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mumairnawaz/README.md

Muhammad Umair Nawaz

Data & Analytics Engineer specializing in Azure-based Lakehouse & BI solutions

I specialize in building end-to-end data solutions on Azure and traditional BI ecosystems, focusing on scalable pipelines, structured data models, and executive-level dashboards that drive business decisions.

Core Capabilities

  • Azure Data Engineering — building scalable data pipelines using Azure Data Factory, Databricks, ADLS, and Delta Lake
  • Lakehouse Architecture — designing Bronze / Silver / Gold data layers for structured analytics systems
  • ETL/ELT Pipelines — automated ingestion, transformation, and orchestration workflows
  • Analytics Automation — eliminating manual reporting with cloud-based data workflows
  • Data Warehousing — building structured and optimized analytical data models
  • BI & Dashboards (Power BI) — delivering interactive, executive-ready insights
  • Operational Analytics — identifying inefficiencies, risks, and performance gaps
  • Data Integration — unifying multi-source data into a single source of truth

Expertise

☁️ Azure Data Engineering & Lakehouse
Azure Data Factory Azure Databricks Azure Data Lake Delta Lake Medallion Architecture

📊 BI & Analytics
Power BI Tableau Excel

🗄️ Data & Warehousing
SQL PostgreSQL MySQL Data Warehousing

⚙️ Data Engineering & Modeling
ETL Data Modeling API Integration Lakehouse Architecture

💻 Programming & Analytics
Python Pandas NumPy

Professional Work

Selected analytics work focused on business performance, risk detection, and scalable data systems.

Projects Business Impact

☁️ Azure Crypto Analytics Lakehouse

Built an end-to-end Azure data engineering solution using Medallion Architecture, Delta Lake, and Power BI.

🔗 View Case Study →

• Built scalable end-to-end Azure data pipelines
• Designed production-grade lakehouse architecture
• Enabled automated analytics and executive reporting

📈 Revenue Intelligence & Sales Analytics

Designed analytics systems to identify revenue decline drivers and performance gaps.

🔗 View Case Study →

• Identified key drivers of revenue decline
• Uncovered sales performance gaps across KPIs
• Delivered actionable business insights for decision-making

🛡️ Fraud Detection & Risk Analytics

Built analytics workflows for identifying anomalies and transaction risk patterns.

🔗 View Case Study →

• Developed anomaly detection workflows
• Identified suspicious transaction patterns
• Improved risk visibility through analytical dashboards

🏗️ Data Warehousing & Analytical Modeling

Developed scalable data models and pipelines for analytics and reporting.

🔗 View Case Study →

• Designed scalable warehouse schema and models
• Built analytics-ready transformation pipelines
• Optimized reporting layer performance

⚙️ Operational Performance & Efficiency Analytics

Structured operational data into analytics-ready environments for decision-making.

🔗 View Case Study →

• Built KPI dashboards for operational visibility
• Structured data for faster decision-making
• Improved efficiency tracking and performance monitoring

Analytics & Dashboard Portfolio

Interactive dashboards designed to transform complex data into actionable business insights.


Revenue Intelligence
Power BI • SQL • DAX
Revenue trends & KPI insights
Fraud & Risk Monitoring
Power BI • Python • APIs
Anomaly detection & risk tracking
Aviation Risk Analytics
Power BI • Python • SQL
Accident trends & risk pattern analysis

Approach

A structured analytics framework to transform raw data into business decisions.

🧩
Problem Definition
Identify business goals		 📊
Data Preparation
Clean & structure data		 🏗️
Modeling
Build scalable data models		 📈
Insights
Analyze trends & patterns		 🎯
Decision Enablement
Drive business actions
From problem definition to decision-making — ensuring every analysis delivers measurable business impact.

Experience

  • Data Analyst — i2c
    Working on analytics systems, reporting automation, and operational data insights
    🔗 Company Profile →

  • BI Consultant — Freelance
    Delivering data analytics, dashboard solutions, and BI consulting for clients
    🔗 View Portfolio →

Professional Links

Available for consulting, freelance, and data analytics engagements

Pinned Loading

  1. azure-crypto-analytics-lakehouse azure-crypto-analytics-lakehouse Public

    Enterprise-grade Azure Data Engineering platform for automated cryptocurrency market ingestion, transformation, and orchestration using Azure Data Factory, Databricks, PySpark, and Medallion Archit…

    Jupyter Notebook

  2. sales-decline-analysis sales-decline-analysis Public

    Business-focused case study analyzing the drivers of revenue decline in an e-commerce business, with actionable insights across sales, customers, products, and operations.

    TSQL

  3. football-analytics-warehouse football-analytics-warehouse Public

    Business-focused analytics case study analyzing football league competitiveness, scoring behavior, and team dominance across top European competitions using a modern data lakehouse architecture.

    Python

  4. fraud-detection-analytics-system fraud-detection-analytics-system Public

    Real-time fraud detection and risk monitoring system built using SQL Server and Power BI. Analyzes 50K+ transactions to identify fraud patterns and enable data-driven decision-making.

    SQL

  5. aviation-risk-analytics aviation-risk-analytics Public

    Aviation safety analytics dashboard analyzing 54K+ bird strike incidents to identify high-risk flight phases, locations, and operational impact.

  6. customer-support-analytics-engine customer-support-analytics-engine Public

    Customer support performance analytics uncovering SLA gaps, ticket bottlenecks, and agent efficiency insights.