Full stack developer

At CME Group, I worked as a Full Stack Python Developer where I designed and optimized cloud-native microservices using Python, Django, Flask, and REST APIs to support trading and financial applications. I built and maintained ETL pipelines with Apache Airflow and Spark, enabling faster and more reliable data processing for large-scale financial datasets. My role involved integrating predictive analytics and AI models into production systems, automating CI/CD pipelines with Jenkins, GitHub Actions, and AWS CloudWatch, and deploying scalable solutions on AWS using EC2, S3, RDS, Lambda, and EKS. I also collaborated with finance and product teams to deliver custom financial reports and settlement summaries while ensuring secure, high-performance data management across PostgreSQL, SQL Server, MongoDB, Snowflake, and Databricks. Additionally, I implemented asynchronous processing systems with Celery, RabbitMQ, and Redis to improve transaction throughput and system reliability.

PYTHON DEVELOPER

At Providence Health, I worked as a Python Developer in an Agile environment, contributing to the full SDLC from design to deployment. I developed scalable RESTful APIs and microservices using FastAPI and Flask, built ETL pipelines with PySpark, Airflow, and SQL, and deployed serverless applications with AWS Lambda and Step Functions. I integrated healthcare data systems using HL7/FHIR, enforced HIPAA-compliant governance policies, and optimized interoperability across EHR platforms. My work included deploying containerized microservices on AWS and Azure with Docker and Kubernetes, implementing Redis caching to improve API performance, and managing databases such as PostgreSQL, MySQL, and Cassandra. I also collaborated with Data Scientists to deploy ML models using TensorFlow, MLflow, and Flask/FastAPI, while leading a team of 5 developers and ensuring best practices in code quality, CI/CD, and cloud deployments.