Case Study: Tech Exploration — Modern Data Injection & Reporting Architecture

Client: Internal PoC (Enterprise-scale framework)
Shared With: Stakeholders across multiple orgs as a thought leadership artifact
Role: Solution Strategist / Project Lead
Duration: 4 weeks (Sprint-based exploration & architecture proposal)
Domain: Data Engineering | Reporting | Business Intelligence | Integration Architecture


📌 Overview

This project was initiated as a technology exploration and architecture proposal for a scalable, real-time data injection and reporting ecosystem. It focused on integrating siloed enterprise systems and enabling reliable, near real-time business reporting with minimal manual effort.


🎯 Business Objective

To design a future-ready system that enables automated data ingestion, transformation, and dashboard-ready reporting with traceability, auditability, and modular scaling in mind.


🧠 My Approach

  • Problem Framing: Identified challenges with existing batch-based reporting systems and siloed data lakes.
  • Target State: Envisioned a modular architecture with:
    • Real-time data injection (CDC/Event Streaming)
    • Data lake storage with metadata tagging
    • ETL pipelines (streaming & scheduled)
    • BI Dashboard layer (Power BI / Tableau)
  • Architecture Blueprint:
    • Built diagrams showcasing layers (Source → Ingestion → Storage → Transform → BI)
    • Mapped tool options (Kafka, Snowflake, Azure Synapse, DBT, Apache Nifi)
    • Compared real-time vs scheduled injection approaches with pros/cons
  • Governance & Observability:
    • Addressed logging, versioning, error handling, and access controls
    • Introduced monitoring layer via Grafana or native Azure tools

🔧 Tools & Frameworks Explored

  • Data Platforms: Snowflake, Azure Data Factory, S3, Postgres
  • Ingestion: Kafka, Apache Nifi, Azure Event Hubs
  • Visualization: Power BI, Tableau
  • Documentation: Lucidchart (architecture), Confluence (strategy write-up)

📈 Outcome

  • Framework adopted as a baseline reference model by internal stakeholders for ongoing data platform revamps
  • Presented in cross-org calls to showcase modular implementation strategies
  • Recognized for clarity in architectural breakdown and business-aligned tech recommendations

📎 Artifact / Deck

🔗 View the Architecture Deck (PDF)
Includes diagrams, tool recommendations, and implementation roadmap


🛠 Key Skills Demonstrated

Solution Architecture · Data Strategy · Tech Evaluation · Cross-functional Collaboration · Documentation & Visual Communication · Reporting Automation

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