Hi Reddit,
I am a Senior Data & MLOps Engineer with 9 years of experience building production-grade architectures for companies like Microsoft and EPAM. I specialize in creating reliable data pipelines and scalable ML infrastructure that actually saves businesses money.
🚀 Key Business Impact
Cost Efficiency: Saved $250,000 USD for a recent client by optimizing data refresh logic and migrating legacy systems to Palantir Foundry.
Reliability: Pioneered "Data Contracts" (Schema Validation) across 300+ datasets to eliminate downstream pipeline failures.
Scale: Designed and managed end-to-end ML pipelines on AWS SageMaker and Azure Kubernetes (AKS).
🛠 Technical Stack
Data: PySpark, SQL, Databricks, Azure Data Factory, Palantir Foundry.
MLOps/DevOps: Docker, Terraform, CI/CD, SageMaker, Kubernetes.
Languages: Python, SQL, Scala.
🌍 Remote Logistics
Timezone: I work 9 AM – 9 PM IST, providing a full 8-hour overlap with GMT/BST and CET.
Rate: $55/hr (USD) or £45/hr (GBP). Open to long-term contracts or project-based work.