Professional Experience
My journey in data analytics engineering
Data Consultant
Analyzed complex datasets to derive actionable business insights and support strategic decision-making.
- Architected an event-driven data platform on GCP for multi-tenant analytics with scalable pipeline integrating multiple sources
- Designed scalable data infrastructure leveraging BigQuery and Terraform for infrastructure as code deployment
- Extracted and transformed Microsoft 365 data using Python (Jupyter) for analysis
- Built custom dashboards using Power BI, reducing reporting time by 30% and enhancing business decision-making capabilities
Analytics Engineer
Leading data analytics initiatives to improve supply chain efficiency and optimize data-driven decision making.
- Architected enterprise data warehouse using Kimball methodology, implementing 10+ dimension/fact tables in Snowflake
- Built and optimized 10+ dbt models reducing processing time by 30%
- Developed data quality monitoring dashboards for ML team, enabling efficient detection of incomplete data patterns and improving supply chain visibility prediction accuracy
- Designed carbon emissions dashboards to track and analyze transportation impact metrics across different carriers
- Performed ad hoc analysis using Snowflake to answer business questions and support data-driven decision making
- Led the design and maintenance of documentation for data pipelines and dashboards, reducing onboarding time
Education
My academic background and professional development
Master's in Artificial Intelligence For Marketing
Focused on advanced machine learning techniques, big data processing, and statistical analysis. Graduated with distinction and completed a thesis on The Effects of Augmented Reality on Purchase intention