ANISH BARAL

I am a Senior Data/ML Engineer with 6+ years building cloud-native, scalable data platforms across healthcare, retail, and finance. I design secure, HIPAA-compliant data lakes and medallion architectures and migrate legacy workloads to modern cloud warehouses.

I build modular batch and streaming ETL pipelines with PySpark, Spark (Scala), Delta Lake, Databricks, Kafka, and AWS/ Azure services, and I integrate ingestion frameworks (NiFi, ADF, Glue) to onboard 100+ sources. I apply dbt for modular SQL transformations and CI-driven data quality enforcement.

I collaborate with ML teams to deliver production ML/Ops—deploying models with MLflow, SageMaker, and Azure ML—and have led initiatives in deep learning, NLP, computer vision, and LLMs for cancer diagnostics and patient stratification. I develop low-latency APIs and monitoring with FastAPI, Lambda, Prometheus, and Grafana.

I lead and mentor cross-functional teams, implement CI/CD and IaC (Terraform, GitHub Actions, Azure DevOps), and promote data governance, observability, and domain-driven architectures to deliver reliable analytics and data products that drive business outcomes.