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Fati Basit

@fatibasit

Lead Data Engineer and Data Solution Architect building secure, real-time cloud platforms for large-scale analytics.

United States
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What I'm looking for

I’m looking for remote-friendly roles where I can lead cloud-native data engineering—real-time streaming, secure governance, and modernization—building platforms that cut latency, improve data quality, and enable analytics and AI at scale.

I build and scale enterprise data platforms for healthcare and fintech, supporting “50B+ healthcare records,” millions of daily transactions, and mission-critical analytics. I bring cloud-native architecture and real-time streaming expertise across AWS, Azure, and GCP.

In my current role, I architected and delivered fully cloud-native healthcare pipelines on AWS (S3, Glue, EMR, Redshift), achieving “a 65% reduction in end-to-end processing latency.” I also enforced HIPAA-compliant lake architecture with role-based access controls, full audit logging, and automated data lineage tracking—while migrating from legacy on-prem ETL to cloud ELT with dbt and Apache Airflow.

I lead technical execution and teams: I’ve managed cross-functional delivery of ingestion, transformation, and data quality with engineering standards and code review practices, increasing “delivery velocity by 30%.” I’ve also implemented CI/CD-integrated data quality monitoring with Great Expectations to prevent schema drift and data contract violations from reaching downstream consumers.

Previously, I designed end-to-end real-time fraud detection pipelines using Kafka and Flink, compressing detection from “24 hours to under 5 minutes,” and delivering “$400K+ in annual compute cost savings.” Across roles, I’m most energized by secure, scalable data modernization—turning robust pipelines into business outcomes for analytics, AI, and data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Inovalon logoIN
Current

Data Solution Architect

Jan 2022 - Present (4 years 5 months)

Architected enterprise healthcare data pipelines processing 50B+ clinical records annually on AWS, cutting end-to-end processing latency by 65% and enabling near-real-time analytics for 500+ health plan clients. Migrated legacy ETL to cloud-native ELT with dbt and Airflow, reducing pipeline maintenance by 40% and increasing data model deployment speed by 3x.

Plaid logoPL

Data Engineer

Oct 2015 - Dec 2017 (2 years 2 months)

Built high-throughput ETL pipelines ingesting financial data from 10,000+ banking institutions via REST API and SFTP, enforcing schema validation, idempotency, and SLA compliance. Implemented real-time ingestion on AWS Kinesis processing 2M+ events/day with sub-second latency and automated reconciliation to reduce manual data operations by 60%.

Education

Degrees, certifications, and relevant coursework

Fati hasn't added their education

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