Real-time Analytics Platform
Kafka and Spark streaming pipeline processing 1M events per second with fault-tolerant event ingestion.
Architecting low-latency distributed systems and massive-scale ETL pipelines. I build the robust infrastructure that powers real-time analytics for global enterprises.
Company names are intentionally omitted for confidentiality; scope and outcomes reflect production work.
Architected a multi-region data mesh serving 50+ internal teams. Reduced cloud infrastructure costs by 30%.
Built and owned the company's core data platform, enabling self-serve analytics for 20+ business teams.
Developed ETL pipelines and data models supporting product analytics for 5M+ daily active users.
Selected platform work focused on reliability, observability, and reusable delivery patterns.
Kafka and Spark streaming pipeline processing 1M events per second with fault-tolerant event ingestion.
Airflow-orchestrated Snowflake pipelines that reduced nightly batch runtime by 45%.
Built Kafka-to-Snowflake CDC templates for domain teams to self-serve compliant datasets.
I play competitively on weekends, always looking to improve my striking and tactical awareness on the pitch.
Nothing beats a 20-minute sauna session after a long day of engineering. It is my reset button for recovery and deep thinking.
Lifting heavy and staying mobile. Consistency in the gym translates directly to discipline and focus at the keyboard.
Always on the hunt for the best local eats, from hidden street food gems to trying my hand at cooking new cuisines at home.