Rohanraje Bhosale
@rohanrajebhosale1
Senior data engineer building AWS/Azure big data and AI platforms.
United StatesWhat I'm looking for
I’m a data engineer with 5+ years delivering large-scale big data, ETL, and cloud-native data platforms across AWS and Azure in finance, healthcare, and insurance. I architect governed lakehouses, distributed batch/stream pipelines, and enterprise analytics layers that support regulated, high-volume decision-making over multi-TB datasets.
In recent work, I’ve built AWS multi-domain lakehouse patterns with Medallion zones, designed Kafka + Kinesis ingestion with low latency, and engineered scalable ETL using Glue. I also lead modernization and analytics engineering with Redshift/Snowflake, dbt, and CI/CD/observability (CodePipeline, Docker, CloudWatch), while extending into ML/GenAI—feature pipelines in SageMaker/Azure ML and an RAG-based claims assistant—so teams can operationalize models reliably.
Experience
Work history, roles, and key accomplishments
Architected an AWS-based governed lakehouse and event-driven ingestion pipeline supporting regulated insurance analytics at 45+ TB scale. Built Spark/ETL and orchestration workflows, migrated warehouses to Redshift/Snowflake, and delivered ML/LLM-enabled claims automation with CI/CD and observability.
Designed metadata-driven Azure ingestion pipelines and an ADLS Gen2 lakehouse to support large-scale financial data processing. Built Synapse and Spark processing, implemented Terraform-based infrastructure provisioning, and delivered Azure ML lifecycle pipelines with Azure DevOps CI/CD.
Built AWS Glue-based ingestion and PySpark transformation pipelines for pharmaceutical and clinical analytics workloads. Optimized Redshift and Spark/Hadoop performance, orchestrated workflows with Airflow, migrated from SSIS to AWS services, and developed an NLP pipeline for clinical text processing.
Education
Degrees, certifications, and relevant coursework
University of Massachusetts Dartmouth
Master of Science in Data Science, Data Science
Completed a Master of Science in Data Science at the University of Massachusetts Dartmouth.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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