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Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
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About
Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.
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Key Strengths
- Owned high-stakes SQL data migration of ~70K accounts / 5–6M records with strong focus on integrity and security
- Uses detailed, auditable design docs with time estimates to drive execution and reduce risk
- Runs cross-functional pre-production test migrations to surface edge cases and improve reliability
- Designed and implemented Redis cache layer (cache-aside + dynamic TTLs) to reduce DynamoDB latency and cost
- Pragmatic trade-off analysis (managed ElastiCache vs self-managed Redis) balancing cost, complexity, and UX
- Microservices experience with async messaging (SQS/Kafka) and container deployments (EC2/ECS)
- Implemented service-mesh observability with Istio tracing routed to Jaeger and mesh visualization via Kiali
- Built internal automation tool integrating GSC API with centralized failure dashboard; saved ~15–30 hours/day
- Effective prioritization and delegation under competing responsibilities (release manager rotation + feature delivery)
Reference Highlights
- built and maintained a critical data reconciliation platform
- extended a strategic payment processing channel
- strong ownership from concept to launch
- effective communication of rollout plans and incidents to broad stakeholders
- reliable; can be trusted to put in extra effort when required
- hands-on support during releases (including weekends)
- quickly ramps up on new technologies and stacks
- self-starter
- escalates appropriately when needed
- adapts quickly to company culture
- comfortable and effective working across functions
- high trust to build scalable, critical systems and tools
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