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@muhammadfurqan5
Senior Data Engineer and Architect driving cloud migrations, big data platforms, and data governance.
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.
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Work history, roles, and key accomplishments
Healthon
Jan 2022 - Present (3 years 10 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.
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.
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.
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