Alexis Abbott
Senior Python Developer @Sumatosoft
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WORK HISTORY
Senior Python Developer @Sumatosoft
Designed and implemented serverless notification platform using AWS API Gateway → Lambda → DynamoDB → SNS/SQS, processing millions of events daily-Built end-to-end data pipelines ingesting raw data into S3 Data Lake and delivering transformed datasets to ServiceNow, Salesforce, and Oracle Cloud-Authored Terraform modules for EC2, ELB, Auto-Scaling Groups, S3, and VPCs; managed infrastructure-as-code for 100+ resources-Automated RabbitMQ cluster deployments and monitoring using Python/Bash and Chef-Developed high-throughput REST APIs with Flask + SQLAlchemy and Django REST Framework-Established Jenkins + Docker + Kubernetes CI/CD pipelines for microservices (build → push → deploy)-Mentored junior developers on TDD, OOP best practices, and Agile delivery
EDUCATION
Penn State University
Bachelor of Science - BS, Computer Science
ABOUT ALEXIS ABBOTT
Senior Python Engineer with 7+ years of experience designing, developing, and deploying high-performance, scalable web applications, RESTful APIs, data pipelines, and machine learning solutions.Expertise spans full-stack Python development (Django, Flask, FastAPI), modern cloud architecture (AWS serverless & containerized), DevOps (Terraform, Ansible, Jenkins, Kubernetes), and big data/ML ecosystems (PySpark, TensorFlow, Keras, Pandas, Scikit-learn).Proven track record delivering complex systems in Agile environments for fintech, healthcare, and SaaS companies, including:Architected serverless notification systems using AWS Lambda, API Gateway, DynamoDB, SNS, Glue, and EventBridgeBuilt and automated enterprise-grade data lakes and ETL pipelines ingesting terabytes into S3 and exporting to ServiceNow, Salesforce, Oracle CloudDesigned and deployed infrastructure-as-code with Terraform and Ansible across EC2, ELB, Auto-Scaling, RDS, and Step FunctionsLed CI/CD transformations using Jenkins, Docker, Kubernetes, and GitOps workflowsDeveloped ML classification models and computer vision pipelines using TensorFlow/Keras and PyTorchCore Technical Proficiencies:• Languages: Python (expert), JavaScript/TypeScript, GoLang, Scala, Bash, SQL• Frameworks: Django, Flask, FastAPI, React, AngularJS, Node.js• Cloud & DevOps: AWS (Lambda, ECS/Fargate, S3, Glue, Athena, Redshift, Step Functions, EventBridge, CloudFormation, CDK), Docker, Kubernetes, Terraform, Ansible, Chef, Jenkins• Databases: PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, DynamoDB, Redis• Data/ML: PySpark, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Airflow, MLflow• Testing & Quality: PyTest, Selenium, TDD, BDDPassionate about clean code, automation, and building systems that scale predictably. Always open to discussing Python architecture, AWS cost optimization, MLOps, or team leadership opportunities in forward-thinking engineering organizations.Let’s connect if you’re working on interesting problems in cloud-native, data, or AI!
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