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Farooq Ahsan

@farooqahsan

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Senior Data Solution Architect specializing in scalable big data platforms and ETL.

United States

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What I'm looking for

I seek a senior engineering or solution-architect role building scalable, compliant cloud data platforms, enabling analytics and real-time pipelines within collaborative teams focused on impact and governance.

I am a results-driven Senior Data Solution Architect with deep expertise designing scalable cloud-native big data platforms, high-performance ETL pipelines, and interoperable healthcare data solutions. I have delivered measurable improvements—reducing processing time by 45% and building compliant, secure data solutions across healthcare, finance, retail, supply chain, transportation, and energy.

I partner with data scientists and stakeholders to deploy production-ready analytics, real-time streaming pipelines, and governance frameworks that ensure regulatory compliance (HIPAA, PCI-DSS, SOC 2) and high data quality. My hands-on technical experience spans Spark, Kafka, Hadoop, cloud platforms (AWS, Azure, GCP), data warehousing, and modern orchestration tools to drive business insights and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Solution Architect

Current

FinHealth Analytics Inc

Nov 2020 - Present (4 years 11 months)

Designed and implemented HIPAA-compliant, cloud-based data platforms and ETL pipelines processing millions of patient records; reduced data processing time by 45% and enabled interoperability via HL7/FHIR to improve patient outcomes.

Cloud Architecture HIPAA)ETL HL7 FHIR Apache Spark Hadoop Data Governance HIPAA

Big Data Engineer

Global Retail Corp

Mar 2017 - Oct 2020 (3 years 7 months)

Designed real-time fraud detection pipelines with Spark Streaming and Kafka and built ingestion frameworks for AML/KYC compliance, reducing operational costs and improving financial reporting accuracy.

Kafka Python SQL Data Ingestion

Data Engineer

MD Tech Solutions, LLC

May 2016 - Feb 2017 (9 months)

Built recommendation systems from clickstream data and inventory forecasting models, and automated ETL workflows with Airflow and Redshift to ensure timely analytics delivery and improve engagement and stock accuracy.