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Utsav Verma

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Latest CV in PDF format. Versioned for clarity.

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Professional Summary

Senior Database Architect with 10+ years designing and operating high-performance data platforms. Specializes in SQL Server, performance tuning, availability architectures, and cloud migrations. Focused on pragmatic engineering, reliability, and measurable outcomes.

Skills

Databases

  • SQL Server (HA/DR, Always On, Query Store)
  • PostgreSQL, MySQL
  • Columnar stores, OLAP, Lakehouse patterns

Backend

  • .NET, C# APIs
  • Python ETL
  • REST, gRPC, messaging

Cloud

  • Azure SQL, Managed Instances
  • Azure Data Factory, Synapse
  • Containers, CI/CD, IaC (Bicep/Terraform)

AI

  • Embedding search over documentation
  • LLM-assisted incident analysis
  • Prompt engineering for DevOps workflows

Tools

  • GitHub, Actions, Workflows
  • Docker, Kubernetes basics
  • Observability: PerfMon, Query Store, Grafana

Work Experience

Acme Corp — Senior Database Architect

2022 — Present

  • Led SQL Server consolidation; reduced infra cost by 28%.
  • Designed HA/DR topology with RPO < 30s and RTO < 5m.
  • Built performance observability dashboards; 37% latency reduction.

DataScale Ltd — Database Engineer

2018 — 2022

  • Migrated on-prem workloads to Azure SQL with zero downtime.
  • Implemented index strategies and partitioning for 2TB OLTP.
  • Automated nightly health checks and capacity forecasts.

TechWorks — Software Engineer

2015 — 2018

  • Developed ETL pipelines and data APIs.
  • Improved query performance via caching and hints.
  • Contributed to monitoring/alerting playbooks.

Major Projects

Global Order Processing Platform

  • Problem: Inconsistent latency and frequent timeouts.
  • Solution: Query Store analysis, index redesign, and read replicas.
  • Tech: SQL Server, Azure SQL MI, .NET APIs, Grafana.
  • Impact: 45% p95 latency reduction; 99.95% availability.

Analytics Lakehouse Migration

  • Problem: Batch analytics too slow for reporting SLAs.
  • Solution: Incremental pipelines; columnar storage; orchestration.
  • Tech: Synapse, Data Factory, Parquet, Python.
  • Impact: 60% faster refresh; cost optimized by 22%.

Education