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Sarvain Sulman

@sarvainsulman

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Lead Data Engineer modernizing enterprise lakehouse platforms with Databricks, Spark, and governed cloud pipelines.

United States

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What I'm looking for

I’m looking to lead data platform modernization—building governed, scalable Lakehouse pipelines for analytics and AI/ML, partnering across teams, and mentoring engineers to deliver reliable, high-performance outcomes on AWS and Azure.

I’m a data engineering leader specializing in enterprise data platform architecture, modernization, and scalable cloud solutions across healthcare, financial services, FinTech, SaaS, and e-commerce. I build cloud-native Lakehouse architectures and scalable batch and real-time data pipelines to support analytics, reporting, AI/ML, and business intelligence.

In my recent roles, I’ve architected enterprise-scale Lakehouse platforms with Databricks, Delta Lake, Apache Iceberg, and Unity Catalog, designed governed analytics pipelines, and led modernization across AWS and Azure. I’ve delivered high-volume processing (15B+ daily events), improved production reliability through data governance and automated quality validation (including a 70% reduction in production data issues), and migrated 200+ Hadoop/Hive workloads to modern Lakehouse patterns—also cutting CDC replication latency from hours to minutes while mentoring engineering teams to deliver best-practice, high-performance platforms.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Datavail

Sep 2022 - Present (3 years 11 months)

Architects and delivers enterprise-scale Lakehouse platforms using Databricks and Delta Lake to support analytics and AI/ML workloads. Leads data pipeline modernization and enterprise data governance, including lineage, RBAC, PII protection, and automated data quality validation.

Senior Data Engineer

Kyruus Health

Apr 2019 - Aug 2022 (3 years 4 months)

Designed HIPAA-compliant healthcare data platforms and modernized data workloads from Hadoop/Hive to Spark-based Lakehouse architecture on AWS. Built enterprise ETL/ELT pipelines, CDC integrations, and data observability and quality automation using governed analytics practices.

HIPAA compliance Apache Spark Lakehouse Architecture Apache Iceberg Python SQL Scala Airflow DBT Debezium CDC Kafka Feast Redis Great Expectations Monte Carlo OpenTelemetry Data Observability ETL ELT HIPAA

Data Engineer

Treeline Inc.

Oct 2015 - Mar 2019 (3 years 5 months)

Developed scalable cloud data pipelines and enterprise data warehouse solutions using Azure services and Spark for analytics and fraud detection. Implemented pipeline monitoring and performance optimizations to improve reliability and scalability, supporting migrations to modern cloud data platforms.