Featured Projects

Built a scalable real-time data pipeline processing millions of events daily, leveraging Apache Iceberg for efficient data lakehouse operations.

• Reduced data processing latency by 60%
• Implemented incremental processing with SCD Type 2
• Automated data quality checks and reconciliation

Developed an AI-powered analytics platform using RAG architecture to enable natural language querying of business data.

• Integrated LLM with enterprise data sources
• Implemented semantic search and context retrieval
• Reduced time-to-insight by 75%

Established comprehensive data governance framework ensuring data quality, lineage tracking, and compliance across the organization.

• Implemented automated data quality monitoring
• Created end-to-end data lineage visualization
• Achieved 99.9% data accuracy SLA

Led migration of legacy on-premise data infrastructure to AWS cloud, optimizing for cost and performance.

• Reduced infrastructure costs by 40%
• Improved system reliability to 99.95% uptime
• Containerized all data processing workloads