my cv:

Lead discovery, architecture, and modelling work for global data products across Azure Databricks, BigQuery, and lakehouse environments. Turn complex platform decisions into practical roadmaps for analytics, marketing, AI, and customer data use cases.

Built and modernised finance data pipelines across SQL Server, Azure Synapse, Snowflake, dbt, Power BI, and multi-cloud prototypes. Delivered governed reporting, remittance, NPS, AUM, and reconciliation workflows used by finance, CX, compliance, and business teams.

Helped early-stage startups turn messy operating questions into analytics roadmaps, KPI dashboards, and investor-ready reporting. Designed founder and portfolio measurement systems that made cohort progress, engagement, and traction easier to evaluate.

Built reports, ETL workflows, and Power BI dashboards that made sales and operational performance easier to understand. Supported data-led decision-making by turning recurring business questions into repeatable reporting and analysis.

Create practical content on data engineering, cloud architecture, AI workflows, data modelling, and end-to-end project delivery. The channel and catalogue now include 70+ videos and articles built for people learning modern data systems in public.

Completed an MBA focused on management, strategy, and business operations. Earlier academic foundation: B.Sc. Civil Engineering, Michael Okpara University of Agriculture, Umudike.

Certifications include Azure Data Engineer Associate, Data Analyst Associate, Microsoft Certified Trainer, IBM Data Science Professional Certificate, Python for Everybody, and Machine Learning with Python.

BigQuery, GCS, Azure, Cloud Composer, Fabric, ADLS, Redshift, Databricks, Spark, PySpark, dbt, Dataform, Airflow, Prefect, Terraform, GitHub Actions, Power BI, Snowflake, SQL, Python, and Jinja.