Summary
Designed and deployed a Retrieval-Augmented Generation (RAG) system integrated with Azure OpenAI and enterprise Snowflake layers for automated QA and code validation.
Summary
Architected and modernized enterprise-scale cloud data platforms using Azure, Databricks, Microsoft Fabric, and Snowflake.
Summary
Developed robust big data architectures and scalable SQL transformation frameworks for global enterprise analytics platforms.
Manager, Data & Analytics
Mumbai, Maharashtra, India
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.
Senior Product Engineer
Mumbai, Maharashtra, India
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.
Tech Lead
Mumbai, Maharashtra, India
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.
Microsoft
Microsoft
Microsoft
ITIL
Warehousing, RBAC, Tasks, Streams, Performance Optimization, Data Modeling.
Azure OpenAI, Retrieval-Augmented Generation (RAG), Agentic AI Workflows, Generative AI.
Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, PySpark.
Apache Spark, Apache Kafka.
Advanced SQL, Data Modeling.
Cloud Architecture, Data Governance, Cost Optimization, Automation-first Pipelines, ETL, Data Orchestration.
Team Leadership, Cross-functional Collaboration, Project Delivery, Stakeholder Management.
Solution Architecture, Automated QA, Code Validation, System Performance Optimization, Development Lifecycle Efficiency.