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Hi, I’m JHEEL AMIN. I’m a results-driven Azure and Snowflake Data Engineer with over 4 years of experience delivering cloud-native data engineering solutions for leading U.S. organizations. I specialize in building secure, scalable data pipelines and data platforms that empower data-driven decision-making in payer and provider environments. I’ve led cloud modernization of claims, provider, and member data platforms, engineered end-to-end ETL/ELT pipelines, implemented real-time streaming with Kafka and Snowflake, and built robust data models with dbt. I’m passionate about HIPAA-compliant governance, automation, and delivering measurable outcomes such as faster claims processing, improved fraud detection, and CMS compliance readiness.…Hi, I’m JHEEL AMIN. I’m a results-driven Azure and Snowflake Data Engineer with over 4 years of experience delivering cloud-native data engineering solutions for leading U.S. organizations. I specialize in building secure, scalable data pipelines and data platforms that empower data-driven decision-making in payer and provider environments. I’ve led cloud modernization of claims, provider, and member data platforms, engineered end-to-end ETL/ELT pipelines, implemented real-time streaming with Kafka and Snowflake, and built robust data models with dbt. I’m passionate about HIPAA-compliant governance, automation, and delivering measurable outcomes such as faster claims processing, improved fraud detection, and CMS compliance readiness.

JHEEL AMIN

Data Scientist, Data Analyst, Developer, +2

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Hi, I’m JHEEL AMIN. I’m a results-driven Azure and Snowflake Data Engineer with over 4 years of experience delivering cloud-native data engineering solutions for leading U.S. organizations. I specialize in building secure, scalable data pipelines and data platforms that empower data-driven decision-making in payer and provider environments. I’ve led cloud modernization of claims, provider, and member data platforms, engineered end-to-end ETL/ELT pipelines, implemented real-time streaming with Kafka and Snowflake, and built robust data models with dbt. I’m passionate about HIPAA-compliant governance, automation, and delivering measurable outcomes such as faster claims processing, improved fraud detection, and CMS compliance readiness.…Hi, I’m JHEEL AMIN. I’m a results-driven Azure and Snowflake Data Engineer with over 4 years of experience delivering cloud-native data engineering solutions for leading U.S. organizations. I specialize in building secure, scalable data pipelines and data platforms that empower data-driven decision-making in payer and provider environments. I’ve led cloud modernization of claims, provider, and member data platforms, engineered end-to-end ETL/ELT pipelines, implemented real-time streaming with Kafka and Snowflake, and built robust data models with dbt. I’m passionate about HIPAA-compliant governance, automation, and delivering measurable outcomes such as faster claims processing, improved fraud detection, and CMS compliance readiness.

Available to hire

Hi, I’m JHEEL AMIN. I’m a results-driven Azure and Snowflake Data Engineer with over 4 years of experience delivering cloud-native data engineering solutions for leading U.S. organizations. I specialize in building secure, scalable data pipelines and data platforms that empower data-driven decision-making in payer and provider environments.

I’ve led cloud modernization of claims, provider, and member data platforms, engineered end-to-end ETL/ELT pipelines, implemented real-time streaming with Kafka and Snowflake, and built robust data models with dbt. I’m passionate about HIPAA-compliant governance, automation, and delivering measurable outcomes such as faster claims processing, improved fraud detection, and CMS compliance readiness.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Azure Data Engineer at Children’s Health

March 1, 2024 - November 21, 2025

Designed and deployed Azure Data Lake Gen2 architecture to centralize claims, provider, and eligibility datasets. Built end-to-end ETL/ELT pipelines with Azure Data Factory and Databricks for integration of Epic EHR extracts and operational data. Migrated legacy SQL procedures to Synapse SQL pools, enabling lower latency and simpler maintenance. Enforced HIPAA compliance through RBAC and encryption; implemented data masking for PHI and managed identities. Automated CI/CD deployments with Azure DevOps across dev, test, and production. Created Power BI dashboards for throughput, readmission rates, and KPI tracking; partnered with governance teams to define metadata, lineage, and data quality rules.

Snowflake Developer at Haramain Systems Inc

February 29, 2024 - February 29, 2024

Architected Snowflake-based data warehouses and pipelines, enabling analytical and operational reporting. Ingested data from on-prem SQL Server and Oracle using Azure Data Factory; designed Kimball dimensional models (Star/Snowflake schemas) for efficient querying. Implemented Snowflake Streams and Tasks for near real-time data refresh. Built warehouses with optimized compute and tuning; created stored procedures and UDFs in Snowflake (SnowSQL and Python). Integrated with Power BI and Tableau; enforced RLS and masking for data security. Collaborated with QA and DevOps to implement Git-based version control and CI/CD via Jenkins.

Intern Data Engineer at ConnectiCare

September 30, 2022 - September 30, 2022

Developed ingestion pipelines in ADF to process dental and medical claims data from third-party administrators and EDI feeds. Designed and executed Snowflake stored procedures and UDFs to clean, deduplicate, and enrich claims data for downstream reporting. Integrated Azure Functions with ADF pipelines to validate provider NPI, ICD-10 mappings, and eligibility records in real time. Built Power BI dashboards for fraud, waste, and abuse (FWA) detection. Migrated historical data from legacy SQL Server systems to Snowflake using bulk COPY INTO operations and optimized file formats (Parquet). Applied data masking and column-level encryption to PHI columns in transit and at rest. Created clustering for high-volume fact tables and materialized views for quicker report rendering. Regularly contributed to dbt models for encounter-level reporting and presented progress to governance teams.