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Aanas Naveed

@aanasnaveed

I build cloud-native lakehouse and streaming platforms for analytics, machine learning, and product teams.

United States
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What I'm looking for

I'm looking to build and lead cloud-native data platforms that power analytics, machine learning, and product use cases, with strong emphasis on scalable architecture, real-time systems, governance, reliability, and cost-aware engineering.

At Eemedix, I design and operate a cloud-native lakehouse platform with Databricks, Delta Lake, and Apache Kafka for multi-tenant SaaS analytics and product use cases. I build real-time event-driven pipelines with AWS Lambda, Amazon Kinesis, and Spark Streaming, while modernizing legacy ETL into scalable dbt and Snowflake ELT frameworks.

Previously at RetailMetrix, I architected retail analytics platforms using Apache Spark, Apache Flink, Snowflake, Kafka, and Delta Live Tables. I led cross-functional engineering squads and established data quality, observability, and domain-oriented modeling practices for merchandising, inventory, and supply-chain teams.

At Cohere Health and CoastPay, I built HIPAA-compliant healthcare pipelines and secure financial transaction platforms. My work covered HL7, FHIR, EHR data, fraud detection, payment reconciliation, machine learning pipelines, data governance, and regulatory reporting.

I focus on reliable, governed data systems that balance performance, cost, and long-term maintainability. I've delivered lakehouse modernization, real-time streaming, healthcare interoperability, and fraud analytics solutions across AWS, GCP, and Azure.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

BS

Bachelor of Science in Computer Science

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science.

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