Full-Stack Python Developer with Cloud Expertise

Pramod G

Austin TX, ***** +1-940-***-**** *************.**@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Full Stack Python Developer with 4+ years of hands-on experience designing agile, cloud-based solutions and secure APIs. Expert in Python with practical knowledge of AWS services, SDLC, and database integration. Demonstrated ability to build scalable microservices and automate deployment processes using containerization and CI/CD pipelines. Highly motivated to support and contribute to innovative, production-ready systems in a collaborative environment. TECHNICAL SKILLS

• Languages: Python, SQL, JavaScript, Scala, HTML, CSS

• Web & Backend Frameworks: Django, Flask, Tornado, Hug, WebApp2

• Frontend Technologies: ReactJS, AngularJS, HTML5, CSS3, Bootstrap, Redux

• Databases: PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, SQL Server

• CloudPlatforms:AWS: EC2, S3, Lambda, RDS, Redshift, IAM, Route53, CloudWatch,Glue, Azure: Data Factory, Data bricks, Data Lake, SQL DB, Blob Storage

• Big Data & Data Engineering: PySpark, Hive, Hadoop, Kafka, Spark Data bricks

• AI/ML & Libraries: Tensor Flow, PyTorch, Scikit-learn, Pandas, NumPy, SciPy, Matplotlib, OpenCV

• DevOps & Automation: Docker, Kubernetes, Jenkins, Git, Terraform, Ansible

• ETL & Reporting Tools: Power BI, Tableau, Informatics, Talend

• Tools & Utilities: Boto3, JIRA, REST APIs, JSON, SOAP, Bash, Linux PROFESSIONAL EXPERIENCE

Equifax May 2024 - Present

Full Stack Python Developer GA

• Architected and implemented a microservices-based web application using Django REST Framework, significantly enhancing mod- ularity, maintainability, and reducing API latency by 40% under high-load conditions.

• Developed and deployed real-time streaming pipelines by integrating Apache Kafka with Spark Streaming and ReactJS-based frontends, enabling instant analytics and improved user interaction.

• Engineered and deployed AI/ML models for document classification, fraud detection, and ticket triage using Tensor Flow and Scikit-learn, which resulted in a 30% reduction in manual intervention and enhanced SLA compliance.

• Automated infrastructure provisioning and deployment with Terraform and Ansible to create consistent cloud environments across development, staging, and production on AWS (EC2, Lambda, S3, RDS), demonstrating strong cloud computing proficiency.

• Revamped the frontend using ReactJS with Redux for improved responsiveness and accessibility through seamless third-party API integrations.

Fannie Mae Jul 2023 - Apr 2024

Full Stack Python Developer / ML Engineer

• Designed and developed RESTful APIs using Flask and Hug to expose real-time financial risk insights while enforcing OAuth2.0 security and HTTPS encryption for data protection.

• Built end-to-end data ingestion pipelines in Azure Data Factory to consolidate data from on-premise SQL Server and Blob Storage into Azure Data Lake, reducing integration time by 35% and enhancing data quality.

• Orchestrated machine learning pipelines using Scikit-learn and PyTorch for credit scoring and anomaly detection, which improved decision-making accuracy and accelerated risk assessment processes.

• Automated deployment of containerized services using Docker and Terraform, integrating CI/CD processes with Jenkins to support rapid feature rollouts and scalable infrastructure.

• Developed custom data analytics APIs and visualization endpoints through Django and Power BI, enabling self-service reporting for business analysts and external vendors.

Capgemini Jul 2021 - Apr 2022

Python Developer India

• Designed modular Python micro services integrated with ReactJS frontends, enabling cross-region failover support and seamless content delivery in production environments.

• Wrote custom automation scripts using Boto3 and Terraform to manageAWSIAMroles,EC2 provisioning, and Lambda event triggers, improving deployment speed and reducing configuration drift.

• Developed an internal customer support portal using Bootstrap and JavaScript for real-time ticket status updates, resulting in a 20% improvement in customer feedback scores.

• Applied CI/CD pipelines with Jenkins for Python-based analytics tools, reducing software delivery cycles and improving code deployment reliability across teams.

• Integrated AWS service orchestration with unit-tested Python interfaces, reducing downtime and improving recovery times during cloud incidents.

Tele performance Oct 2020 - Jun 2021

Python Developer / Data Engineer India

• Developed and deployed RESTful FlaskAPIsbackedbySQLServerandconsumedbyAngularJSinterfacesforreal-time asset tracking and operational reporting.

• Refactored legacy Hive queries into PySpark transformations running on distributed clusters, boosting ETL performance by 45% and reducing job runtime.

• Created and managed multi-node MongoDB clusters on AWS EC2 instances, with automated backup routines and failover strategies to ensure 99.9% data availability.

• Executed SQL Server stored procedures and Python scripts to synchronize high-volume transaction data between core systems and Bl tools.

• Developed SOAP-compliant XML handlers and analytics APIs to fulfill regulatory reporting requirements and third-party audit integrations.

EDUCATION

University Of North Texas

Master's, Data Science

Sri Indu College of Engineering & Technology

Bachelor's, Electronics & Communication Engineering

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