Perumal Kabali

• Designed and maintained scalable ETL pipelines using Python, PySpark, and SQL, ingesting multi-source patient-level data (EHR, claims, digital health) into a unified Snowflake-based Patient Insights Database.
• Partnered with clinical informatics and data science teams to define data requirements, implement standardized schema designs, and uphold data integrity and traceability.
• Developed reusable pipeline modules for data quality checks, metadata validation, and anomaly detection, improving pipeline reliability and onboarding efficiency.
• Engineered optimized Snowflake data models and SQL-based data marts, supporting longitudinal patient tracking, cohort discovery, and regulatory-grade analytics.

• Architected a private OpenStack cloud infrastructure for secure genomics data storage, enabling distributed research teams to execute high-throughput bioinformatics workflows.
• Automated ETL pipelines using Python and R, ensuring reproducible and accurate genomic data preprocessing and analysis.
• Resolved data ingestion challenges and improved data compatibility across bioinformatics tools, aligning with LIMS platforms.

• Led GTM strategy and sales optimization using CRM and market analytics dashboards, driving 3x revenue growth over 5 years.
• Leveraged market intelligence tools and competitor benchmarking to refine product positioning and optimize pricing strategy.

Curated peer-reviewed scientific journals using data mining tools for building a drug discovery knowledge database.