Pavan Devulapally — Software Engineer

I’m a results-driven Data Engineer with over 3 years of experience building and optimizing cloud-native data pipelines and scalable backend systems. My core expertise lies in AWS (Glue, Lambda, S3, DynamoDB, SQS), Python, SQL, and PySpark, with a strong track record in automating and modernizing complex ETL workflows. Recently, I’ve expanded my focus into backend microservices, leading the design and development of secure, production-grade REST APIs using FastAPI for internal data collection and processing tools. I’ve implemented JWT-based authentication, modular service layers, and proxy routing patterns, alongside CI/CD pipelines with GitHub Actions, Pytest, and SonarQube for reliable deployments. Throughout my career at FactSet, I’ve contributed to mission-critical systems, migrated legacy C++ ETL processes to Python, mentored interns, and actively participated in architectural decisions across teams. 🔹 Key Highlights: - Built real-time ETL pipelines using AWS Glue + PySpark - Developed FastAPI-based microservices with secure routing and shared utilities - Designed CI/CD workflows and integrated automated testing & static analysis - Recognized with Star and Blue Ribbon awards for performance and impact I'm passionate about solving complex data challenges, writing clean and maintainable code, and building systems that scale. Let’s connect if you’re building something data-driven!

Stackforce AI infers this person is a Data Engineer specializing in cloud-native solutions and scalable backend systems.

Location: Hyderabad, Telangana, India

Experience: 3 yrs 9 mos