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.
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Cloud-native data platforms designed to power analytics, reporting, and intelligent applications. |
Modern lakehouse architectures combining distributed compute and scalable storage. |
Reliable pipelines preparing datasets for machine learning and advanced analytics. |
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Building scalable pipelines capable of ingesting and transforming large volumes of enterprise data. |
Designing structured data models and analytics foundations that power reporting and BI systems. |
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High-performance transformations built on distributed compute frameworks. |
Reliable data layers enabling business intelligence and self-service analytics. |
Python • SQL • Apache Spark • PySpark • Azure • Databricks • Microsoft Fabric
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