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shiza16/README.md

Shiza Azam

Senior Data Engineer • Data Platform Architect





About Me

I am a Senior Data Engineer focused on building scalable data platforms that support analytics, artificial intelligence, and modern data-driven applications.

My work revolves around designing reliable data infrastructure, enabling organizations to transform complex operational data into structured, trusted datasets for analytics and decision-making.

I work extensively with cloud-native data platforms and distributed processing systems, building architectures that support high-volume data pipelines and enterprise-scale analytics workloads.

My approach to engineering prioritizes clean architecture, platform reliability, and well-designed analytics foundations.


What I Build

Data Platforms

Cloud-native data platforms designed to power analytics, reporting, and intelligent applications.

Lakehouse Systems

Modern lakehouse architectures combining distributed compute and scalable storage.

AI Data Pipelines

Reliable pipelines preparing datasets for machine learning and advanced analytics.


Core Capabilities

Data Engineering

Building scalable pipelines capable of ingesting and transforming large volumes of enterprise data.

Data Architecture

Designing structured data models and analytics foundations that power reporting and BI systems.

Distributed Processing

High-performance transformations built on distributed compute frameworks.

Analytics Foundations

Reliable data layers enabling business intelligence and self-service analytics.


Technology Ecosystem



Python • SQL • Apache Spark • PySpark • Azure • Databricks • Microsoft Fabric


Connect

If you're interested in data platforms, lakehouse architecture, or AI data systems, feel free to connect.


📧 Email
shizaazam6@gmail.com

🔗 LinkedIn
https://linkedin.com/in/shizaazam

💻 GitHub
https://github.com/shiza16


⭐ Building reliable data platforms for analytics and AI

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  1. sales-and-customer-analytics-platform sales-and-customer-analytics-platform Public

    End-to-end data engineering solution demonstrating ETL pipelines, relational modeling, SSIS workflows, SQL optimization, data quality validation, and Power BI analytics using sales and customer data.

    Python 1

  2. PizzaRunner-dbt-Pipeline PizzaRunner-dbt-Pipeline Public

    Python 1

  3. News-Headline-Clustering News-Headline-Clustering Public

    Information retrieval Course Project

    Python 3

  4. Pyspark-Hive-Drill-Performance-Comparision Pyspark-Hive-Drill-Performance-Comparision Public

  5. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Jupyter Notebook 1

  6. duck-db-practice-project duck-db-practice-project Public

    This project is for the purpose of learning duckdb using python

    Python