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Data Strategy & Engineering

Turn your messy, fragmented data into a competitive asset that powers intelligent decision-making.

Overview

AI is only as good as the data it feeds on. We build robust, scalable data infrastructure that breaks down silos and ensures your AI models have access to clean, real-time structured data. From raw logs to boardroom-ready insights.

Our Approach

01

Data Audit

Mapping all your disconnected data sources and quality issues.

02

Pipeline Architecture

Designing a fault-tolerant ingestion and transformation layer.

03

Warehouse Implementation

Setting up the central source of truth.

04

Analytics Layer

Building the views and dashboards for end-users.

Technology Stack

Snowflake
dbt
Airbyte
Python
AWS Glue

Key Benefits

  • Single Source of Truth
  • AI-Ready Infrastructure
  • Real-Time Insights

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Capabilities

  • Modern Data Stack: Implementation of Snowflake, BigQuery, or Databricks.
  • Real-Time ETL: Streaming pipelines for up-to-the-second data availability.
  • Data Governance: Ensuring security, lineage, and compliance at scale.
  • AI-Ready Schemas: Structuring data specifically for LLM consumption and RAG.

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