Chirag Gajiwala is an AWS-certified Software Engineer with over nine years of experience in data engineering, machine learning, and cloud security. His expertise lies in building big data workflows, integrating data via ETL processes, and applying machine learning models for clustering, classification, and anomaly detection. Skilled in cloud-based data engineering on AWS and Azure, Chirag has developed robust data pipelines and security frameworks, contributing to cloud infrastructure cost savings, improving efficiency of data pipelines and also improved security posture of the data workflows.
Currently, as a Member of the Technical Staff at Nutanix, Chirag leads data strategy initiatives, achieving notable success with $10 million in cost savings through data center consolidation and automation. His work in enhancing data workflows, developing ML models for product security, and leveraging neural networks has enhanced hardware recommendations and security analysis by up to 20%. Chirag’s previous roles include impactful work at Secureapp Technologies and Santander Bank, where he focused on statistical analytics, fraud detection, and credit risk reporting for consumer finance products, improving reporting times by two weeks and increasing customer engagement by 15% during peak seasons.
Chirag holds an M.S. in Information Systems from Northeastern University and a B.E. in Electronics and Communication Engineering from Mumbai University. His certifications and technical skills include AWS Security Specialty, SQL, Python, and expertise in data visualization with Tableau, making him a versatile professional equipped to drive innovation in data engineering and cloud security.