chibuzo akana

I’m a results-driven Data Analyst with strong Data Engineering expertise and 4+ years of experience delivering analytics and data solutions. I focus on translating complex datasets into actionable business insights that improve efficiency, revenue growth, and strategic decision-making.

At APM Terminals (Maersk), I optimized SQL queries to reduce data recovery time by 40% and led the migration of on-premise systems to Azure, cutting ETL processing time by 25%. I also automated ETL pipelines and reporting workflows, eliminating 80% of manual effort, and designed KPI-driven Power BI dashboards that improved visibility into terminal performance.

Previously, at Quantum Analytics, I consolidated multi-source data to improve KPI tracking accuracy by 10% and built interactive dashboards that boosted strategic goal achievement by 35%. Earlier at Stockipedia, I introduced quality control processes to reduce data errors by 25% and delivered insights that contributed to 25% revenue growth, while standardizing reporting and supporting stronger data governance.

I’m certified in IBM Data Engineering, Microsoft Azure Data Engineering, and Google Advanced Data Analytics. I enjoy building scalable pipelines, developing interactive dashboards, and continuously refining KPI tracking, forecasting, and process automation to help teams make faster, better decisions.