Stanmest - Overview

šŸ‘‹ Hi, I’m Stanley Mbah

šŸš€ Data Engineer | MSc Data Science | Cloud & ETL Specialist

I’m passionate about building scalable data pipelines, cloud data warehouses, and real-time analytics solutions.
With hands-on experience in Python, SQL, Airflow, dbt, Spark, Snowflake, and GCP/AWS, I love turning raw data into actionable insights.


šŸ”§ Tech Stack

Python
SQL
Airflow
dbt
Spark
Kafka
Snowflake
BigQuery
AWS
GCP
Docker


šŸ“Œ Featured Projects

šŸ”¹ ETL E-commerce Pipeline with Airflow – Orchestrated a batch ETL pipeline that ingests raw sales data, transforms it with Python, and loads into PostgreSQL.
šŸ”¹ NYC Taxi Data Warehouse with Snowflake + dbt – Designed a star schema, built dbt models, and created analytics dashboards.
šŸ”¹ UK Road Safety Lakehouse on Databricks – I built a Databricks Lakehouse on UK STATS19 (road safety) with Auto Loader and DLT.


šŸ“Š GitHub Stats

Stanley's GitHub stats
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šŸ“ˆ What I’m Working On

  • Expanding my cloud-based data engineering portfolio
  • Learning advanced dbt and streaming technologies
  • Exploring real-time analytics dashboards with Spark + Kafka

šŸŒ Connect With Me

šŸ”— LinkedIn
šŸ“‚ GitHub
šŸ’» Portfolio Projects


✨ Always open to collaborating on exciting data engineering projects and sharing knowledge with the community!