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# Soumya Doudagiri

**Headline:** Sr\. Python Full Stack Developer \| Python \| Django \| FastAPI \| AWS \| React \| Angular \| GenAI/ML
**Profession:** Sr\. Python Full Stack Developer
**Location:** Tracy, California, United States

## About

Soumya Doudagiri is a Senior Python Full Stack Developer with 9 years of experience building scalable, cloud\-native applications, high\-performance APIs, data pipelines, and responsive web interfaces\. She currently develops healthcare data and AI platform capabilities at Mayo Clinic, owning significant work from design through deployment\. Her core strengths include Python, Django, FastAPI, AWS, Angular, microservices, GenAI/ML, data engineering, and end\-to\-end system design\. Soumya builds REST APIs and microservices with a focus on scalability, observability, fault tolerance, security, and data quality\. At Mayo Clinic, she separated real\-time and batch processing to achieve sub\-second response times at scale, while delivering GenAI chatbots and copilots with LangChain and LlamaIndex and ML/NLP solutions for classification, sentiment analysis, and embeddings\. She also builds AWS ETL and data\-processing workflows using Glue, Lambda, Step Functions, and PySpark on EMR\. Across healthcare, retail, and financial\-services environments, Soumya has delivered full\-stack systems, AWS data lakes, Snowflake migrations, CI/CD automation, and automated testing\. She works effectively in cross\-functional teams of around eight people, drives technical decisions on critical workstreams, and uses data\-driven, incremental problem\-solving to build consensus and measurable outcomes\.

## Services

- Unit Testing
- Mock
- Flask
- AWS Lambda
- Test\-Driven Development
- MySQL
- Bash
- API Gateways
- Amazon EC2
- PostgreSQL
- SQLAlchemy
- Extract, Transform, Load \(ETL\)
- MongoDB
- REST APIs
- Pandas \(Software\)
- pytest
- Snowflake
- Natural Language Processing \(NLP\)
- AWS Glue
- Scikit\-Learn
- NumPy
- Jenkins
- Docker
- Terraform
- LlamaIndex
- Angular
- Kubernetes
- Django / FastAPI
- PySpark / Data Engineering
- Amazon Web Services \(AWS\)

## Highlights

- Has 9 years of experience building scalable, cloud\-native applications and high\-performance APIs\.
- At Mayo Clinic, owns significant parts of a healthcare data and AI platform from design through deployment\.
- Achieved sub\-second response times at scale at Mayo Clinic by separating real\-time and batch processing\.
- Develops scalable Python, Django, and FastAPI microservices and REST APIs at Mayo Clinic\.
- Built GenAI chatbots and copilots using LangChain and LlamaIndex\.
- Developed ML/NLP solutions for classification, sentiment analysis, and embeddings\.
- Built AWS ETL and data pipelines using Glue, Lambda, Step Functions, and PySpark on EMR\.
- Developed responsive Angular 19 and Angular 17 applications using JavaScript and TypeScript\.
- Deployed applications with Docker and Kubernetes/EKS and automated CI/CD with Jenkins and Terraform\.
- Built full\-stack Python/Django and Angular applications at Jefferies Financial Group\.
- Built serverless applications using AWS Lambda and API Gateway at Jefferies Financial Group\.
- Developed financial data\-processing workflows using Python and Pandas\.
- Designed secure REST APIs using Django REST Framework and optimized PostgreSQL and MySQL databases\.
- Implemented test\-driven development with PyTest and Python/Bash automation scripts\.
- Developed high\-performance Django\-based microservices at The Coca\-Cola Company\.
- Designed S3\-based AWS data lakes with Parquet and ORC optimization\.
- Developed PySpark and AWS Glue ETL pipelines and migrated large datasets to Snowflake and SQL Server\.
- Worked with AI/ML, NLP, Pandas, NumPy, SciPy, and Scikit\-learn at The Coca\-Cola Company\.
- Led Jenkins CI/CD implementation and automated testing with PyTest at The Coca\-Cola Company\.
- Developed Python REST APIs, backend services, microservices, and Angular 11 components at Walmart Global Tech\.
- Worked with SQLAlchemy, Psycopg2, PyMongo, AWS EC2, S3, and RDS at Walmart Global Tech\.
- Developed ETL pipelines for analytics teams and worked with Docker and model\-deployment pipelines at Walmart Global Tech\.
- Developed Python/Flask applications and APIs at JNET Technologies Pvt\. Ltd\.
- Built Angular 5 and REST API functionality, Python\-MySQL integration, and Pandas/NumPy data processing at JNET Technologies Pvt\. Ltd\.
- Automated builds and deployments with Jenkins and SVN and developed Unittest\- and Mock\-based unit and integration tests\.
- Applies system design focused on scalability, observability, fault tolerance, security, and data quality\.
- Has led critical workstreams and technical decisions in cross\-functional teams of around eight people\.
- Earned a Bachelor of Technology in Electrical, Electronics and Communications Engineering from JNTUH College of Engineering Hyderabad\.

