Python Developer Data Engineer

Full Stack Python Developer

Name: Sri krishna Kireet G

Contact: 650-***-**** Email: ****************@*****.*** LinkedIn URL:linkedin

Professional Summary:

Full Stack Python Developer with 4+ years of experience delivering AI-integrated solutions for F500 companies like SoFi and Clover Health. Spearheaded Spark-based ETL development on AWS, improving data processing efficiency and reducing infrastructure costs by 15%. Earned three certifications, including AWS Certified Solutions Architect, AWS Certified Data Engineer, and Certified Kubernetes Application Developer (CKAD). PROFESSIONAL EXPERIENCE

Full Stack Python Developer

Sofi San Francisco, California January 2025 – Current

Unified authentication across three ReactJS front ends using backend APIs, enhancing consistency and reducing support tickets by 20%.

Engineered scalable REST APIs using Django and DRF, improving throughput by 40% and decreasing latency under peak loads.

Implemented behavioral scoring models with sklearn and Pandas, reducing manual review time by 30% and enhancing fraud detection accuracy by 15%.

Constructed real-time data pipelines with Kafka and Spark Streaming to ensure 99.99% transaction system uptime.

Automated AWS infrastructure monitoring via Python scripts, cutting downtime exposure by 35%.

Deployed secure, compliant cloud services (EC2, RDS, Lambda) using Terraform, ensuring availability and audit readiness.

Reduced incident response time by 60% by implementing a robust Splunk-based alerting system.

Environment: Python, Django, DRF, Pandas, Scikit-learn, Kafka, Spark, AWS, Terraform, Jenkins, PostgreSQL, ReactJS, Splunk

Full Stack Python Developer

Clover Health Remote August 2024 - December 2024

Pioneered a novel, HIPAA-compliant doctor-patient analytics portal with role-based access control, enabling the practice to handle 1,000+ patients per month without additional headcount.

Constructed ML pipelines to predict read missions, reducing hospital penalties by

$200K/year.

Forged Django APIs incorporating RBAC and token-based authentication, enhancing data access speeds by 30% and becoming the team's go-to subject matter expert on security protocols.

Created clinician dashboards using ReactJS, improving patient case review times by 40%.

Established hybrid data lake architecture (MongoDB + PostgreSQL), improving analytical performance by 70%.

Led ETL workflows using Apache Spark on AWS, enhancing and lowering infrastructure costs.

Environment: Python, Django, Spark, PostgreSQL, MongoDB, Jenkins, ReactJS, AWS, SonarQube

Python Developer (Backend Systems and Automation)

Value Labs India October 2020 –

Streamlined legacy workflows through automation, saving 40% manual effort across 5K+ users.

Crafted Flask REST APIs for internal tools, enabling 10K+ users daily with faster data access.

Migrated data from MongoDB to Elasticsearch, slashing average query time by 60%.

Engineered event-driven architecture with Kafka to boost system resilience and reduce message latency by 150ms.

Delivered real-time KPI dashboards using Pandas and Matplotlib, accelerating leadership decision-making by 25%.

Environment: Python, Flask, Elasticsearch, Kafka, Pandas, Matplotlib, AWS Lambda, MongoDB, Git

Key Projects

AI-Powered Supply Chain Optimization

Architected a logistics optimization platform using ML-based demand forecasting and route planning, increasing delivery efficiency by 18%.

Conceptualized Kafka-backed Spring Boot microservices for seamless data ingestion and zero downtime.

Integrated Redis caching for real-time model inference, reducing prediction latency. Predictive Smart City Infrastructure

Created an AI-based system using sensor data to predict incidents (traffic, pipeline failures), improving emergency response times by 30%.

Automated event handling with AWS Lambda for rapid alerting and resolution. Personalized Health Insights Engine

Launched a HIPAA-compliant health analytics platform with 95% chronic disease prediction accuracy.

Hardened cloud infrastructure security by establishing S3 RBAC policies, preventing all unauthorized access attempts and earning recognition as team's security SME. Technical Skills:

Languages: Python (2.7/3.x), JavaScript (ES6+), Java, Bash. Web & Frameworks: Django, Flask, Fast API, ReactJS, AngularJS, HTML5, CSS3. AI/ML Libraries: Scikit-learn, TensorFlow, Pandas, NumPy, OpenCV, Matplotlib, NLTK,Keras. Data Platforms: PostgreSQL, MongoDB, MySQL, Oracle, Cassandra, Elasticsearch. Streaming & Messaging: Apache Kafka, Spark, RabbitMQ. Cloud & Infra: AWS (EC2, S3, RDS, Lambda, VPC), Terraform, Ansible. DevOps & CI/CD: Jenkins, Docker, Kubernetes, Git, Maven, Gradle. Testing & Monitoring: PyTest, JUnit, Selenium, Splunk. OS: Linux (Ubuntu, RHEL), UNIX, Windows.

Certifications:

AWS Certified Solutions Architect – Associate

AWS Certified Data Engineer – Associate

Certified Kubernetes Application Developer (CKAD)

Professional Scrum Master™ (PSM-1)

Machine Learning with Python

Google Digital Marketing Certification

Empowering Business with Effective Insights

Snowflake Data Engineer – Foundational (Badge only)

Microsoft Azure Fundamentals (Badge only)

EDUCATION:

Masters: University of the Pacific, San Francisco, CA Bachelors: Jawaharlal Nehru Technological University, India

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