Work

Enterprise Data Mesh Platform

Data Architecture
Data Mesh
Python
AWS
Analytics

Architected a revolutionary data mesh platform enabling decentralized data ownership, self-service analytics, and automated data quality management across the enterprise.

Data mesh architecture visualization

Project Overview

Designed and implemented a comprehensive data mesh platform that revolutionizes enterprise data management through domain-oriented decentralized architecture, enabling teams to own and serve their data products.

Architecture Components

Data Product Framework

  • Self-service data platform
  • Automated data pipelines
  • Quality monitoring
  • Schema management
  • Metadata catalog
  • Lineage tracking
  • Access management

Platform Capabilities

  • Domain-oriented architecture
  • Data product templates
  • Discovery service
  • Quality gates
  • Governance tools
  • Analytics workbench
  • ML feature store

Technical Implementation

Infrastructure

  • Cloud-native design
  • Kubernetes deployment
  • Custom operators
  • Service mesh
  • Event streaming
  • Data lake integration
  • Warehouse connection

Development Tools

  • Data product SDK
  • Quality frameworks
  • Testing tools
  • CI/CD pipelines
  • Documentation
  • Monitoring suite
  • Debug utilities

Data Governance

  • Automated compliance
  • Privacy controls
  • Data classification
  • Access policies
  • Audit logging
  • Retention policies
  • Encryption management

Analytics Capabilities

  • Self-service analytics
  • Real-time processing
  • ML feature serving
  • Query optimization
  • Cache management
  • Data visualization
  • Custom metrics

Business Impact

  • 500+ data products
  • 90% reduction in data access time
  • 75% faster analytics development
  • 99.99% data availability
  • 60% cost reduction
  • 4x analyst productivity
  • 85% automated governance
  • Zero compliance violations