Open to opportunities

Enam Hussain

@enamhussain

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Senior Python Full Stack Engineer specializing in cloud-native, secure, scalable ML-driven systems.

United States

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What I'm looking for

I seek senior engineering roles focused on cloud-native architecture, secure compliance-driven systems, ML integration, and leadership opportunities to modernize large-scale platforms.

I am a Senior Python Full Stack Engineer with 12 years of experience building large-scale, cloud-native applications across healthcare, finance, and consumer platforms. I design and deploy secure, multi-cloud architectures and event-driven microservices using Python (Django, Flask, FastAPI), containerization, and orchestration tools.

I lead cross-functional teams to modernize legacy systems, integrate ML models (PyTorch, scikit-learn) for NLP and computer vision use cases, and implement compliance frameworks (HIPAA, SOC2, PCI-DSS) that reduce manual audits and operational risk. I have delivered high-availability solutions that process millions of transactions with strong observability and automated remediation.

My strengths include API and backend development, data pipeline engineering with Kafka/Airflow/Spark, and optimizing infrastructure on AWS, Azure, and GCP with Terraform, Docker, and Kubernetes to achieve measurable performance and reliability gains.

Experience

Work history, roles, and key accomplishments

Current

Lead Python Full Stack Developer

Current

CVS Health

Apr 2023 - Present (2 years 6 months)

Designed and deployed a cloud-agnostic corrective control framework across AWS, Azure, and GCP using serverless functions to detect and remediate compliance/security violations in real time, reducing manual audits by 40% and supporting 20 product teams.

Python Django Flask fastAPI AWS GCP)Azure Serverless IAM Elasticsearch GCP

Senior Python Full Stack Engineer

Morgan Stanley

Aug 2020 - Mar 2023 (2 years 7 months)

Led backend/API development for the Shareworks equity compensation platform and architected Kubernetes-deployed microservices and Kafka pipelines processing millions of equity transactions daily with 99.9% uptime, reducing onboarding time by 25%.

Python Flask fastAPI Kubernetes Docker Kafka PostgreSQL GraphQL React TypeScript

Senior Python Developer

Principal Financial Group

May 2018 - Jun 2020 (2 years 1 month)

Developed PyTorch ML models that reduced fraud false positives by 15% and modernized legacy retirement/insurance systems to Python microservices, cutting data latency by 40% via event-driven Kafka/Spark/Airflow pipelines.

Python PyTorch Kafka Spark Airflow Django Flask AWS ETL

Python Developer

Amazon

Sep 2015 - Mar 2018 (2 years 6 months)

Built Python/Django microservices and AWS Lambda event-driven functions for retail systems serving millions of requests daily, automated infrastructure with Terraform/CloudFormation, and improved monitoring to reduce incident detection time by 40%.

Python Django AWS Lambda Terraform CloudFormation ECS DynamoDB Pytest CI CD Cloudwatch

Python Full Stack Developer

Humana

Feb 2013 - Aug 2015 (2 years 6 months)

Developed Python/Django/Flask services and AngularJS frontends for healthcare eligibility and claims workflows, created Kafka/Spark ETL pipelines to reduce batch job times by 50%, and integrated predictive analytics for patient risk scoring.