Maureen W.

I’m a results-driven Data Engineer, Google Cloud Platform (GCP) Specialist, and Business Intelligence professional specializing in cloud data warehousing, ETL/ELT pipelines, database management, data automation, and analytics. I help businesses build scalable data infrastructure, integrate data from multiple sources, automate reporting, optimize databases, and transform raw data into actionable insights using Python, SQL, Google Cloud, and Business Intelligence tools. PROVEN IMPACT Improved reporting accuracy to 98% through data validation and quality controls. Reduced manual reporting time by 70% through Python, SQL, and workflow automation. Improved forecasting accuracy by 35% through advanced analytics and data processing. Increased operational and reporting efficiency by 45–65% through automated pipelines, data integration, and BI solutions. GOOGLE CLOUD PLATFORM (GCP) BigQuery – Data warehousing, SQL analytics, query optimization, and data modeling Cloud Storage – Data lakes, cloud storage, and data integration AlloyDB – PostgreSQL-compatible cloud databases Data Lakes & Lakehouse Architecture BigQuery ML and Vector Search Cloud Data Warehousing and Data Migration DATA ENGINEERING & DATABASE MANAGEMENT Python and SQL development ETL/ELT pipeline development and automation REST API integration and data ingestion Data cleaning, transformation, and validation PostgreSQL, MySQL, and SQL Server Database optimization and data modeling Automated workflows and scheduled reporting Data quality assurance and pipeline troubleshooting BUSINESS INTELLIGENCE & ANALYTICS Power BI, Tableau, and Looker Studio Interactive dashboards and KPI tracking Advanced Excel and Google Sheets SQL analytics and business reporting Data visualization and performance analysis Reporting automation and data integration SELECTED PROJECT EXPERIENCE 🔹 Google Cloud Data Warehousing: Built cloud-based analytical solutions using BigQuery, Cloud Storage, and AlloyDB, including SQL transformations, data integration, and lakehouse architecture. 🔹 ETL Pipelines & Automation: Developed Python and SQL pipelines to extract, clean, transform, and load data from APIs and databases while automating recurring workflows. 🔹 Business Intelligence: Built interactive Power BI dashboards and automated reporting systems to improve KPI monitoring, reporting accuracy, and operational efficiency. 🔹 Database Management: Managed relational databases, optimized SQL queries, and developed structured reporting solutions to support business analytics. TECH STACK Python | SQL | BigQuery | Cloud Storage | AlloyDB | PostgreSQL | MySQL | SQL Server | Pandas | NumPy | Databricks | Apache Spark | Power BI | Tableau | Looker Studio | Excel | Google Sheets | REST APIs | FastAPI | Git/GitHub | GCP | AWS | Azure WHY WORK WITH ME? I combine cloud engineering, database management, and business intelligence to deliver reliable, scalable, and practical data solutions. I communicate clearly, work independently, and focus on measurable business outcomes. LET’S WORK TOGETHER Need a BigQuery expert, Google Cloud Data Engineer, SQL developer, ETL specialist, or Power BI professional? Let’s discuss how I can help streamline your data infrastructure, automate workflows, and turn your data into valuable business insights.