u/mcheetirala2510

​9 years of experience specializing in building and optimizing production-ready data systems.

​Core Expertise

​ML Infrastructure: Productionizing models using AKS, SageMaker, and Docker.

​Modernization: Migrating legacy systems to Palantir Foundry and Databricks.

​Data Governance: Implementing Data Contracts to stabilize downstream pipelines.

​Cost Optimization: Reduced annual cloud spend by $250k for a previous client.

​Technical Stack

​Infrastructure: Terraform, Docker, Azure, AWS.

​Data Engineering: PySpark, Azure Data Factory, Databricks, Palantir Foundry.

​Schedule & Rate

​Rate: $60/hr (USD).

​Hours: 9 AM – 9 PM IST.

​Overlap: Full overlap with EMEA/UK; "Follow-the-sun" support for US teams.

​Contact: Please send a DM or Chat to discuss project requirements.

Does your data infrastructure feel like a house of cards?

​I’m a Senior Data & MLOps Engineer with 9 years of experience (ex-Microsoft, EPAM) specializing in turning messy data into reliable, production-ready systems.

​How I can help your team:

​Production ML Infrastructure: Building robust AKS/SageMaker environments so your models actually reach the user.

​Data Governance & Stability: Implementing "Data Contracts" to ensure your upstream changes don't break downstream pipelines.

​Modernization: Specialized in migrating legacy systems to Palantir Foundry and Databricks.

​Cost Optimization: I recently saved a client $250k/year by optimizing their compute and storage strategy.

​The Tech Stack:

​Infrastructure: Terraform, Kubernetes, Docker.

​Pipelines: Databricks, ADF, PySpark, Palantir Foundry.

​Availability: 9 AM – 9 PM IST. This offers full overlap with EMEA/UK and a significant "follow-the-sun" advantage for US teams (I build while you sleep, it's ready when you wake up).

​Rate: $55/hr.