Analytics Platform Overview
A scalable analytics solution handling billions of daily events, supporting real-time dashboards, self-service analytics, and high-availability reporting for enterprise clients.
Technical Challenges
Architecting a platform to transform massive raw data into actionable intelligence with low latency, flexible integration, and robust data governance.
Live Analytics Dashboard
Analytics Metrics
Technology Stack
Cloud/Compute
Multi-cloud data lakes, scalable compute and distributed storage for big data workloads.
Data Processing
Stream and batch ETL, advanced transformations, and ML-enriched analytics.
Business Intelligence
Rich, interactive dashboards and analytics apps for self-service insights.
Development Phases
Data Lake Setup & Architecture
Established multi-cloud data lake, ingestion pipelines, and partitioning strategies for analytics readiness.
ETL & Data Processing
Built robust ETL flows for real-time and batch processing using Spark, Kafka, and dbt.
Analytics & BI Visualization
Delivered self-service dashboards, enterprise reporting, and interactive analytics apps for business users.
Advanced Reporting & Governance
Implemented security, access control, lineage, and audit systems for enterprise compliance.
Platform Outcomes
Delivered a resilient data analytics platform empowering enterprise clients with actionable real-time insights, agile reporting, and scalable analytics capabilities.