Vamsikrushna L

Architected end-to-end ingestion and processing for a T-1 clickstream platform, evolving it toward near-real-time analytics for ~2B events/day. Designed and governed raw-to-curated-to-analytics Lakehouse and warehouse pipelines, and led architecture and design reviews.

Designed and integrated the o9 Data Lake and pipeline platform, improving data accessibility and processing efficiency. Built a Spark Profiler for continuous monitoring and performance optimization, and led performance tuning and resource optimization.

Delivered distributed solution and cloud data pipelines using AWS, Databricks, Python, Spark Streaming, and Kafka.

Built AWS, Java/Spark/GCP pipelines for audience segmentation and petabyte-scale processing, and worked with Elasticsearch.

Developed data pipelines, log ingestion, Splunk integration, real-time monitoring, and analytics.

Worked on Java, Spark Streaming, Kafka, HBase, and Redis-based security analytics.

Engaged in enterprise software engineering and data-platform development.

Developed backend products, integrations, data processing, and enterprise software delivery.

Performed backend development, data-processing components, algorithms, testing, and release delivery.

Completed a Bachelor of Technology in Computer Science from Jawaharlal Nehru Technological University, Anantapur in 2011.

Completed a Bachelor of Technology in Computer Science from Jawaharlal Nehru Technological University, Anantapur in 2011.