustworthy and compliant.

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Related work

Selected projects

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SaaS Platform

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MSMEs

Digitize and empower local businesses with AI-enabled tools for sales, marketing, and operations.

AI CRM / ERP

Officiel CRM

SMBs & Enterprises

Provide a smart, multilingual, AI-enabled CRM to manage leads, customers, and sales pipelines efficiently.

Data Engineering & MLOpsAll services

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