Mark Ata Adu

I’m a Data Analyst with hands-on experience building ETL pipelines, cloud data warehouses, reporting dashboards, and business intelligence solutions. I’ve focused on transforming raw operational data into structured insights—using Python, SQL, BigQuery, and visualization tools—to improve decision-making and operational visibility. I also bring an analytical mindset grounded in data cleaning, reporting automation, dashboard development, and operational analytics.

Most recently, as a Data & Business Analyst Intern at Iris Galerie in Paris, I developed Python ETL pipelines to process and standardize asset data from multiple warehouse systems and built BigQuery reporting tables and SQL transformation views for asset reconciliation. I automated data cleaning and normalization workflows with pandas and regex logic, implemented ownership allocation reconciliation across entities, and delivered Looker Studio dashboards plus automated HTML KPI reporting workflows to increase reliability and visibility. Earlier roles as a Business and Data Analyst Intern at Ateasefour and Sonatrach strengthened my reporting automation and KPI monitoring skills through operational analytics, data validation, and structured data preparation.