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Data Strategy & Engineering

Lay the Groundwork for Insights at Scale

The path to data-driven management begins with an efficient, scalable and secure data architecture throughout your organization. Our approach focuses on helping you design, construct, and maintain a data platform that can address complex challenges across your existing datasets while laying a groundwork for future expansion.

We have extensive experience working across cloud-native, on-premise and hybrid environments to deploy fully-integrated, self-service solutions, backed by robust and seamless governance frameworks.

Our Services Include:

Data Strategy Development

-Strategy Roadmapping
-Data Maturity Assessment
-Decision-Making Frameworks
-Technology Selection
-Stakeholder Engagement

Enterprise Data Platforms

-Scalable Platform Design
-Data Lakes / Warehouses
-High-Volume Processing
-Cloud Readiness
-Cloud Deployment
-Cloud Containerization
-Performance Optimization

ETL & Data Integration

-Data Pipeline Design
-ETL Process Engineering
-Data Quality & Consistency
-Workflow Automation
-Complex Data Handling
-Custom Integrations

Technical Expertise and Experience includes:


DATABASE TECHNOLOGIES

  • MySQL

  • SQL Server

  • Postgres

  • AWS Redshift

  • Microsoft Azure Fabric


DATA ENGINEERING

  • Python

  • PySpark

  • SSIS

  • Apache Airflow

  • AWS S3 / Glue

  • AWS Elastic Map Reduce

  • Google Big Query


ANALYTICS & MODELING

  • Data Science & Advanced Algorithms

  • Machine Learning

  • Optimization Algorithms

  • Tableau

  • Power BI

  • Looker 

  • Apache Sunset


DEVELOPMENT FRAMEWORKS

  • Agile Systems Development

  • Kimball Dimensional Modelling


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