▶️ Burhanuddin is a Senior Software & Data Architect with extensive experience leading engineering / tech teams across the UAE, Egypt, Syria, and India. He has improved people, processes, products, and services through his expertise in Distributed Systems, Data-driven AI innovations, and Cloud-native and Enterprise architectures. By automating workflows and optimizing processes to reduce costs, he has consistently driven efficiency and delivered measurable results. His leadership in Enterprise Architectures, Big Data & AI positions him as a strong candidate for senior roles in Data, AI, and large-scale enterprise solutions.🚀 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:Certified Agile Scrum MasterCertified in Data Structures and Algorithms (CCDSAP) by CodeChefAWS 5x Certified in Solutions, Database, Big Data & Analytics and Security Specialties🚀 Skills:✪ Proficient Languages: Python 3, Ruby, JavaScript (ES6), Java, Golang, Scala✪ Distributed Systems & ArchitectureCertified Solutions Architect specializing in distributed systems, enterprise, and cloud-native solutions. Transforms monolithic systems into scalable microservices using design patterns like Domain-Driven Design (DDD). By optimizing cross-cutting concerns such as caching and logging, ensures high availability and secure, high-performance systems. Expertise in serverless frameworks and SAML/OAuth2 enhances both scalability and security.✪ Big Data & Cloud EngineeringCertified in AWS Big Data & Analytics, designing real-time and batch streaming pipelines with Kafka, Debezium, Spark, Trino, and Kappa/Lambda architectures, alongside cloud-native tools like Kinesis, RedShift, Glue, S3, and Athena. Builds efficient ETL/ELT pipelines, data lakes, and marts, optimizing queries with partitioning, compression, and IaC for scalable solutions across open-source and cloud environments.✪ DataOps, DevSecOps, MLOps & AIEnsures data masking and compliance with PII, PHI, and HIPAA via encryption, vulnerability management, and threat detection. Proficient in CI/CD pipelines using AWS Developer Suites, Kubernetes (K8s), and observability tools like Prometheus and Grafana. Focuses on inference optimization and continuous training in MLOps, specializing in LLMs and deep learning models (MLP, CNN, RNN, GAN) to deliver robust AI solutions.