AWS & Microsoft Certified Data Engineer
Data Engineer specializing in large-scale ETL/ELT pipelines, cloud data infrastructure, and AI/ML systems. Built production workloads spanning 100M-record batches and 1B+ insurance claims, with measured 66-86% performance improvements across insurance, sports analytics, and healthcare.
About
Data Engineer with expertise in large-scale data infrastructure, real-time processing, and AI/ML systems. I've migrated 1B+ insurance claims to distributed cloud architectures, eliminated a 90-minute production bottleneck, and built ML retention pipelines that cut churn 20%.
Track record of rapid impact across insurance, sports analytics, and healthcare - promoted within 6 months at Super Six Sports Gaming and awarded the SPOT Recognition Award for delivering critical data infrastructure under tight deadlines.
Achievements
Won Track 1 with MeetFlow - intelligent task orchestration converting meeting transcripts into capacity-aware ticket assignments using LLM-powered analysis, competing against 100+ teams.
Passed DEA-C01 (May 2026) - validated expertise in data pipeline design, ETL optimization, AWS Glue/EMR/Redshift, and implementing data quality frameworks at scale.
Passed DP-700 (May 2026) - validated expertise in Microsoft Fabric data engineering, data warehousing, and cloud data solutions.
Built a medical-bill audit pipeline at HackASU that uses Claude Vision to detect overcharges and billing violations - targeting the kind of errors that average $1,300+ per hospital bill across the industry.
Recognized at Super Six Sports Gaming for exceptional delivery and cross-team collaboration on critical product features.
Certifications
Experience
AI / Data Engineer (Industry Capstone)
Tempe, AZ
Consultant II, Data Engineering
Delivered across two client engagements: a major US auto insurer and a global toy manufacturer.
Gurugram, India
Data Engineer
Promoted within 6 months based on performance.
Gurugram, India
Associate Data Engineer
Bangalore, India
Data Analyst
New Delhi, India
Projects
Led the LLM pipeline & orchestration layer
Intelligent task orchestration that converts meeting transcripts into actionable tickets. Analyzes via GPT-4o-mini, checks team capacity through Taiga, recommends smart reassignment for overloaded members, and notifies via Slack.
VillageHacks 2026 | Notary Everyday Track
A multi-provider AI pipeline that verifies identity documents against the AAMVA 2020 standard, replacing manual ID inspection with a scored, auditable report. Claude-based agents independently analyze the document, a local PDF417 decode acts as ground truth, and a judge agent resolves conflicts before generating an APPROVE / REVIEW / REJECT recommendation.
Solo builder | HackASU Claude AI Builder Hackathon
A medical-bill audit pipeline that reads your bill, identifies every charge, benchmarks against CMS Medicare pricing data for your state, detects overcharges and billing violations, and generates a ready-to-send dispute letter. Built to target the kind of errors that average $1,300+ per hospital bill across the industry.
LA Hacks 2026 | with Hemakshi Pandey
An AI assistant that executes real actions across Gmail, Calendar, Notion, Jira, and GitHub through a single plain-English conversation. It routes intent through a LangGraph workflow to pull data in parallel and take real actions like moving calendar events, sending emails, creating tasks, and prioritizing work.
A serverless, multistage face recognition system using edge computing. IoT clients send video frames processed through decoupled detection and recognition stages via event-driven architecture - scalable, real-time identification without persistent servers.
Full-stack productivity platform with Google OAuth, Focus Score tracking, daily task management, Pomodoro timer, and motivational micro-challenges.
A developer wellness app with mixable ambient soundscapes, 10+ casual mini-games, and a calming UI - because even builders need a break.
Centralized feature store using Apache Iceberg with time-travel, enabling ML teams to train, test, and deploy from a single source of truth.
Migrated 50 legacy SAS workflows to Spark, cutting runtime from 6+ hours to under 50 minutes via partitioning, broadcast joins, and caching.
Get in Touch
Open to Data Engineer, ML Engineer, and Backend Engineer roles focused on large-scale data infrastructure, real-time systems, and AI/ML platforms. Willing to relocate anywhere in the US for the right opportunity.
