About
An AI & Data Engineering Leader with 14+ years of experience, specializing in architecting scalable cloud data platforms and production-grade AI systems across Azure and Snowflake ecosystems. Proven expertise in advanced data warehousing, AI/ML pipelines (RAG, agentic orchestration), and cloud architecture, consistently delivering deployable, observable, and governed AI-enabled solutions. Drives strategic data initiatives with a strong product mindset, optimizing performance and ensuring secure, efficient data ecosystems.
Projects
Work
Ernst & Young (EY)
|Manager, Data & Analytics
Mumbai, Maharashtra, India
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Summary
Spearheaded data & analytics initiatives, leading the design and implementation of scalable cloud data platforms and AI solutions for high-volume enterprise workloads.
Highlights
Designed and implemented robust Snowflake-based analytical data models, optimizing performance and scalability for high-volume enterprise workloads.
Developed and deployed automated data pipelines leveraging Snowflake Tasks and Streams, enhancing data orchestration and transformation efficiency across critical business processes.
Engineered and enforced secure Role-Based Access Control (RBAC) models, ensuring granular and controlled access to sensitive enterprise data.
Successfully integrated Azure OpenAI solutions with structured Snowflake data layers, enabling advanced Generative AI capabilities for critical business use cases.
Pioneered the development of Retrieval-Augmented Generation (RAG)-based validation systems and agentic workflows, significantly improving automated QA and code validation processes.
Directed cross-functional engineering teams in the successful delivery of scalable, cloud-native data architectures, driving innovation and efficiency.
Fractal Analytics
|Senior Product Engineer
Mumbai, Maharashtra, India
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Summary
Led the delivery of Azure-based big data architectures and enterprise analytics solutions, designing scalable SQL transformation frameworks and collaborating with stakeholders.
Highlights
Delivered robust Azure-based big data architectures and comprehensive enterprise analytics solutions, enhancing data processing capabilities for key clients.
Architected scalable SQL-based transformation frameworks, improving data integration and processing efficiency for large datasets.
Partnered with key stakeholders to implement enterprise-grade analytical systems, ensuring alignment with business objectives and data quality standards.
Optimized data processing workflows and ETL pipelines, reducing latency and improving data availability for critical business intelligence applications.
Accenture
|Tech Lead
Mumbai, Maharashtra, India
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Summary
Led the development of enterprise data processing modules and reusable architecture components, improving system performance and mentoring engineering teams across large-scale delivery programs.
Highlights
Developed and implemented enterprise-grade data processing modules and reusable architectural components, enhancing system scalability and maintainability for client solutions.
Optimized system performance and streamlined the development lifecycle, leading to significant efficiency gains and improved project delivery timelines.
Mentored and guided engineering teams across multiple large-scale delivery programs, fostering technical growth and ensuring successful project execution.
Contributed to the successful delivery of complex data solutions for key clients, consistently meeting stringent performance and reliability requirements.
Education
Mumbai University
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B.E.
Computer Science