Summary
V B is a Big Data Engineer with a decade of experience designing and deploying scalable data pipelines and analytics for ML-driven decision making. He blends deep practical skills across Hadoop, Hive, Kafka, Snowflake and multi-cloud platforms (AWS/GCP/Azure) with hands-on data modeling and ETL optimization to shave query latency and memory use. His background includes large-scale Teradata and MySQL analytics, advanced feature engineering, and applied ML (GBM, PCA, SVM, anomaly detection) for business and clinical problems. A former clinical pharmacist, he brings domain rigor to healthcare analytics and provenance-aware data design, which aids in reproducible models and meaningful metrics. He also experiments with data-pathway configurations and streaming trade-offs, and shares lab-focused projects on GitHub that reflect a practical, learning-first approach to engineering.
10 years of coding experience
Doctor of Pharmacy - PharmD Pharmacy, Doctor of Pharmacy - PharmD Pharmacy at Xavier University of Louisiana
Certificate Business Metrics and Intelligence, Certificate Business Metrics and Intelligence at Duke University
Certificate Machine Learning, Certificate Machine Learning at Stanford University