Hi There,
I'm Vamsi Krishna
i am into
About Me
I'm a Software Engineer residing in Hyderabad, India, with 3+ years of experience in Backend development and Cloud Operations using AWS and GCP services. My academic background includes a Mechanical Engineering degree from JNTU, Kakinada, where I studied at VITB. I am deeply passionate about cloud computing and am committed to continually learning and refining my skills in this field. My goal is to develop applications that work with low latency and high scalability.
email : vamsijeelakarra1999@gmail.com
place : Hyderabad, India
Learn continually. There's always “one more thing” to learn.
JNTU, Kakinada | VITB
Aditya Junior College | BIE
Sri Chaitanya Techno School
June 12 2023- April 26 2024
Description:
• Received and processed incoming requests from the Source System topic, subscribing to the project’s Kafka topic, handling a daily average of 500 requests.
• Implemented the MVC (Model-View-Controller) architectural pattern, resulting in a codebase that improved code maintainability and reusability by 30%.
• Orchestrated data flow to a microservice, facilitating seamless Experion Auth API and Proposal API calls, optimizing API response time by 25%.
• Delivered finalized credit decision payloads back to the Solifi Kafka topic, achieving a 98% success rate in data transmission.
March 2021 - May 2023
Description:
• Reduced BigQuery costs by 15% by optimizing data pipeline processes using Google Cloud Dataflow and Flex Templates, generated with Python and Node.js, minimizing data ingestion volumes and improving processing efficiency
• Maintained 99.9% system uptime by monitoring critical cloud services via Google Cloud Operations Suite (Stackdriver), proactively managing thresholds, and reporting incidents when metrics exceeded predefined limits
• Improved issue resolution time by 20% through Root Cause Analysis (RCA) of errors found in GCP Logs Explorer, identifying and implementing long-term fixes to prevent recurrence.
• Resolved 60+ Jira tickets related to cloud infrastructure and data pipeline issues, contributing to a 25% increase in client satisfaction by delivering prompt and effective cloud support
