Open to opportunities

Muhammad Furqan

@muhammadfurqan5

Message

Senior Data Engineer and Architect driving cloud migrations, big data platforms, and data governance.

United States

Message

What I'm looking for

I want a senior data engineering/architecture role building secure, compliant cloud data platforms and scalable ETL/streaming solutions, with opportunities to mentor and lead modernization initiatives.

I am a Senior Data Engineer and Data Architect with 10+ years designing and scaling enterprise data platforms across AI, finance, healthcare, and retail. I specialize in cloud migrations (AWS, GCP, Azure), petabyte-scale big data ecosystems, and high-performance ETL/ELT pipelines that power analytics, BI, and ML.

At Healthon and prior roles I led migrations from on-prem Hadoop to cloud services, built real-time Kafka/Spark streaming pipelines, and productionized NLP workflows (SpaCy, Transformers) to extract clinical insights. My work reduced infrastructure costs up to 35%, cut data processing times by as much as 40%, and delivered HIPAA- and GDPR-compliant solutions that accelerated decision-making by 30%.

I mentor engineering teams, enforce data governance (RBAC, encryption, GDPR, HIPAA), and champion observability and automation to achieve high uptime and faster incident response. I seek to build secure, scalable data platforms that enable analytics and ML to drive measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Healthon

Jan 2022 - Present (3 years 9 months)

Led migration of on-prem Hadoop to AWS, reducing infrastructure costs by 35% and enabling HIPAA-compliant analytics; architected Airflow/Python ETL and Kafka/Spark streaming pipelines that cut processing times from hours to minutes and achieved 99.9% pipeline uptime.

AWS Airflow Python Apache Spark Kafka HIPAA)ETL Streaming Observability Data Governance HIPAA

Senior Data Engineer

Point C

Mar 2018 - Dec 2021 (3 years 9 months)

Designed GDPR/HIPAA-compliant ETL pipelines in GCP BigQuery and Dataflow, modernized Snowflake warehouses to cut storage costs ~20%, and delivered NLP pipelines that improved clinical decision-making and population health analytics.

GCP)BigQuery Dataflow Airflow Snowflake NLP ETL Data Modeling Data Governance Automation GCP

Data Engineer

Inoxoft

Jul 2015 - Feb 2018 (2 years 7 months)

Built and maintained ETL pipelines with Spark and Airflow into Redshift and Snowflake, contributed Kafka streaming solutions for real-time analytics, and improved data ingestion, validation, and BI reporting workflows.