Baharath Bathula

Data Engineering & ML Pipelines

Python, SQL, PySpark · Spark · Airflow · MLflow · AWS & Azure · Docker · System Design

Strong specialist with cross-domain exposure to cloud, analytics, and MLOps.

Currently deepening my expertise in production-grade data engineering and ML pipelines, with a focus on Spark optimization, cloud-native architectures AWS, and MLOps workflows.

Actively developing cloud-based data engineering frameworks, including ETL pipelines, data quality checks, and ML workflows using Python, Spark, and cloud services.

Open to technical discussions, knowledge sharing, and collaborations around data engineering, AI/ML systems, cloud architectures AWS, and production-scale pipelines.