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I am a Software Developer with over 3 years of experience building cloud-based applications across healthcare, marketing, and financial services domains. I am proficient in Python, Flask, FastAPI, Django, RESTful APIs, SQL, AWS, and Azure for backend development, API integration, and cloud deployment. I also have hands-on experience with Docker, Kubernetes, CI/CD, ETL, and API security to deliver scalable and secure software solutions. I enjoy collaborating with cross-functional teams to translate complex problems into robust technical solutions, optimize performance, and ensure reliable and secure operations at scale.…I am a Software Developer with over 3 years of experience building cloud-based applications across healthcare, marketing, and financial services domains. I am proficient in Python, Flask, FastAPI, Django, RESTful APIs, SQL, AWS, and Azure for backend development, API integration, and cloud deployment. I also have hands-on experience with Docker, Kubernetes, CI/CD, ETL, and API security to deliver scalable and secure software solutions. I enjoy collaborating with cross-functional teams to translate complex problems into robust technical solutions, optimize performance, and ensure reliable and secure operations at scale.

Karthik Ravula

Full Stack Developer, Back-End Developer, Web Developer, +2

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I am a Software Developer with over 3 years of experience building cloud-based applications across healthcare, marketing, and financial services domains. I am proficient in Python, Flask, FastAPI, Django, RESTful APIs, SQL, AWS, and Azure for backend development, API integration, and cloud deployment. I also have hands-on experience with Docker, Kubernetes, CI/CD, ETL, and API security to deliver scalable and secure software solutions. I enjoy collaborating with cross-functional teams to translate complex problems into robust technical solutions, optimize performance, and ensure reliable and secure operations at scale.…I am a Software Developer with over 3 years of experience building cloud-based applications across healthcare, marketing, and financial services domains. I am proficient in Python, Flask, FastAPI, Django, RESTful APIs, SQL, AWS, and Azure for backend development, API integration, and cloud deployment. I also have hands-on experience with Docker, Kubernetes, CI/CD, ETL, and API security to deliver scalable and secure software solutions. I enjoy collaborating with cross-functional teams to translate complex problems into robust technical solutions, optimize performance, and ensure reliable and secure operations at scale.

Available to hire

I am a Software Developer with over 3 years of experience building cloud-based applications across healthcare, marketing, and financial services domains. I am proficient in Python, Flask, FastAPI, Django, RESTful APIs, SQL, AWS, and Azure for backend development, API integration, and cloud deployment. I also have hands-on experience with Docker, Kubernetes, CI/CD, ETL, and API security to deliver scalable and secure software solutions.

I enjoy collaborating with cross-functional teams to translate complex problems into robust technical solutions, optimize performance, and ensure reliable and secure operations at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Software Developer at Uber

July 1, 2025 - Present

Engineered FastAPI, Python, PostgreSQL, and Redis microservices for rider and driver applications within a distributed services architecture, processing 580K+ trip records monthly and reducing API response times by 2 seconds. Implemented Next.js, JavaScript, REST APIs, and AWS Lambda integrations for customer-facing mobility features, supporting 500K+ daily requests and reducing page load times by 1.3 seconds through frontend and API performance improvements. Integrated Kafka, Python, and Amazon S3 data pipelines into customer support platforms, automating event-driven request routing across 100K+ monthly support requests and reducing manual processing effort. Orchestrated containerized microservices using Docker, Kubernetes (EKS), GitHub Actions, and AWS CloudWatch, contributing to deployment planning, production monitoring, and reliable scaling for workloads supporting 10K+ concurrent users.

Python Developer at Epsilon

November 1, 2024 - June 1, 2025

Built distributed FastAPI microservices connected to PostgreSQL databases alongside analytics teams to route 2,000,000 daily API requests across 3 external marketing platforms without message loss. Overhauled high-throughput data ingestion pipelines using Python, Pandas, and SQL queries to isolate validation bugs, scrubbing 12,000,000 weekly records to eliminate downstream audience segmentation errors. Scripted automated Python data extraction and aggregation workflows to eliminate manual spreadsheet manipulation bottlenecks, saving internal marketing analysts 30 hours every month before scheduled executive reviews. Coded secure GraphQL APIs implementing JWT authentication protocols alongside data compliance officers, protecting 500,000 customer profiles from unauthorized access to satisfy strict HIPAA and GDPR privacy audits. Coordinated backend infrastructure migration to serverless AWS Lambda functions, Docker containers, and Kubernetes EKS clusters, directing DevOps teams to absorb

Software Engineer at Dell Technologies

July 1, 2020 - June 1, 2021

Developed backend features using Python, Django, PostgreSQL, and REST APIs for enterprise applications, resolving production issues and supporting data-intensive workflows handling 100K+ daily transactions and records across multiple business systems. Automated data validation, transformation, and integration processes using Python, SQL, JSON, and Azure Functions, reducing manual reporting effort by 40+ hours monthly while improving data consistency and delivery timelines for downstream teams. Integrated Azure Blob Storage with backend services to manage 200GB+ structured and unstructured data, implementing secure file-handling workflows and streamlining data retrieval processes used by internal applications and support teams. Optimized application performance through MongoDB query tuning, indexing strategies, and database troubleshooting, reducing average response times from 4 seconds to under 1 second and improving the reliability of customer-facing transactions. Executed automated t