Samarth KaPatel

About

I am a Data Engineer. I build reliable data pipelines that help teams use data to make business decisions. My work includes data collection, data models, deployment, and system maintenance. I have built systems for load forecasts, Shopify analytics, and inventory reports. I use Python, SQL, Airflow, AWS, Snowflake, and dbt. I design pipelines to check data quality, detect failures, and support recovery. I’m also building Convalesce, an agentic AI platform designed to detect, diagnose, and recover from failures in data infrastructure. The goal is to help data teams spend less time troubleshooting and more time building.

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Tastemaker
Tastemaker
Gone streaking
Gone streaking

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Convalesce - AI that diagnoses and repairs failed data workflow

Convalesce is building the self-healing layer for data infrastructure. When production data workflows fail, it reconstructs context across systems, identifies the root cause, determines the safest recovery action, and verifies that the workflow is healthy again. Starting with human-approved fixes, Convalesce will progressively automate recovery, with the long-term goal of becoming an autonomous data engineer that keeps production data systems running.
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