ASHWIK REDDY AILENI

Designed a Spring Boot based microservices framework for no-code ETL configuration and execution to ingest data into Yext platform, reducing developer effort by 50%.

Built a Kafka-driven Runner service and stateless Execution Server to orchestrate extract-transform-load stages with real-time monitoring.

Collaborated with the Reviews team to build Review-event processor that polls a transactional-outbox table in MySQL, diffs and batches changes, and streams 100 k+ events per day to Kafka

Developed SEO-optimized web pages using React and Tailwind for multi-location brands, improving build speed by 90% and enhancing pagespeed and accessibility.

Migrated pages from legacy Soy templates to React for 10+ clients, improving maintainability and page speed

Played a pivotal role in developing scalable, fault-tolerant data pipelines using Spark, AWS Glue, S3, and Workflows to process over 1 billion patient records from PostgreSQL.

Improved data pipeline reliability and efficiency by 30% through logic optimization, error-handling and CloudWatch-based monitoring.

Developed a scalable data validation service using AWS Glue and S3 to automate schema checks, improving QA efficiency by 80%.

Executed and Managed 4+ data pipelines, handled bug fixes and ensured timely data delivery to clients.

Built a management console with Node.js backend and React.js frontend to track internal job statuses.

Implemented efficient data retrieval and exchange solutions using Spring Boot REST APIs.

Enhanced Kafka consumer performance using ExecutorService, reducing event processing time by 30%.

Improved test coverage to 90% using JUnit for Kafka producers and consumers.