Ismail Ali

Build and maintain scalable ETL/ELT pipelines using PySpark, Airflow, and dbt to support enterprise healthcare analytics and operational reporting. Support modernization initiatives by migrating legacy workflows to GCP and contribute to near real-time data processing with Kafka.

Designed and supported healthcare data integrations between internal platforms, specialty pharmacies, provider systems, and external clients using Python, SQL, APIs, SFTP, and event-driven workflows. Built and maintained ETL pipelines for processing healthcare datasets including HL7, FHIR, CSV, XML, and JSON.

Led the design and development of large-scale PySpark and SQL-based ETL/ELT pipelines supporting healthcare claims, eligibility, provider, and member data workflows. Owned business-critical production pipelines and played a key role in modernizing legacy on-prem ETL systems by migrating workloads to AWS.

Built and maintained ETL workflows supporting core healthcare datasets including claims, eligibility, provider, enrollment, and member data. Developed reusable transformation logic and supported migration of legacy batch workflows into distributed processing environments.

Developed SQL-based reports, dashboards, and ad hoc analyses for claims operations, healthcare finance, and business teams. Assisted in building and maintaining ETL workflows feeding enterprise reporting systems.

Pursued a Bachelor of Science in Information Technology, gaining foundational knowledge in computing and information systems.