Skilled Data & AI Engineer with a proven track record in crafting and overseeing sophisticated data pipelines for optimal efficiency and impact. Here’s a snapshot of my experiences, AI & Platform Engineering Building a multi-modal Agentic AI platform Using LangChain, LangGraph, RESTful APIs, Azure Web Apps, Azure Storage Frontend with React, backend services with FastAPI Integrated DevOps: GitHub, GitHub Actions for seamless deployments Focused on Generative AI innovations Hands-on with Azure OpenAI Services Designing advanced prompts and fine-tuning LLMs for production Application Development Experience in monolithic and microservices architectures Strong understanding of system design for both scales Skilled in building scalable, resilient APIs and backend systems Data Engineering & Pipelines Building robust batch and streaming pipelines Technologies: Hadoop, Spark, Hive, Data Lakes Expertise in full ETL lifecycle: ingestion, transformation, storage Mastery in automating data workflows End-to-end automation from source to dashboard Data Management & Optimization Data modeling and database design specialist Creating scalable relational and NoSQL models SQL expertise Writing, optimizing, and debugging high-complexity queries Hands-on data migration across AWS, Azure, and GCP Ensuring integrity, security, and minimal downtime Scripting & Systems Operations Linux scripting for automation and task scheduling Skilled with cron jobs for monitoring and maintenance Debugging, troubleshooting, and optimizing system workflows DevOps & Orchestration CI/CD pipelines setup and management GitHub Actions, Docker for containerized environments Workflow orchestration with Airflow and Control-M Data quality checks, monitoring, and operational alerts Core Strengths Engineering intelligent, scalable, production-grade systems Strong problem-solving mindset with a focus on reliability and clarity Bringing together AI, data, and cloud technologies for real-world impact