Profile

Data Analytics Engineer with experience across enterprise and startup environments, delivering end-to-end data solutions in business intelligence and analytics engineering applications. Proven track record building scalable BI reporting and driving data quality initiatives that improve data reliability and support decision-making across large user bases. Skilled in SQL, Python, Power BI, and data modeling, with experience in KPI definition, ETL processes, and dashboard lifecycle management. Adept at translating business requirements into scalable reporting and analytics solutions within agile environments, enabling stakeholders through actionable insights and data-driven reporting solutions.

Career Highlights

• Delivered end-to-end Data Quality reporting solution tracking 20 quality issues, reducing new issues by 50% through monitoring and process improvements while enabling teams to resolve of 100s of existing inaccuracies.
• Established a data infrastructure optimization roadmap using quantitative prioritization, improving loading times across 12 BI dashboards by ?30% after first changes.
• Developed a Usage Monitoring report tracking 45+ BI reports used by 2000+ employees, enabling proactive engagement with stakeholders and improving continuity of business-critical reporting.

Skills

Technical & Tools:

• Python 
• SQL 
• Power BI 
• DAX 
• R 
• Excel 
• Spotfire 
• Git 
• Jira

Data & Analytics:

• ETL 
• Data Modeling 
• Visualization Design 
• Metric Definition 
• Machine Learning

Business:

• Agile/Scrum 
• Six Sigma 
• Stakeholder Communication 
• Requirements Translation 
• Presentation & Storytelling