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Shridhar BD

@shridharbd

Senior Data Engineer at Enlight Now integrating healthcare data and GenAI to automate reporting and generate operational insights.

India

Message

At Enlight Now, I develop Python ETL services that integrate healthcare vendor APIs, standardize medicine and diagnostic data, and load analytics-ready datasets into Snowflake. I’ve also integrated LLMs, RAG, Agentic AI, and Augusta AI into reporting workflows to automate customer interaction summaries and generate operational insights.

For USAA, I designed Azure data pipelines and a Medallion Architecture to process financial data with ADLS Gen2, Databricks, PySpark, and Delta Lake. I also implemented dbt, Terraform, and Azure DevOps CI/CD, reducing processing and release cycles by 25%.

Earlier, at Aroha Technologies and Cosmocrat Software Solutions, I developed data pipelines and analytics solutions for financial reporting and business intelligence. My projects include a Wordle game API with 99.5% uptime and a retail inventory analytics dashboard.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Engineer

Current

Enlight Now

Feb 2026 - Present (8 months)

Developed Python ETL services to integrate healthcare vendor APIs and load analytics-ready datasets into Snowflake. Led a team of 4 engineers to design scalable data models and implement automated data-quality frameworks.

Python ETL Snowflake GenAI LLM RAG Agentic AI Augusta AI Data Modeling Data Quality

Data Engineer II

USAA

Jan 2024 - Dec 2025 (1 year 11 months)

Designed Azure Data Lake architecture using ADLS Gen2, Azure Data Factory, and Databricks/PySpark for scalable transformation of financial data. Implemented Medallion Architecture and built hybrid batch and event-driven pipelines.

Azure ADLS Gen2 Azure Data Factory Databricks PySpark Delta Lake Azure Event Hubs Azure Synapse DBT Terraform Azure DevOps CI CD SQL

Data Engineer

Aroha Technologies

Mar 2020 - Dec 2021 (1 year 9 months)

Developed and optimized ETL/ELT pipelines using Python, PySpark, SQL, and Azure Data Factory, ingesting customer loan data into Azure Data Lake Storage Gen2 and Snowflake. Designed Medallion Architecture and reduced reporting latency by 30%.

Python PySpark SQL Azure Data Factory Data Lake Storage Gen2 Databricks Snowflake ETL ELT Data Modeling

Data Analytics Engineer

Cosmocrat Software Solutions

Aug 2017 - Mar 2020 (2 years 7 months)

Developed ETL pipelines using Python, SQL, AWS Glue, Amazon S3, and PostgreSQL/MySQL. Built scalable data processing workflows and designed interactive dashboards using Power BI, Tableau, and Qlik Sense.