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Aatif AhsanAA
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Aatif Ahsan

@aatifahsan

I build governed cloud data platforms and healthcare lakehouses that turn complex data into trusted analytics.

United States
Message

What I'm looking for

I'm looking to lead and build governed cloud data platforms, especially for healthcare and enterprise analytics, where I can combine hands-on engineering, architecture ownership, data governance, and mentoring to improve reliable access to AI/ML-ready data.

At Spark Advisors, I architect enterprise healthcare data platforms that unite 25+ EHR, claims, laboratory, pharmacy, and operational sources for clinical, operational, and analytical use cases.

I've delivered HIPAA-compliant ETL/ELT pipelines with Azure Data Factory, Databricks, Python, SQL, and Palantir Foundry, automating millions of healthcare records. My lakehouse architecture improved analytics scalability by 35%, while pipeline tuning delivered 25–30% faster execution and reduced healthcare data latency from hours to minutes.

Previously, I built 100+ automated ETL/ELT workflows at LangChain and high-volume Kafka pipelines that cut analytics latency by 50%. At SentiLink and ReversingLabs, I engineered distributed Spark pipelines, cloud data lakes, integrations, and production deployment practices for large-scale enterprise data.

I combine hands-on engineering with architectural ownership, building governed data products with lineage, quality controls, PHI/PII protection, and reliable access for reporting, analytics, and machine learning. I also mentor engineers and translate healthcare and business requirements into production-ready cloud data solutions.

Experience

Work history, roles, and key accomplishments

SA
Current

Lead Data Engineer

Spark Advisors

Nov 2022 - Present (3 years 10 months)

Architect enterprise healthcare data platforms integrating 25+ EHR, claims, laboratory, pharmacy, and operational sources into a unified ecosystem. Deliver HIPAA-compliant ETL/ELT pipelines with Azure Data Factory, Databricks, Python, SQL, and Palantir Foundry, and implement scalable lakehouse architecture for multi-terabyte workloads.

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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