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Hariom Vyas
Mid-level Solutions Engineer specializing in AI SaaS and cloud data platforms
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About
Data/IoT engineer focused on production-grade, zero-data-loss streaming and industrial integrations—built Kafka/Spark pipelines at millions of events/day and executed dual-run migrations with blue-green deployments. Experienced bridging on-prem industrial systems (PLCs/MES) to AWS/Azure and collaborating on-site with operators to deliver MQTT-based real-time ingestion and dashboards, driving 60%+ latency improvements and stabilizing ETL by resolving network hardware faults.
Experience
Education
Key Strengths
- Designed and deployed Kafka + Spark Streaming pipeline processing millions of events/day
- Zero-data-loss migration using blue-green deployment, replication/acks, idempotent producers, and Spark checkpointing
- Improved streaming processing latency by 60%+
- Cross-layer debugging across software, on-prem hardware, networking, and cloud endpoints (identified faulty switch port)
- Built customer-configurable Python validation framework via YAML (no-code rule configuration for non-technical users)
- Performance optimization with multiprocessing for large datasets
- On-site customer/operator collaboration with short feedback cycles, daily standups, and rapid prototyping
- Reduced warehouse sensor-to-database data latency by 70%+ using MQTT and monitoring dashboards
- Strong in cloud + IoT integrations connecting PLC/MES to AWS/Azure for real-time analytics
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