Hunny Kathuria

Multi-Agent Intelligence Platform: Architected an autonomous system processing 140, 000+ daily interactions using agent handshakes for transcription and speaker tagging.


100% Automated Audit Coverage: Engineered a compliance framework that eliminated manual oversight for high-scale enterprise interactions.


Zero-to-Insight Engine: Built a self-serve analytics engine using MCP architecture and Structured RAG, enabling deterministic time-series insights via natural language prompts.


Cost & Performance Optimization: Led the migration to Databricks Serverless, reducing processing time by 50% while maintaining zero-stale BI refreshes.


Efficiency Leadership: Reduced core development cycles by 50% through the strategic integration of Agentic AI tools like Cursor and Copilot.

Financial Data Engineering: Developed mission-critical OLAP cubes for global Tier-1 banks, including JPMorgan Chase and Societe Generale.


High-Scale OLAP Modeling: Designed multidimensional schemas to handle massive financial datasets, ensuring sub-second query performance for complex analytical reporting.


Performance Tuning: Optimized large-scale data aggregations and ETL pipelines to meet strict financial sector SLAs and data integrity requirements.

Legacy Data Modernization: Spearheaded the end-to-end migration of mission-critical Informatica ETL workflows to high-performance Hive/Spark architectures.

Infrastructure Transformation: Re-engineered static Informatica mappings into modular PySpark DataFrames, enabling distributed data processing and parallel execution at scale.

System Performance Tuning: Optimized large-scale Hive table access by leveraging Parquet columnar storage and predicate pushdown, resulting in significant reductions in query latency.

Pipeline Orchestration: Modernized job scheduling by integrating complex transformation logic into scalable data pipelines, ensuring data integrity and lineage preservation during cloud transitions.

Collaborative Technical Player: Partnered with cross-functional global teams to deliver scalable and secure data products used by millions of users across the Commercial Risk Solutions business.