## Experience

- **Sr\. Python Full Stack Developer at MayoClinic** (2025\-03\-01–present) — Developed scalable Python/Django/FastAPI microservices and REST APIs\. Built GenAI chatbots and copilots using LangChain and LlamaIndex\. Developed ML/NLP solutions for classification, sentiment analysis, and embeddings\. Built AWS ETL/data pipelines using Glue, Lambda, Step Functions, and PySpark/EMR\. Developed responsive applications using Angular 19/17, JavaScript, and TypeScript\. Deployed applications using Docker, Kubernetes/EKS, and automated CI/CD with Jenkins and Terraform\.
- **Python Full Stack Developer at The Coca\-Cola Company** (2022\-12\-01–2025\-02\-01) — Developed high\-performance Django\-based microservices\. Built full\-stack applications using Python/Django and Angular 13/15\. Designed AWS data lakes using S3 with Parquet/ORC optimization\. Developed PySpark and AWS Glue ETL pipelines\. Migrated large datasets to Snowflake and SQL Server\. Worked with AI/ML, NLP, Pandas, NumPy, SciPy, and Scikit\-learn\. Led Jenkins CI/CD implementation and automated testing with PyTest\.
- **Python Full Stack Developer at Walmart Global Tech** (2021\-08\-01–2022\-11\-01) — Developed Python REST APIs, backend services, and microservices\. Built frontend components using Angular 11\. Worked with SQLAlchemy, Psycopg2, PyMongo, and databases\. Deployed applications on AWS EC2, S3, and RDS\. Developed ETL pipelines for analytics teams\. Implemented automated testing and Jenkins CI/CD\. Worked with Docker and model deployment pipelines\.
- **Python Developer at Jefferies Financial Group** (2019\-03\-01–2021\-07\-01) — Developed full\-stack applications using Python/Django and Angular\. Built serverless applications with AWS Lambda and API Gateway\. Developed financial data\-processing workflows using Python and Pandas\. Designed secure REST APIs using Django REST Framework\. Optimized PostgreSQL and MySQL databases\. Implemented TDD with PyTest and Python/Bash automation scripts\.
- **Software Developer at JNET Technologies Pvt\. Ltd\.** (2017\-08\-01–2018\-12\-01) — Developed applications and APIs using Python/Flask\. Processed data using Pandas and NumPy\. Built frontend functionality using Angular 5 and REST APIs\. Worked with Python\-MySQL database integration\. Automated builds and deployments using Jenkins and SVN\. Developed automated unit and integration tests using Unittest and Mock

## Education

- Bachelor of Technology, Electrical, Electronics and Communications Engineering — JNTUH College of Engineering Hyderabad

## FAQ

### What does Soumya do?

Soumya is a Senior Python Full Stack Developer who builds cloud\-native applications, Python backends, REST APIs, microservices, data pipelines, AI\-enabled products, and Angular\-based user interfaces\. She is open to Senior Python Full Stack, Python Backend, and Cloud/AI Engineering opportunities\.

### What are Soumya's core technical strengths?

Soumya has 9 years of experience\. Her strongest areas include Python, Django, FastAPI, AWS, Angular, microservices, GenAI/ML, NLP, PySpark, data engineering, REST APIs, Docker, Kubernetes, and CI/CD\.

### What does Soumya do at Mayo Clinic?

At Mayo Clinic, Soumya develops scalable Python, Django, and FastAPI microservices and REST APIs\. She has owned significant parts of a healthcare data and AI platform from design through deployment, with emphasis on scalable, observable, fault\-tolerant, secure systems and high data quality\.

