Data Architect with 13+ years of experience in distributed data platforms, real-time pipelines, and cloud-native architectures. I build systems that scale — and tools that solve real-world problems.
Expertise
Design scalable batch and streaming systems using Spark, Kafka, Iceberg, and modern lakehouse architectures across cloud platforms.
Define engineering standards, CI/CD pipelines, and lead teams delivering production-grade data platforms with high reliability.
Build practical AI tools that automate real workflows — from hiring intelligence to data-driven decision systems.
Featured Product
AI Product
AI-powered resume screener that evaluates and ranks candidates against job descriptions with structured scoring, strengths & gaps analysis, and hiring recommendations.
Portfolio
Led end-to-end architecture of a Spark-based reconciliation platform handling financial data with strict SLA requirements.
Built event-driven orchestration using Kafka-triggered AWS Lambda controlling Airflow workflows with 100% SLA adherence.
Designed DBT-based incremental pipelines with attribute-level change detection across millions of records.
Blog
Turning resume screening into a structured decision system using LLMs and custom scoring logic.
Read more →Real production issues, root causes, and practical patterns to prevent them in large-scale pipelines.
Read more →Lessons from building large-scale batch & streaming systems across manufacturing and finance domains.
Read more →About Me
I'm a Data Architect with 13+ years of experience building and scaling distributed data platforms across manufacturing and finance domains. My work focuses on designing reliable, SLA-driven systems and applying AI to solve practical engineering problems.
Open to discussions on data architecture, system design, and applied AI.