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NORMAN
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NORMAN
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nnorman95/README.md

NORMAN

Data Engineering

Practical projects focused on end-to-end data systems, process optimization, warehouse and lakehouse architecture, orchestration, data quality, reliability, governance, and observability.

NeuroSleep Lakehouse Platform is the flagship project — a production-style learning platform built around real sleep neuroscience data, combining batch and streaming pipelines, analytical modeling, automated validation, recovery workflows, and reproducible local infrastructure.

Core technologies across the projects: Python | SQL | PostgreSQL | dbt | Airflow | Spark | Kafka | Docker | MinIO

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  1. neuro_sleep_lakehouse_platform neuro_sleep_lakehouse_platform Public

    Lakehouse-style data platform for sleep neuroscience data with Python, PostgreSQL, MinIO, Docker, data quality, governance, and observability.

    Python

  2. nasa_climate_pipeline nasa_climate_pipeline Public

    End-to-end NASA POWER climate ELT pipeline with Python, PostgreSQL, dbt, Docker, Metabase, and data quality tests.

    Python

  3. online_retail_project online_retail_project Public

    Batch ELT pipeline for UCI Online Retail data with Python, PostgreSQL, dimensional modeling, marts, and data quality checks.

    Python