Harshitha Narendula

Background

About Harshitha Narendula

Senior Data Engineer with 5+ years of experience building and supporting scalable data pipelines, analytics platforms, and reporting solutions across cloud environments. My work focuses on turning raw operational and business data into reliable, analytics-ready datasets using SQL, Python, Spark, and modern cloud data platforms.Worked across the full data lifecycle—from ingestion and transformation to modeling and visualization—using technologies such as Azure Data Factory, Azure Databricks, Azure Synapse, ADLS Gen2, and Power BI, along with big data ecosystems like Hadoop and Spark. I enjoy designing dimensional models, building standardized transformation layers, and implementing data quality frameworks that make analytics trustworthy and repeatable.In the current role, I focus on architecting and owning analytics pipelines, improving data reliability, and partnering closely with engineering, finance, and business teams to deliver meaningful insights. I’m known for taking ownership, doing deep dives when data breaks, and building solutions that scale with the business.Passionate about building data platforms that are not just functional, but dependable, well-modeled, and easy for teams to use—and I’m always excited to collaborate on problems at the intersection of data, analytics, and cloud engineering.