👋 About Me

I am a data professional with experience spanning data analysis, analytics engineering, and applied data engineering. My work focuses on building reliable data pipelines, analyzing real-world datasets, and translating business questions into scalable data solutions.

I come from a non-traditional background, with prior experience in banking and healthcare administration, where I worked closely with large enrolment datasets, reporting systems, and operational analytics. This has shaped my approach to data — practical, business-driven, and impact-focused.

🛠️ Technical Skills

Languages: Python, SQL

Data Engineering: ETL/ELT pipelines, orchestration (Kestra), schema handling, backfills

Cloud & Platforms: Azure, Microsoft Fabric, GCP

Databases & Storage: PostgreSQL, cloud object storage, lakehouse & warehouse concepts

Analytics & BI: Power BI, data modeling, stakeholder reporting

ML & AI: Azure ML, MLflow, applied image classification projects

Tools: Docker, Git, GitHub Actions (CI/CD basics)

📌 Featured Projects

🔹 NYC Taxi Data Pipeline (Data Engineering Zoomcamp) End-to-end pipeline using Docker, PostgreSQL, cloud storage, and orchestration. Includes partitioned data handling, schema evolution, and backfills.

🔹 Airline Review Analytics Project Scraped and analyzed airline customer reviews to generate business insights, sentiment analysis, and recommendations. Delivered findings via dashboards and reports.

🔹 Applied AI Projects (WorldQuant University) Built and evaluated machine learning pipelines with a focus on practical deployment and monitoring using Azure ML and MLflow.

🎯 Current Focus

Building production-style data pipelines

Deepening experience with cloud-native data platforms

Analytics engineering and data modeling

Moving into an intermediate-level data engineering role

✉️  You can contact me at osareniho.oni@gmail.com