Currently, as a Senior Solution Data&AI Architect, I lead teams across 4 regions (UAE, Egypt, Syria, and India) while working as both a engg leader and individual contributor (IC). My focus is on enhancing people, processes, products, and services through Distributed Systems, Data & AI-driven insights, and Cloud-native Enterprise architectures. By automating workflows and optimizing processes, I develop scalable, resilient, and fault-tolerant solutions that are also cost-effective. With a strong foundation in Enterprise Architectures, Big Data, and AI, I support large-scale solutions that align well with the demands of senior engineering roles. 🚀 Published 7+ articles on Big Data, Cloud, and Distributed Systems: ⚡ https://github.com/burhanuddinbhopalwala ✏ https://medium.com/@burhanuddinbhopalwala ✏ DEV Community: https://dev.to/burhanuddinbhopalwala 🚀 Certifications: Professional Scrum Master Certified in Data Structures and Algorithms (CCDSAP) by CodeChef/Directi AWS 5x Certified in Solutions, Database, Big Data & Analytics and Security Specialties 🚀 Skills: ✪ Proficient Languages: Python 3, Ruby, JavaScript (ES6), Java, Golang, Scala ✪ Distributed Systems & Enterprise Architecture Certified Solutions Architect with expertise in distributed systems, enterprise platforms, and cloud-native architectures. Modernizes monoliths into scalable microservices using HLD/LLD and Domain-Driven Design (DDD). Enhances performance and reliability through optimized caching, logging, and stateless design. Skilled in serverless frameworks and SAML/OAuth2, driving scalability, DRY, SOLID, TDD, and security. ✪ Big Data & Cloud Engg AWS Big Data & Analytics certified, with hands-on experience building real-time and batch pipelines using Kafka (Zookeeper-less/serverless), NiFi, Debezium, Spark, Trino, and Kappa/Lambda arch/s. Expert in cloud-native ETL/ELT, data lakes, and marts. Delivers predictive/prescriptive analytics systems with self-serve capabilities, optimized through partitioning, compression, and IaC. Versed in both open-source and cloud platforms for scalable, high-performance data ecosystems. ✪ Platform Engg & Cognitive AI Systems Ensures PII, PHI, and HIPAA compliance via encryption, masking, and threat detection. Builds CI/CD pipelines with AWS Developer Suite, excelling in Kubernetes (K8s), observability, distributed tracing, IRS, and APM. Focuses on MLOps and inference optimization for MLP, CNN, RNN, GAN, and GenAI (RAG) models. Designs resilient, event-driven orchestration using A2A (ACP) and MCP tooling to deploy scalable cognitive AI agents.