Big Data Engineer specializing in streaming & batch architectures and large-scale analytics. I design scalable, reliable data platforms that power experimentation, personalization, recommendations, and data-driven products.
Every project follows the same backbone — raw events flow through warp-pipes from source to serving layer. Here’s the stack I reach for at each stage.
Click any project to open the case study — pipeline, metrics, and stack.
Real-Time Event Streaming
Jupyter → Go → Java
Medallion Migration
Multi-Env Orchestration
Real-Time Revenue Protection
Airflow + ClickHouse Pipeline
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Want to chat about data, pipelines, or work together? Reach out.
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