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salman naqvi

@salmannaqvi

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Data Architect | Multi-Cloud Data Engineering | Big Data, Streaming & Lakehouse Platforms

United States

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What I'm looking for

I seek senior platform or architecture roles building multi-cloud lakehouse and real-time data platforms, with strong governance, team leadership, and opportunities to drive scalable analytics and ML-ready data products.

Data Architect with 12+ years of experience designing and scaling enterprise data ecosystems across AWS, Azure, and GCP, specializing in lakehouse architectures, real-time streaming platforms, and large-scale ETL/ELT modernization. Proven expertise in building highthroughput pipelines and governed analytics platforms supporting financial, healthcare, retail, and commerce systems, enabling AI/ML and enterprise reporting workloads. Experienced in leading cross-functional engineering teams, ensuring data governance and regulatory compliance (HIPAA/GDPR), and delivering reliable, high-performance data platforms that improve scalability, data availability, and real-time decision-making.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

Innovaccer

Oct 2021 - Present (4 years 4 months)

Designed and implemented scalable healthcare ingestion and lakehouse architectures using Kafka, Spark, Databricks, Delta Lake, and Snowflake; improved SLA compliance to 99.7% and reduced infrastructure costs by 28% while delivering HIPAA-compliant governance and realtime streaming pipelines.

Kafka Apache Spark Databricks Delta Lake Snowflake Airflow Python HIPAA CI CD Observability

Data Platform Architect

Innovaccer

Oct 2021 - Feb 2026 (4 years 4 months)

Designed enterprise data infrastructure supporting healthcare claims, EHR, and clinical analytics platforms
across AWS, Azure, and GCP environments.
Built real-time healthcare data ingestion pipelines using Kafka, REST APIs, and HL7/FHIR integrations enabling
near–real-time clinical data processing.

Senior Integration Engineer

Cribl

Aug 2018 - Sep 2021 (3 years 1 month)

Architected enterprise integration and real-time ingestion pipelines processing 850M+ monthly transactions using Kafka, Spark, NiFi and dbt, reducing data delivery latency by 35% and integration failures by 46%.

Kafka Apache Spark NiFi DBT Python Snowflake BigQuery Grafana Airflow Data Integration

Data Engineer

Fivetran

Dec 2015 - Jul 2018 (2 years 7 months)

Built ETL/ELT and streaming ingestion workflows using Kafka, Spark, Airflow and dbt processing 400M+ annual records, improving refresh efficiency by 33% and reducing runtime by 36%.

Kafka Apache Spark Airflow DBT Python Snowflake Redshift Great Expectations Tableau ETL

ETL & Data Warehousing Specialist

Talend

Aug 2013 - Nov 2015 (2 years 3 months)

Designed dimensional warehouses and ETL workflows using Talend, SSIS and Informatica processing 250M+ annual records, improving reporting performance by 30% and reducing operational effort via automation by 42%.