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Jamel Khan

@jamelkhan

I build cloud-native real-time data platforms and AI-driven analytics systems.

Canada
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What I'm looking for

I'm looking to lead and build scalable cloud-native data platforms, real-time intelligence systems, and AI-driven workflows while mentoring teams and delivering secure, compliant solutions for complex enterprise data challenges.

At Optable, I lead the design and operation of cloud-native data platforms and lakehouse architectures on Azure and AWS, processing more than 10 million healthcare records daily while meeting HIPAA, FHIR, HL7, SOC 2, and GDPR requirements.

I build real-time pipelines with Kafka, NiFi, and Flink, reducing latency by 50%, and create ETL/ELT frameworks with dbt, Airflow, and Fivetran that cut pipeline execution time by 45%.

Previously at Qohash, I scaled multi-terabyte Python, Spark, dbt, and SQL pipelines, increased throughput by 60%, and developed event-driven ingestion and warehouse models for analytics, fraud detection, and predictive workflows.

I also bring experience from BlueDot building automated ETL pipelines, warehouse schemas, dashboards, and data-quality frameworks. I enjoy leading engineering initiatives, mentoring teams, and delivering secure, reliable data systems across healthcare, financial services, and enterprise domains.

Experience

Work history, roles, and key accomplishments

OP
Current

Lead Data Engineer

Optable

Jan 2023 - Present (3 years 8 months)

Led the design and operation of large-scale, cloud-native data platforms and lakehouse architectures on Azure and AWS, processing over 10M+ healthcare records daily while maintaining full compliance with HIPAA, FHIR, HL7, SOC2, and GDPR standards. Engineered high-throughput real-time data pipelines using Kafka, NiFi, and Flink, significantly improving data freshness and reducing latency by 50%.

Education

Degrees, certifications, and relevant coursework

Jamel hasn't added their education

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