- Designed dimensional models with 40+ fact tables and 25+ dimension tables using star schema, enabling consistent analytics across the organization
- Built medallion lakehouse (Bronze/Silver/Gold) for progressive data refinement, processing 10,000+ SKUs daily with 95%+ data accuracy
- Created semantic layers ensuring consistent business logic across 50+ reports and dashboards, achieving 87% faster analytics delivery
- Improved data freshness from 48 hours to 2-4 hours (90%), enabling same-day business decisions
- Developed 3-tier data quality framework identifying 500+ issues, reducing analytics incidents by 70%
Godson Kurishinkal Antony
Senior Data Engineer | Analytics Engineering & BI
Professional Summary
Senior Data Engineer with 5+ years engineering data architecture to support analytics and business intelligence. Built dimensional models with 40+ fact tables and 25+ dimension tables, designed medallion lakehouse (Bronze→Silver→Gold) for progressive data refinement. Created semantic layers ensuring consistent business logic across 50+ reports and dashboards, achieving 87% faster analytics delivery and 95%+ data accuracy.
Technical Skills
Professional Experience
- Built 50+ automated transformation pipelines powering analytics with proper dimensional modeling and fact table design
- Designed Universal Replenishment Engine with ensemble forecasting (15+ algorithms), inventory optimization using (s,S) policy
- Developed Power BI semantic models with DAX, ensuring consistent business logic and reducing ad-hoc query time by 60%
- Created real-time Streamlit dashboards enabling same-day business decisions for 50+ stakeholders
- Implemented slowly changing dimensions and data quality frameworks with 95%+ uptime
- Built end-to-end analytics platform managing supply chain data lifecycle from capture to reporting
- Reduced manual reporting by 50% and improved operational efficiency by 15% through Python automation
- Deployed 5+ RPA bots (Selenium/PyAutoGUI) for legacy system automation, eliminating manual data entry
- Developed ETL pipelines and data transformation workflows for multi-source integration
Key Projects
Dimensional data platform with Bronze/Silver/Gold layers, 40+ fact tables, 25+ dimensions, and semantic layers ensuring consistent business logic across all analytics.
Ensemble forecasting with automatic algorithm selection (ADI/CV2 classification), inventory optimization with safety stock calculations, reducing stockouts by 30%.
Configuration-driven transformation framework with schema validation, data quality checks, and FULL/INCREMENTAL modes. Production-grade code with type hints and documentation.
Education
Indian Institute of Technology, Madras (IIT Madras)
Foundation Level in Programming and Data Science (Currently pursuing)
Carmel Polytechnic College
CGPA: 8.46