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Sushant VarshneySV
Open to opportunities

Sushant Varshney

@sushantvarshney

I build and scale enterprise data platforms and SaaS integrations for business-critical data products.

India
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What I'm looking for

I'm looking to lead enterprise data platforms and integration architecture, build trusted data products, and mentor teams delivering scalable, governed systems.

I lead the GTM Integration Platform, building and scaling data products that support LSS, LMS, LTS, GBO, and GTM organizations.

I own 500+ production pipelines and 1,000+ enterprise datasets, processing and governing 300+ GB of business-critical data daily while maintaining sub-2-hour SLA targets. I lead Salesforce, Dynamics 365, Gong, Gainsight, and Salesloft integrations.

I manage and mentor a team of eight engineers and contractors, define the architecture roadmap for enterprise integration and Lakehouse modernization, and establish standards for data quality, governance, observability, and metadata management.

Previously, I built enterprise data solutions at Adobe, designed Data Lakes, Data Warehouses, and Customer 360 solutions at Evalueserve, and developed ETL pipelines at Yash Technologies. My work has earned three Global Recognition Awards for platform modernization and enterprise integration initiatives.

Experience

Work history, roles, and key accomplishments

Adobe logoAD

Data Engineer

Jan 2021 - Dec 2022 (1 year 11 months)

Designed and implemented enterprise-scale data solutions within Adobe Experience Platform using Spark, Scala, Python, Airflow, Docker, and AWS.

Evalueserve logoEV

Senior Business Analyst

Evalueserve

Jan 2019 - Dec 2021 (2 years 11 months)

Designed and implemented Data Lakes, Data Warehouses, and Customer 360 solutions using AWS and Azure.

Education

Degrees, certifications, and relevant coursework

Centre for Development of Advanced Computing logoCC

Centre for Development of Advanced Computing

PG-DAC, Advanced Computing

Post Graduate Diploma in Advanced Computing from the Centre for Development of Advanced Computing.

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