Summary
Jitendra Sharma is an Enterprise Data Engineer with eight years of software engineering experience and a proven track record building end-to-end data platforms, ETL pipelines, and cloud-deployed APIs. He combines strong backend skills in Python, Java, and SQL with production experience across AWS, GCP, Azure, Snowflake, Spark, Kafka, and Airflow to deliver scalable data solutions. At Miami University he built and deployed an AI-generated image detection pipeline integrating vector embeddings, ChromaDB, LLMs and Ethereum verification—demonstrating a blend of research-grade ML systems and practical engineering. Previous roles span healthcare data workflows and backend API development, where he automated reconciliations with PL/SQL and containerized ETL services with Docker and Kubernetes. An AWS Certified Solutions Architect and lifelong learner based in Columbia, Missouri, he is immediately available and open to US relocation. Colleagues describe him as a collaborative problem-solver who mentors peers while shipping reliable, production-ready data systems.
8 years of coding experience