Tej M is a Senior Cloud Data AI Engineer with 7 years of experience building scalable, cloud-native data platforms and real-time streaming solutions across finance, retail, and healthcare. He holds AWS and Databricks certifications and specializes in end-to-end ETL/ELT using Python, SQL, PySpark, Azure Databricks, Kafka, and Spark Streaming, with orchestration via Airflow and infrastructure as code using Terraform, Docker, and Kubernetes. At Clarkson University he architected a HIPAA-aligned analytics pipeline that unified EMR and HL7/FHIR data from 12 rural providers, cutting report latency from 48 hours to under 3 and provisioning datasets used for chronic disease ML models. His production work at companies like Con Edison, Zappos, and Charles Schwab emphasizes data quality frameworks, reduced pipeline failures, and actionable insights through Snowflake, dbt, and Tableau. Tej also integrates AI/ML into data workflows—leveraging LLMs for intelligent processing and building curated feature registries to streamline model development and inference monitoring. Based in the New York City area, he blends research-driven problem solving with hands-on production engineering to deliver robust, compliant data systems at scale.
7 years of coding experience
5 years of employment as a software developer
Jawaharlal Nehru Technological University Hyderabad
Master of Science - MS, Master of Science - MS at Clarkson University
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