Data-product contracts, with controls
Owned a five-phase generation and validation loop for configurations, schemas, DDLs and 20+ transformations.
47 Databricks pipelinesDays → hoursWaza evaluation
Bengaluru · Remote & flexible opportunities
IIT PatnaM.Tech · AI & Data Science EngineeringSenior Data Engineer building reliable platforms and controlled Agentic AI.
SQL · Python · Databricks · Agentic AI
Five years of production engineering, analytics and AI-automation experience across HP, Amazon and BYJU'S.
Selected production impact
Three stories. Measured outcomes. No résumé repetition.
A quick view of engineering ownership and outcomes, with confidential implementation details intentionally omitted.
Operational context, not another dashboard
Built and deployed a RAG-based support agent to retrieve context, correlate failure signals and recommend corrective actions.
54 production pipelines85–90% fewer checksHuman review
Scale, reliability and measurable efficiency
Led migration, observability and distributed-processing improvements across high-volume enterprise workloads.
40 pipelines migratedZero migration failures~75% faster
Also delivered~$1.55M annual savings contribution~70% less recurring reporting effort15M+ users supported
Career snapshot
Data foundations. AI direction.
Production data engineering remains the foundation; Agentic AI and evaluation are the direction of growth.
HP
Data Engineering & AI Platform Automation
Amazon
SQL pipelines, analytics automation and LLM evaluation
BYJU’S
16-member team leadership and SQL-led operating reviews
Open to the right conversation
Senior Data Engineering · Data Platforms · Applied AI
Open to remote-first or flexible permanent opportunities.