Nivetha J

Career Summary

I am a data engineering and analytics leader with 12+ years of experience building production-grade data pipelines, cloud data warehouse platforms, and enterprise BI solutions across healthcare, pharma, and commercial analytics. Currently Associate Director — Data & AI at Syneos Health, a global CRO, where I lead a 24-member cross-functional team of engineers and analysts delivering analytics platforms for 10+ global pharma clients.

What I Build

My core work is end-to-end data platform engineering — designing ETL/ELT pipelines on Snowflake and AWS, building star schema data models with dbt, and delivering Power BI and Streamlit dashboards that reach C-suite stakeholders. I work daily with PySpark, Scala, Python, SQL, and Snowflake Cortex AI. I have shipped a natural language querying interface and automated data summary workflows using Cortex AI into production — reducing analyst dependency on engineering for ad hoc data requests.

Measurable Impact

• 50% reduction in development timelines through a unified Snowflake star schema architecture supporting multi-client onboarding with zero rework

• 40% improvement in Power BI dashboard performance through BI redesign and query optimisation

• 30% reduction in recurring defects through quarterly root cause review processes

• Zero mock-data rework through Streamlit + Cortex AI real-data prototyping before production builds