Akash Kamble is a Data Engineer and Data Scientist with over nine years of experience delivering advanced analytics, machine learning solutions, and scalable data engineering platforms within the healthcare and life sciences industries. He has specialized expertise in clinical data integration, pharmacovigilance automation, HEDIS reporting, regulatory compliance, and cloud-based data architectures.
Currently serving as a Project Delivery Senior Analyst at Deloitte Consulting LLP, Akash has led the development of large-scale clinical data integration solutions for Elevance Health. He architected ETL pipelines using Apache Spark and AWS to process over 50 million daily transactions from multiple EMR systems, supporting more than 2.5 million members with high reliability and low latency. He also automated HEDIS quality measure calculations, implemented FHIR-based interoperability platforms, and developed predictive analytics models that improved care coordination and operational efficiency while maintaining HIPAA and NCQA compliance standards.
Before Deloitte, Akash worked at Accenture across several healthcare and pharmaceutical initiatives. As a Senior Data Engineer on the INTIENT Pharmacovigilance Platform, he developed AI-powered NLP models using Python, TensorFlow, and spaCy to extract structured information from adverse event reports with high accuracy. He implemented automated MedDRA coding systems, architected serverless GCP data pipelines, and designed workflow orchestration frameworks that ensured timely FDA regulatory reporting and compliance with FDA 21 CFR Part 11 standards. His work significantly reduced operational costs while improving patient safety outcomes through faster adverse event identification.
In his earlier role on the INTIENT Clinical Platform, Akash designed ETL pipelines integrating data from multiple clinical systems to support global clinical trials. He developed automated CDISC SDTM and ADaM dataset generation frameworks, built enterprise-scale data warehouses on BigQuery and Snowflake, and implemented real-time data quality systems that improved compliance and reduced validation timelines. He also created predictive analytics solutions for patient recruitment optimization and risk-based monitoring, helping accelerate study startups and improve clinical operations.
Earlier in his career, Akash contributed to enterprise data warehousing and analytics modernization initiatives at Accenture, where he designed large-scale Snowflake and Amazon Redshift environments, developed ETL workflows using Informatica PowerCenter, and led cloud migration initiatives to AWS and GCP. He also built self-service business intelligence platforms and predictive analytics models for forecasting and demand planning while establishing strong data governance and CI/CD practices for global operations.
Akash earned a Master of Science in Artificial Intelligence with a Data Science specialization from Long Island University, Brooklyn, graduating with a GPA of 3.82, and holds a Bachelor of Engineering from Dayananda Sagar College of Engineering in Bangalore, India. He has been recognized with the Accenture Delivery Excellence Award and for his contributions to the adoption of the INTIENT platform by leading pharmaceutical companies.