Rohit Kumar

I’m a data engineer focused on building governed, scalable platforms that turn complex data sources into reliable, decision-ready systems. At Moody’s, I built and led deployments of the AIDE framework, ingesting 50+ feeds from 8+ heterogeneous sources (JDBC, APIs, S3) with a design that cut infrastructure costs by 60% and reduced deployment time by 75%.

I also drive data quality and stakeholder visibility through strong data governance. I engineered operational governance using Great Expectations (covering 90%+ of feeds across 10+ TB), enabling unified monitoring via AWS CloudWatch dashboards for faster issue resolution.

To accelerate analytics and downstream work, I’ve developed data lakehouse capabilities around Apache Iceberg with ACID transactions and data lineage. This reduced data prep time by 50% for 30+ data scientists, and I built an MCP server to enable faster data access and exploration.

Previously at Axis Bank, I delivered business-impacting pipelines and self-service experiences. I designed ETL pipelines and dashboards for 16 product lines, saving 72 hours/month and reducing repeat complaints by 40% by Q1 FY’25; I also led compliance-focused improvements (52% reduction in missing income customers) and built CRM data infrastructure that increased NPS by 17% for sales teams. My project work includes Kafka + Spark real-time streaming to AWS S3 and an Airflow + PySpark sentiment analysis pipeline that improved processing efficiency by 30% while saving 15 hours weekly on routine admin tasks.