Yuvarakshana Sukumar

• • Built real-time media ingestion and streaming pipelines to process live sports feeds and generate event-driven clips with low latency. Tech Stack: Amazon Kinesis, AWS MediaLive, TypeScript, Amazon S3

• • Designed and implemented automated highlight generation pipelines using AWS Step Functions to orchestrate sports media workflows and clip curation processes. Tech Stack: AWS Step Functions, TypeScript, Serverless Framework, AWS Lambda

• • Enhanced operational visibility by implementing observability and monitoring solutions with CloudWatch, centralized logging, alerts, and real time pipeline health tracking.

• • Automated post-match Full Event RePlay (FER) generation, reducing turnaround time by 60% for production and broadcast teams.

• • Implemented live match alerting features to notify subscribers about parallel ongoing matches and important match events through SNS-based notification workflows. Tech Stack: Amazon SNS, AWS Lambda, GraphQL, TypeScript

• • Integrated observability, monitoring, and alerting solutions to improve production visibility and proactively detect system failures. Tech Stack: Amazon CloudWatch, CloudWatch Alarms, Metrics, Observability Tools

• • Developed and maintained CI/CD pipelines to automate application builds, deployments, and release management across environments. Tech Stack: AWS CodePipeline, AWS CodeBuild

• ● Expertly verified, validated, and proposed optimal schema designs, resulting in a 20% improvement in database performance and efficiency.

• ● Collaborated with a cross functional team, specializing in software licensing provisioning, fulfilment, management and enforcement domain .

• ● Optimized backend service performance by designing a multi-cloud solution, resulting in a 30% improvement in response time.

• ● Led a team of 15 as Scrum Master, ensuring adherence to Agile practices and managing SCRUM ceremonies, which resulted in a 20% boost in project delivery efficiency and consistently meeting objectives.

• ● Developed an ETL pipeline to extract data from S3, transformed it using PySpark in AWS Glue, and loaded the transformed data into Cosmos DB. Tech Stack used – Py spark, S3,Glue, Cosmos DB

• ● Enhanced team code quality and productivity by effectively mentoring junior developers and conducting thorough code reviews.

• ● Designed, implemented, and developed scalable RESTful APIs. Tech Stack used : Python and related library

• ● Achieved a 40% reduction in infrastructure costs by designing a serverless microservice architecture using AWS Lambda, API Gateway, and DynamoDB, which enhanced scalability and availability.

• ● Designed event-driven solutions using DynamoDB Streams, AWS SQS, and AWS Lambda for asynchronous communication between systems.

• ● Implemented the CQRS pattern by offloading read operations to Cosmos DB, reducing query response times from 2 seconds to under 500 milliseconds, which meets the customer's requirements. Tech Stack used : Node js, Azure Function App, Cosmos DB

• ● Implemented a AWS Step function to orchestrate multiple operations asynchronously, scheduled through AWS event Bridge.

• ● Created YAML deployment descriptors for deploying AWS services in the cloud, streamlining the deployment process and reducing deployment time by 30%.

• ● Utilized Pytest for implementing unit test cases.