Krishna Chaitanya

About Krishna Chaitanya

I’m an opportunist, risk-taker, and optimist by nature (portraying a growth mindset), which is showcased by my interest in Data Science and Software development has enabled me to get acquainted with Languages like Java, JavaScript, and Python. Good Experience with Django, Flask, and Fast-API 8+ years of extensive experience in Information Technology with expertise in Software Design, Development, Testing, and Deployment of Software Applications in Banking, Finance, Insurance, and Retail.My aim is to develop simple business solutions using various architectures, technologies coupled with my programming abilities.• Excellent team player along with good communication, problem-solving, and analytical skills.• Implemented projects using the Agile methodology, an expert at translating business requirements into technical solutions.• Software Development | Architecture Solutions | Cloud Systems | UNIX | Data Structures | Algorithms and Analysis | Dev Ops

Experience

1. Senior Software Engineer

   Elevance Health

   Aug 2022 — Present · Cincinnati, OH, US

   Project : Anthem Broker Portal Services Migration-> Worked on building robust Data transformation Pipeline and a DAAS application for the insurance Brokers/Agents data to replace existing Slower refresh system-> Replacing existing system that transforms data from 3 different sources and stores it in on-premises SQL DB to a seamless flow to stream data via Kafka and store transformed data into Postges DB for transactions and AWS S3 inHudi format for access via AWS Athena for analytics-> Worked on AWS Glue transformation jobs to transform Hudi format data from S3 and store in AWS Postgres DB for the DAAS API and S3 for archival and Analytics on AWS Athena-> Developed a Robust Flask GraphQLAPI for DAAS application to fetch data from Postges DB to seamlessly provide great experience UpStream Insurance Broker portals-> Worked with Graphene to build all necessary schema for the fetching the appropriate data required and making required optimizations at a single point, rather than in all the upStream consumer products ->(Key Achievement) Improved transformed data refresh from 8-12 hrs to real or near real-time(<< 15 mins).Lead Communications with multiple business consumers and Successfully helped migrate from existing process toconsuming data via upgraded DAAS Application.Worked in an Agile (Scrum) environment. Actively participated in Sprint, PI planning, while working with mutiple Juniorresources. Organized, tracked progress and delivered all the features in a timely manner.