Data Architect
About Candidate
Introduction:
With 15+ years of experience, the candidate has a strong background in telco, AI/ML, low-code automation, security, fintech, and digital marketing. They have worked on large-scale integrations, high-throughput distributed systems, and AI-driven architectures. Their expertise includes designing real-time data processing solutions, cross-data center replication, low-latency authorization, and zero-trust security implementations. They have built scalable microservices, optimized workflow automation, and ensured secure, high-performance data handling across industries. Their contributions have improved system efficiency, scalability, and resilience in various high-demand environments. They have worked extensively with cloud computing, telemetry systems, and advanced encryption techniques to enhance system reliability and performance.
Responsibilities:
- Designed and implemented carrier-grade real-time querying systems handling millions of network events.
- Developed a high-throughput event aggregation system using C++, Golang, Apache Arrow Flight SQL.
- Built low-latency telemetry solutions with OpenTelemetry, Prometheus, and Grafana for telco networks.
- Engineered cross-data center data replication ensuring high availability and low latency in SDN environments.
- Architected and deployed AI-driven automation platforms for real-time workflows and low-code solutions.
- Designed zero-trust security models with JWKS-based offline validation and real-time token authentication.
- Developed passwordless IAM systems leveraging biometrics, AI, and master-master storage replication.
- Built high-frequency crypto trading platforms with 100K+ transactions per second throughput.
- Optimized video analytics pipelines for large-scale telemetry and ad data aggregation.
- Led the design of multi-tenant cloud architectures with scalable and secure AI components.