T Gnani

About T Gnani

Senior Data Engineer blending cloud native data engineering with applied machine learning, with nearly five years of experience turning noisy, high volume data into decision grade assets across financial services, insurance, healthcare, and manufacturing environments. My work spans data lakes, data warehouses, and Lakehouse architectures on AWS and Azure, where I design and automate robust ETL and ELT pipelines across batch and streaming workloads that reduce data preparation time, improve availability by hours, and support near real time fraud and risk analytics.Beyond building pipelines, I focus on making data products trustworthy and sustainable enforcing governance, embedding quality and validation controls, and implementing monitoring and observability so both data pipelines and machine learning workflows operate reliably in production. This ensures models receive well documented inputs and can be monitored, retrained, and audited with confidence. I enjoy working closely with analytics, product, and business stakeholders to translate ambiguous problems into clean architectures, measurable SLAs, and reproducible workflows that drive revenue, risk reduction, and operational efficiency.Curious and collaborative by nature, I thrive in teams that value clear design, pragmatic engineering, and disciplined execution where machine learning enabled data platforms are treated as core infrastructure for faster, smarter, and more accountable decision-making

Experience

1. Data Engineer

   Synchrony

   Mar 2025 — Present · Stamford, CT, US

Education

• University of Central Missouri

  Master of Science - MS, Computer Science