Interactive resume
Rishabh Gupta
Technology and data platform engineer with 10+ years of experience designing, integrating and operating enterprise applications, cloud infrastructure, data platforms, AI-enabled solutions and production services.
Profile
10+ years of engineering experience across platform, cloud, data and operational systems.
Experience Domains
production
Platform And Reliability Operations
Technical ownership across the Databricks layer of the M3 platform, operational tooling, observability, Kafka integration, cloud automation and production reliability.
production
Data Platform And Performance Engineering
Databricks, Spark, Delta Lake and MSSQL-oriented data engineering focused on throughput, validation, data quality and architectural tradeoffs in large-scale workloads.
research
AI Infrastructure And Engineering Lab Work
Exploring knowledge systems, local LLM tooling, embeddings, vector databases, MCP, RAG and agentic workflows as practical infrastructure problems connected to support and incident workflows.
production
Application Modernization And Infrastructure Migration
Modernization work across enterprise application and data platforms, including deployment automation, NGINX reverse-proxy design and infrastructure migration.
production
SQL Server ETL And Reporting Engineering
SSIS ETL pipelines, SSRS reporting, SQL optimization and workload scheduling for enterprise data processing and reporting workloads.
production
Enterprise Application Support Engineering
Enterprise application support across backend development, deployments, integration support, defect resolution, SQL analysis and production troubleshooting.
Selected Case Studies
M3 OPS
Production ExperienceA production-oriented operations surface spanning health monitoring, data search, comparator workflows, configuration, access flows and incident-adjacent support patterns.
Data Platform Performance Scenario
Large-Scale Engineering ScenarioA performance-engineering scenario centered on Databricks, Spark, staging design and MSSQL write patterns, including a scenario involving roughly 700M records.
AI Knowledge Base
Engineering Lab / AI ExplorationAn engineering-lab system for document ingestion, chunking, embeddings, vector retrieval and agent workflows using local and hosted AI tooling.
Observability Platform
Production ExperienceA connected view of application signals flowing through search, metrics and tracing systems into alerting and ticketing workflows.
Kafka Event Streaming
Production ExperienceStreaming-oriented thinking around Kafka, Kafka JDBC Sink and event-driven integration patterns where operational correctness matters as much as throughput.
Claims Highway
Production ExperienceA data-integration and reporting-oriented experience area focused on SQL Server tooling and modernization paths for established enterprise workflows.
SAM
Production ExperienceA modernization-oriented application surface where frontend, backend and architecture choices need to balance delivery speed with maintainability.
Certificate Management / MHDR
Production ExperienceAn operations and SRE-oriented problem space around certificate lifecycle visibility, automation and production safety.
Technical Domains
Platform Engineering
Operating systems, delivery workflows and runtime environments that make other teams faster and safer.
Cloud And Infrastructure
AWS-oriented engineering across compute, networking, identity, data and service integration layers.
Data Platforms
Data movement, processing, storage and reliability across analytical and operational systems.
Observability
Instrumenting systems so incidents, regressions and reliability risks are easier to understand and fix.
AI Infrastructure
Practical experimentation across local models, retrieval systems, vector search and agent tooling.
Application Engineering
Web application and API engineering that supports operational and platform workflows.