Moiz Khan

I am Data Engineer Who loves to create Pipelines, ETL processes.

Data Engineer with 5 years of experience building and scaling data platforms across three organizations — growing from engineering fundamentals to leading end-to-end pipeline architecture.

I started my career getting hands-on with Python and SQL, building ETL pipelines and learning the hard lessons of data quality, performance, and reliability in production environments. That foundation pushed me deeper into cloud-native data engineering — working with Azure Data Lake Storage (ADLS), designing Medallion Architecture (Bronze → Silver → Gold) to bring structure and trust to raw data, and optimizing pipelines that teams actually depend on.

In my mid-level years I moved into the Databricks ecosystem — working with Delta Lake, PySpark, and Unity Catalog to build scalable transformation layers and govern data assets across teams.

I got comfortable with the full lifecycle: ingestion, transformation, orchestration, and making data reliably available for analytics and ML use cases.

Most recently I have been working with Microsoft Fabric — building unified analytics solutions across OneLake, Lakehouse, and Dataflows — bridging the gap between data engineering and business intelligence in a single platform.

Across all three organizations the constant has been the same: take messy, unreliable data and turn it into something teams can trust and build on.

I have done my bachelor in Computer Science In 2021.