Python Developer React Js

Python Developer

Nanditha

Hartford, CT, *****

Email:*******************@*****.*** Phone: 203-***-**** URL : www.linkedin.com/in/nanditha-addagatla-0657b92b8

Professional Summary

●Accomplished Python Developer with overall 5 years of experience in designing, developing, and implementing scalable software solutions for enterprise and cloud-based environments.

●Extensive expertise in Python frameworks (Django, Flask), AWS services (EC2, Lambda, S3, Glue, DynamoDB), and database systems (PostgreSQL, MongoDB, MySQL, Snowflake).

●Skilled in building efficient CI/CD pipelines, creating RESTful APIs, and automating workflows with DevOps tools like Docker, Kubernetes, Jenkins, and Ansible.

●Experience with front-end technologies (React.js, AngularJS, Bootstrap), big data frameworks (PySpark, Hadoop), and data visualization tools (MATLAB, Tableau).

●Proven ability to streamline data pipelines, enhance computational efficiency, and manage cloud-based infrastructures in AWS and Azure ecosystems.

Technical Skills

Programming Languages: Python, C++, JavaScript, SQL, Java, Golang

Web Technologies: HTML5, CSS3, JSON, RESTful APIs, Bootstrap, React.js, AngularJS

Cloud Platforms: AWS (EC2, Lambda, Glue, RDS, S3, Redshift), Azure (Active Directory, Service Bus, CLI)

Database Systems: PostgreSQL, MongoDB, MySQL, Oracle, Snowflake

Big Data & Frameworks: PySpark, Hadoop, MATLAB, FastAPI, Flask, Django

DevOps Tools: Docker, Kubernetes, Jenkins, Ansible, Git, GitHub, GitLab

Visualization Tools: Tableau, Matplotlib, Power BI, NumPy, Pandas

Version Control: Git, GitHub, Bitbucket

Professional Experience :

Full Stack Python Developer

Member 1st (Remote) Jan 2024 – Present

●Designed and implemented responsive, interactive user interfaces using React.js and the MEAN stack, enhancing user experience and system efficiency.

●Developed the DCAE internal platform using Python and Django, ensuring seamless data management and system functionality through comprehensive testing and optimization.

●Deployed containerized microservices in AWS ECS with Python/Flask, SQL Alchemy, and Docker, leveraging S3 for secure file storage.

●Utilized PySpark to design and execute data pipelines for processing and analysing large datasets, improving data processing efficiency.

●Built custom APIs and integrated MATLAB-Python workflows to streamline complex calculations and workflows for data processing.

●Automated deployment processes across multiple Kubernetes clusters using Ansible, improving scalability and reducing manual intervention.

●Designed ETL pipelines for MySQL databases to efficiently extract, transform, and load data while maintaining data accuracy.

●Developed serverless applications with AWS Lambda and integrated services like DynamoDB and API Gateway for seamless functionality.

Environment: Python, Django, Flask, React.js, Tailwind CSS, MongoDB, Kubernetes, AWS ECS, PySpark, MATLAB, SQLAlchemy, Ansible, MySQL, AWS Lambda, S3, DynamoDB, API Gateway, Docker, HTML5, CSS3, Jenkins

Full Stack Python Developer

Odyssey group, Stamford, CT Dec 2022 – Dec 2023

●Designed and developed high-performance RESTful APIs and microservices using Python frameworks such as FastAPI and aiohttp to handle large-scale data processing.

●Migrated legacy data warehouse solutions to Snowflake, building optimized data pipelines with AWS Glue for seamless ETL workflows.

●Implemented a serverless architecture using AWS Lambda, API Gateway, and DynamoDB to support scalable and cost-efficient backend solutions.

●Developed interactive data visualizations using MATLAB and Python libraries like Matplotlib to analyze signal processing workflows and enhance system outputs.

●Created and deployed CI/CD pipelines in Jenkins for containerized applications, leveraging Docker and Kubernetes for scalable production deployments.

●Utilized PySpark to build distributed data processing pipelines for large datasets, achieving low latency and high scalability.

●Integrated React.js components with Python-based backends to create dynamic and user-friendly web applications for internal analytics tools.

●Built monitoring tools and implemented error-handling mechanisms for production environments, ensuring smooth operation and minimal downtime of services.

Environment: Python, FastAPI, Snowflake, AWS Glue, MATLAB, Jenkins, PySpark, Docker, Kubernetes, DynamoDB, React.js, Tableau, RESTful APIs, CI/CD, SQL, Pandas, NumPy, Flask

Python Developer

Bayer, India June 2021- Aug 2022

●Developed scalable backend solutions using Flask and SQLAlchemy, enhancing system performance and reliability.

●Designed and implemented VM management tools to execute commands across AWS, Azure, GCP, and vSphere environments.

●Automated CI/CD pipelines in Azure DevOps, ensuring efficient deployment of applications with minimal downtime.

●Created Azure App Insights for monitoring application performance and troubleshooting issues proactively.

●Collaborated with cross-functional teams to implement robust data governance frameworks, ensuring compliance with industry standards.

●Built dynamic dashboards in Tableau to visualize key performance metrics and improve decision-making processes.

●Optimized SQL queries and database schemas to handle high-volume transactions and reduce latency.

●Automated manual tasks using Python scripts, improving efficiency and reducing processing time by 30%.

Environment: Python, Flask, SQLAlchemy, Azure DevOps, Azure App Insights, Pandas, Tableau, Power BI, SQL Server, Azure Service Bus, App Monitoring Tools, Data Governance Frameworks, HTML5, CSS3

Python Developer

Smartron, India Feb 2020 – May 2021

●Automated data pipelines and processes using Python scripting and ETL frameworks, ensuring smooth data transformation workflows.

●Built interactive charts and visualizations using Matplotlib and Pandas for actionable insights and decision-making.

●Designed and deployed containerized applications using Docker and orchestrated workloads using Kubernetes.

●Developed secure encryption and decryption mechanisms using ISO standards and implemented them in Python applications.

●Created and managed APIs using Flask to enable seamless integration between systems and applications.

●Implemented robust logging mechanisms to enhance debugging and monitoring in production environments.

●Built data models and schemas to support data-intensive operations and improve application performance.

●Designed reusable components for web applications using HTML5, JavaScript, and Bootstrap.

Environment: Python, Flask, Docker, Kubernetes, Matplotlib, Pandas, ETL Frameworks, SQL, JavaScript, Bootstrap, MySQL, Logging Tools, Data Modeling Tools, Encryption Standards

Education :

Master’s : University: Sacred Heart university, Connecticut - 2022

Bachelors: University: Ethames Degree college (Osmania university) - 2021

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