Mohammed Danish Khan

About Mohammed Danish Khan

I am a passionate and results-driven Senior Data Engineer with over 10 years of experience delivering high-impact data solutions across AWS, Azure, and Google Cloud Platform (GCP). My work focuses on building scalable, secure, and real-time data pipelines, enabling organizations to make data-driven decisions at scale. My expertise spans across: Big Data technologies like Apache Spark, Kafka, Hive, and Hadoop Cloud-native ETL orchestration using AWS Glue, Apache Airflow, Azure Data Factory Data warehousing (Snowflake, Redshift, BigQuery) Machine Learning operations using PyTorch, TensorFlow, MLflow, and Kubeflow Data governance, modeling, and security (IAM, Ranger, OAuth2.0, Unity Catalog) Streaming data and event-driven architectures (Kafka Streams, GCP Pub/Sub) CI/CD and infrastructure-as-code (Terraform, CloudFormation, Docker, Kubernetes) I’ve led data initiatives at companies like State Farm, Anthem, Humana, and Cox Communications, helping them modernize infrastructure, optimize performance, and scale analytics through automation, ML, and advanced data engineering. I thrive in cross-functional environments, partnering with engineers, data scientists, and business leaders to align technical solutions with strategic goals.

Experience

1. Senior Data Engineer

   State Farm

   Nov 2023 — Present · Bloomington, IL, US

Education

• St.Peter's Engineering College

  Bachelor of Technology - BTech

  2008 — 2012

• Cleveland State University

  Master's degree

  2014 — 2016