Prathamesh Ettam

Data Engineer

Bengaluru, Karnataka, India1 yr 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in scalable data workflows and cloud-native architectures.
Strong background in MLOps and machine learning lifecycle management.
Hands-on experience with Generative AI and large language models.

Stackforce AI infers this person is a Data Engineering and MLOps specialist in the SaaS industry.

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Skills

Core Skills

Data EngineeringMachine Learning

Other Skills

DatabricksAzure DatabricksApache KafkaData PipelinesMLflowApache AirflowPySparkRetrieval-Augmented Generation (RAG)Generative AI (LLM)Large Language Models (LLM)LangChainVector DatabasesAWSPrompt EngineeringDevOps

About

A versatile data engineer with a differentiated skill set spanning data platforms, machine learning systems, and modern AI technologies. My expertise centers on distributed data systems and cloud-native data architectures, using PySpark, SQL, Kafka, Databricks, Azure Data Factory, ADLS Gen2, and Airflow to create scalable and maintainable data workflows. In addition to core data engineering, I bring strong capability in machine learning and MLOps, including feature engineering, ML pipelines, experiment tracking with MLflow, and model lifecycle practices. My skill set also includes Generative AI, with hands-on knowledge of RAG (Retrieval-Augmented Generation), vector databases, and working with large language models alongside structured and unstructured data. Additional strengths include API-driven systems, CI/CD pipelines, Docker-based containerization, and platform automation, enabling end-to-end data, ML, and AI workflows. Focused on clean architecture, operational reliability, and building systems that scale with complexity. Strong understanding of system design principles, including modular architectures, scalability trade-offs, and fault-tolerant data systems.