Data & Business Intelligence Professional | Power BI Expert | Data Engineering Enthusiast | Visual Thinker
π Nigerian, based in the UK.
π I transform complex data into clear, actionable insights.
π Currently mastering how to build large enterprise-grade data engineering systems that scale easily.
π¦ Documenting beginner-friendly, production-level projects with full transparency.
πΆ Teaching like youβre 5. Building like youβre the CTO.
π Passionate about Power BI, Python, SQL, Data Pipelines, ML, and Automation.
- Lead Insights & Analytics for Havenhill Synergy Limited, Nigeria - Contract.
- Information Operations (Info-Ops) at the Information Team at East Kent Hospitals University NHS Foundation Trust, England - Full Time.
- Design executive-ready Power BI dashboards and automated reporting systems.
- Deliver enterprise-wide training on Power BI, DAX, T-SQL, and Power Query.
- ETL pipelines using Spark, Pandas, Polars, PostgreSQL, DuckDB, and Airflow
- ML deployment via FastAPI, model monitoring, and data quality scoring
- Strong focus on documentation, modular testing, and real-world reliability
| # | Project | Category | Stack | Dataset | Pipeline Output | Outcome |
|---|---|---|---|---|---|---|
| 1 | Batch ETL Pipeline | Data Engineering | Spark, Python, PostgreSQL | NYC Taxi Trips | ETL pipeline with DB load | Dashboard in Power BI |
| 2 | Recommendation System | Analytics + ML | Spark MLlib, Python | MovieLens | User-item recommendations | Served via FastAPI |
| 3 | Streaming Analytics | Streaming + Analytics | Kafka, Spark, Python | Simulated Data | Windowed real-time stats | Alerts & dashboards |
| 4 | Log Analysis & Pattern Detection | Data Engineering | Flink/Spark, Python | Apache Logs | Error trend analysis | Anomaly detection model |
| 5 | Geospatial Pipeline | Spatial + Analytics | Spark + Sedona, GeoPandas | OpenStreetMap | Spatial joins & heatmaps | Animated spatial views |
| 6 | Time Series Engine | Time Series + ML | TimescaleDB, Prophet | Energy & Weather | Forecasting & resampling | Threshold-based alerts |
| 7 | Data Quality Framework | Data Quality | Great Expectations, Spark | Public Tabular Data | Validation reports | Data quality scorecards |
π§ͺ All projects are / will be documented for transparency and learning purposes β not just code dumps.
Languages & Frameworks
Python β’ SQL (T-SQL & PostgreSQL) β’ DAX β’ Power Query M β’ Shell Scripting β’ Spark β’ FastAPI
BI & Visualization
Power BI β’ MS BI Stack β’ SVG
Data Engineering & Ops
Apache Airflow β’ Kafka β’ Docker β’ DuckDB β’ TimescaleDB β’ Git β’ Postgres β’ MS BI Stack
Clarity Through Complexity
Move With Intention. Build With Integrity.
- πΌ LinkedIn
- π¬ DM me to collaborate on BI, ETL, or cleanly documented data projects.
- π I'm learning and building in public β with a teacher's mindset and an engineer's rigor.
Thanks for visiting! Scroll through pinned repositories to explore what Iβm building β and how Iβm thinking. Leave a message if you like.
