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Sam Naqvi

@samnaqvi2

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Staff Data Engineer specializing in multi-cloud distributed lakehouse and real-time streaming platforms.

United States

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What I'm looking for

I want to build and scale high-availability, cost-optimized multi-cloud data platforms—lakehouses, CDC ingestion, and real-time streaming—paired with strong governance and SLO-driven reliability, so teams can ship ML/GenAI with confidence.

I’m a Staff Data Engineer with 10+ years architecting and scaling multi-cloud, distributed data platforms for petabyte-scale analytics, real-time streaming, and production ML and GenAI workloads. I focus on lakehouse architecture, CDC ingestion, streaming reliability, data governance, and cost-optimized infrastructure across AWS, Azure, and GCP.

In my most recent role, I built a multi-cloud Snowflake and Databricks lakehouse processing 4B+ clinical and claims records monthly, delivering sub-minute data freshness and 99.95 percent reliability. I’ve implemented enterprise data contracts and policy-as-code governance to achieve HIPAA and SOC 2 compliance, reduced cloud spend by up to 35 percent, and mentored teams to improve standards, incident response, and cross-team adoption.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

Health Catalyst

Mar 2023 - Present (3 years 3 months)

Architected multi-cloud Snowflake and Databricks lakehouse processing over 4B clinical and claims records monthly, enabling sub-minute data freshness. Built governed ML data infrastructure and implemented policy-as-code (HIPAA/SOC 2), reducing incident frequency 48% and cloud spend 35% while maintaining 99.95% reliability.

Snowflake Databricks Apache Spark Kafka Delta Lake CDC Ingestion

Senior Data Engineer

Stripe

Jan 2021 - Feb 2023 (2 years 1 month)

Designed real-time fraud detection infrastructure processing 50M transactions daily using Kafka, Spark, Snowflake, and BigQuery. Delivered exactly-once streaming to reduce fraud response latency 55%, improved model accuracy 42% via offline/online feature consistency, and cut deployment cycle time 60% with automated CI/CD provisioning.

Kafka Apache Spark Snowflake BigQuery Exactly Once Processing DBT CI CD

Data Engineer

Datadog

Jun 2018 - Dec 2020 (2 years 6 months)

Migrated a legacy Oracle warehouse to Snowflake and Azure Synapse lakehouse, improving query performance 8x. Built ingestion pipelines for 2TB/day telemetry with Kafka and Spark, reducing analytics latency 70% and infrastructure cost 28% through compute optimization.

Snowflake Azure Synapse Kafka Apache Spark Telemetry ETL Query Optimization

Junior Data Engineer

Costco

Jul 2015 - May 2018 (2 years 10 months)

Built ETL pipelines integrating POS, inventory, and logistics data into Redshift and BigQuery to improve data availability SLAs by 40%. Developed demand forecasting datasets improving inventory turnover 18% and supported migration from on-prem SQL Server to AWS analytics.

ETL Amazon Redshift BigQuery AWS Migration SQL Server Inventory Forecasting SQL Data Modeling