Senior Software Development Engineer

Building large-scale data platforms for Amazon analytics.

I build Big Data Technologies platforms that help Amazon data engineers schedule, orchestrate, monitor, and recover Redshift and EMR workloads that produce business data at scale.

50K+ Amazon engineers and data builders supported
5M+ Analytics workflow executions per day
99.99% Reliability reached through orchestration redesign

Selected Platform Work

Systems work focused on reliable data production, operational automation, and low-latency dependency decisions.

AI Operations

Root-cause analysis for ETL operations

Led an Amazon Bedrock RAG platform for 30K+ developers, automating investigation across 3M+ ETL executions per day and reducing support by 50+ tickets per week.

Orchestration

Durable data pipeline execution

Redesigned Big Data Technologies' job orchestration platform for scheduling, retries, distributed state, and fault recovery across 5M+ analytics jobs per day.

Lineage

Dependency and completeness platform

Built lineage and completeness capabilities aggregating 50M+ events per day for low-latency dependency evaluation, workflow recovery, redrive, and debugging.

Experience

10+ years building backend platforms, distributed systems, and developer infrastructure.

Senior Software Development Engineer

Big Data Technologies, Amazon · Seattle, WA

Leading platform initiatives across AI-powered operations and workflow orchestration for Amazon's internal analytics and business data production stack.

Software Development Engineer II

Big Data Technologies, Amazon · Seattle, WA

Built dependency management, data completeness, lineage, and recovery systems for analytics workflows at Amazon scale.

Software Development Engineer I / II

Amazon · Bengaluru, India

Developed backend services and distributed ingestion workflows for Amazon Appstore application onboarding and publishing.

Technical Focus

Languages, platforms, and systems I use to build reliable data infrastructure.

Java Python Kotlin TypeScript Workflow Orchestration Event-Driven Architecture DynamoDB Kinesis EventBridge Lambda ECS S3 Docker Kubernetes Amazon Bedrock Apache Spark Apache Iceberg Redshift