### What GenAI and machine\-learning work has Soumya delivered?

Soumya built GenAI chatbots and copilots using LangChain and LlamaIndex\. She also developed ML and NLP solutions for classification, sentiment analysis, and embeddings\.

### What data\-engineering experience does Soumya have?

Soumya built AWS ETL and data pipelines using AWS Glue, Lambda, Step Functions, and PySpark on EMR\. Her data\-engineering experience includes pipeline development, data transformation, quality checks, and schema validation\.

### How has Soumya approached performance and system design?

Soumya improved performance at Mayo Clinic by separating real\-time and batch processing, achieving sub\-second response times at scale\. She applies system\-design practices centered on scalability, observability, fault tolerance, security, and measurable outcomes\.

### What frontend technologies does Soumya use?

Soumya developed responsive applications using Angular 19 and Angular 17, JavaScript, and TypeScript at Mayo Clinic\. Her frontend experience also includes Angular 15, 13, 11, and 5, along with HTML5, CSS, Bootstrap, UI, and web development\.

### What cloud and DevOps technologies does Soumya use?

Soumya deploys applications with Docker and Kubernetes/EKS and automates CI/CD using Jenkins and Terraform\. She has also worked with AWS EC2, S3, RDS, Lambda, API Gateway, Glue, Step Functions, DynamoDB, and EMR\.

### What did Soumya accomplish at Jefferies Financial Group?

At Jefferies Financial Group, Soumya developed full\-stack applications using Python, Django, and Angular\. She built serverless applications with AWS Lambda and API Gateway, created financial data\-processing workflows with Python and Pandas, designed secure REST APIs with Django REST Framework, optimized PostgreSQL and MySQL databases, and implemented TDD with PyTest and Python/Bash automation scripts\.

### What did Soumya accomplish at The Coca\-Cola Company?

At The Coca\-Cola Company, Soumya developed high\-performance Django microservices and full\-stack applications with Python, Django, Angular 13, and Angular 15\. She designed S3\-based AWS data lakes with Parquet and ORC optimization, developed PySpark and AWS Glue ETL pipelines, migrated large datasets to Snowflake and SQL Server, worked with AI/ML and NLP libraries, and led Jenkins CI/CD implementation and PyTest\-based automated testing\.

### What did Soumya accomplish at Walmart Global Tech?

At Walmart Global Tech, Soumya developed Python REST APIs, backend services, and microservices, along with Angular 11 frontend components\. She worked with SQLAlchemy, Psycopg2, PyMongo, and databases deployed on AWS EC2, S3, and RDS built ETL pipelines for analytics teams implemented automated testing and Jenkins CI/CD and worked with Docker and model\-deployment pipelines\.

### What did Soumya accomplish at JNET Technologies Pvt\. Ltd\.?

At JNET Technologies Pvt\. Ltd\., Soumya developed Python and Flask applications and APIs, processed data with Pandas and NumPy, built Angular 5 and REST API frontend functionality, integrated Python with MySQL, automated builds and deployments with Jenkins and SVN, and developed unit and integration tests with Unittest and Mock\.

### What databases and data platforms has Soumya worked with?

Soumya has worked with PostgreSQL, MySQL, MongoDB, SQLAlchemy, Psycopg2, PyMongo, Snowflake, SQL Server, and DynamoDB\. Her database work includes optimization, data integration, migrations, and data\-lake and ETL workflows\.

### What is Soumya's testing and delivery approach?

Soumya uses automated testing and test\-driven development practices, including PyTest, Unittest, Mock, unit testing, integration testing, and Python/Bash automation\. She has implemented testing and Jenkins CI/CD across multiple roles\.

### How does Soumya collaborate and lead?

Soumya is comfortable working in mid\-sized, cross\-functional teams of around eight people across disciplines\. She has owned critical workstreams, driven technical decisions, collaborated closely with data and ML teams, and used data\-driven approaches, listening, and incremental delivery to build stakeholder consensus\.

### What is Soumya's education?

Soumya earned a Bachelor of Technology in Electrical, Electronics and Communications Engineering from JNTUH College of Engineering Hyderabad\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/soumya\-doudagiri\-64b8991b6

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