Hi, I’m Rama Gowtham Reddy Padala. I’m a detail-oriented and results-driven Python Developer with over four years of experience designing and implementing scalable APIs, microservices, ETL pipelines, and cloud-native applications. I enjoy building high-performance backends, real-time streaming pipelines, and BI solutions for finance and enterprise domains. In my roles, I’ve delivered measurable outcomes such as 50%+ process efficiency improvements, 35%+ faster ETL pipelines, and 40% faster deployments. I’m proficient with Flask, Django, FastAPI, PySpark, and Kafka, and I’ve worked with Snowflake, Airflow, Docker, Kubernetes, Terraform, and multiple cloud platforms (AWS, GCP, Azure). I thrive in Agile environments, apply DevSecOps practices, automate CI/CD, focus on API security, caching strategies, and monitoring with ELK or Dynatrace. I’ve earned a reputation for optimizing mission-critical systems, collaborating across teams, and ensuring compliance with security frameworks like NIST/FedRAMP.

Rama Gowtham Reddy Padala

Hi, I’m Rama Gowtham Reddy Padala. I’m a detail-oriented and results-driven Python Developer with over four years of experience designing and implementing scalable APIs, microservices, ETL pipelines, and cloud-native applications. I enjoy building high-performance backends, real-time streaming pipelines, and BI solutions for finance and enterprise domains. In my roles, I’ve delivered measurable outcomes such as 50%+ process efficiency improvements, 35%+ faster ETL pipelines, and 40% faster deployments. I’m proficient with Flask, Django, FastAPI, PySpark, and Kafka, and I’ve worked with Snowflake, Airflow, Docker, Kubernetes, Terraform, and multiple cloud platforms (AWS, GCP, Azure). I thrive in Agile environments, apply DevSecOps practices, automate CI/CD, focus on API security, caching strategies, and monitoring with ELK or Dynatrace. I’ve earned a reputation for optimizing mission-critical systems, collaborating across teams, and ensuring compliance with security frameworks like NIST/FedRAMP.

Available to hire

Hi, I’m Rama Gowtham Reddy Padala. I’m a detail-oriented and results-driven Python Developer with over four years of experience designing and implementing scalable APIs, microservices, ETL pipelines, and cloud-native applications. I enjoy building high-performance backends, real-time streaming pipelines, and BI solutions for finance and enterprise domains.

In my roles, I’ve delivered measurable outcomes such as 50%+ process efficiency improvements, 35%+ faster ETL pipelines, and 40% faster deployments. I’m proficient with Flask, Django, FastAPI, PySpark, and Kafka, and I’ve worked with Snowflake, Airflow, Docker, Kubernetes, Terraform, and multiple cloud platforms (AWS, GCP, Azure). I thrive in Agile environments, apply DevSecOps practices, automate CI/CD, focus on API security, caching strategies, and monitoring with ELK or Dynatrace. I’ve earned a reputation for optimizing mission-critical systems, collaborating across teams, and ensuring compliance with security frameworks like NIST/FedRAMP.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent

Work Experience

Python Developer at Marsh McLennan
March 1, 2024 - Present
Designed and developed a claims automation platform using Flask/Django, automating 75% of manual workflows and reducing turnaround time by 50%. Architected microservices-based APIs with FastAPI ensuring scalability, modular deployments, and 99.9% uptime. Built secure RESTful APIs with OAuth2/JWT authentication, enabling seamless integrations with PostgreSQL and third-party vendor systems. Integrated PySpark for parallelized ETL pipelines, reducing batch processing time by 35% across large-scale claims datasets. Engineered Kafka streaming pipelines handling 100k+ daily events for near real-time synchronization between backend and frontend systems. Optimized backend workflows using Celery + Redis for asynchronous task execution, enabling the system to handle 10k+ claims/day with zero downtime. Implemented caching layers (Redis, Memcached) to reduce API response times by 40% and improve user experience. Containerized services with Docker, deployed to AWS ECS, and automated workflows with
Associate Python Developer at Novisync
January 1, 2021 - December 1, 2022
Developed a rule-based chatbot system in Flask/Jinja2 that processed 15,000+ monthly queries with an average 30% faster resolution rate. Reduced support team workload by 25% by automating FAQs, workflows, and escalation flows. Built chatbot-CRM integration APIs and implemented WebSocket-based real-time updates across web and mobile clients. Designed Power BI dashboards tracking usage metrics, reducing KPI reporting delays by 40%. Implemented SQLAlchemy ORM with PostgreSQL, ensuring optimized query performance and secure data storage. Enhanced system resilience with error handling, logging, and retry mechanisms, reducing downtime by 20%. Containerized chatbot with Docker and deployed to Azure App Service, ensuring zero-downtime deployments. Configured Azure Blob Storage for session history and logs, aligning with data retention and compliance policies. Built Azure DevOps CI/CD pipelines, reducing deployment times by 45%. Wrote comprehensive Pytest suites and set up test automation pipel

Education

Master of Science (M.S.) in Computer and Information Sciences at Florida Atlantic University
January 1, 2023 - December 1, 2024
Bachelor of Technology (B.Tech) in Electronics and Communication Engineering at SRI Vasavi Engineering College
June 1, 2017 - June 1, 2021

Qualifications

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Industry Experience

Financial Services, Professional Services, Software & Internet