Airbyte
,Python
, anddbt
. My work transforms raw data into reliable, actionable insights through robust ELT pipelines usingAirflow
, automated orchestration, and high-quality analytics layers withSnowflake
andLooker
.Featured
• End-to-end ELT pipelines using Airbyte, dbt, and Airflow
• Automated data quality checks (Great Expectations) and monitoring (Datadog)
• Scalable warehouse models on Snowflake
• Monitoring, observability & CI/CD for data workflows
• Business-ready dashboards and analytics layers
• Built interactive Power BI dashboards used by 50+ stakeholders
• Automated ETL workflows with Python & Power Automate
• Reduced manual reporting time by 70%
• Accelerated decision-making across operations
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Model Context Protocol server for seamless Appwrite database operations with 7 powerful tools and 99.9% success rate
Real-time music streaming platform with synchronized playback, live chat, and social listening features
Innovative dating platform featuring anonymous questions and authentic connections - currently in development
About
I'm Marcellin DJAMBO, a Data & Analytics Engineer specialized in designing scalable, maintainable, and production-grade data platforms. I combine engineering rigor with business understanding to deliver systems that are reliable, observable, and aligned with real-world needs.
Skills
marcellin-de's coding journey over the past year
Fetching your GitHub activity data
Featured
How to build reliable, production-grade data pipelines with dbt, CI/CD, and observability tools.
A practical guide to dbt snapshots and how to track historical changes in your warehouse.
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Development
Design & Developed by Marcellin
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