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@kevinlively
Senior Python Developer with over 12 years of experience.
I am a seasoned Senior Python Developer with over 12 years of experience in designing, developing, and deploying scalable, secure, and high-performance backend systems across diverse industries including finance, AI, and enterprise SaaS. My expertise lies in cloud-native development, with a deep understanding of Python, API design, and infrastructure automation. I have a proven track record of building microservices and event-driven architectures using Docker, Kubernetes, Kafka, and Terraform, while deploying resilient, fault-tolerant applications across AWS, GCP, and Azure environments.
Throughout my career, I have been recognized for my ability to integrate machine learning workflows into production using tools like FastAPI, Airflow, MLflow, and TensorFlow, supporting real-time analytics and intelligent applications. I am passionate about mentoring engineers, leading cross-functional teams, and aligning technology with business goals. I advocate for developer experience, clean code, and open-source tooling, and I am committed to delivering future-ready systems through collaborative leadership and continuous improvement across the software development lifecycle.
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Work history, roles, and key accomplishments
Fiserv
Apr 2021 - Present (4 years 7 months)
Designed and implemented a global-scale, cloud-native analytics engine capable of processing over 20 billion events per day using Python, Kafka, AWS Lambda, and S3. Engineered a robust ML pipeline integrating FastAPI with Apache Airflow for model deployment and performance monitoring. Guided a distributed team through architecture decisions and established a security-first workflow ensuring compli
DXC Technology
Feb 2017 - Feb 2021 (4 years)
Architected and developed a real-time trading backend in Python and Redis, achieving ultra-low-latency performance. Delivered mission-critical APIs and data ingestion services for financial analytics platforms. Implemented Kubernetes and GitOps strategies for scalable deployment and automated infrastructure management with Terraform.
Td Synnex
Jan 2013 - Jan 2017 (4 years)
Overhauled the company's data platform by migrating from monolithic ETL to scalable data pipelines using Spark, Airflow, and Parquet. Led the architectural transition to microservices and delivered APIs for analytical dashboards and ML models. Spearheaded observability efforts, reducing production incidents significantly.
Degrees, certifications, and relevant coursework
Bachelor of Science, Computer Science
2008 - 2012
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