Chetan Neti

Background

About Chetan Neti

With over 9+ years of hands-on experience as an ETL Cloud Developer, I specialize in architecting and implementing scalable, generic solutions on Azure Databricks. In my current role, I partner closely with clients to understand their business requirements and translate them into robust data pipelines using PySpark, Spark SQL, and Python. I’ve led the design and delivery of end-to-end data warehouse projects from requirements gathering and solution architecture through development, testing, and deployment—leveraging the full Azure ecosystem (Databricks, Synapse Analytics, Data Factory, and related services) as well as Google Cloud technologies (BigQuery, Data Fusion, Cloud Composer, and more).My core strengths include: • Designing modular, reusable data vault frameworks and dynamic ETL patterns that accommodate evolving business needs • Developing complex transformations and data models in Databricks, ensuring high performance and maintainability • Implementing CI/CD pipelines, version control, and configuration-driven approaches to streamline deploymentsI’m passionate about data and analytics, and I thrive on solving complex challenges through clean, efficient code. Whether it’s optimizing ETL jobs, architecting a data platform for scale, or mentoring team members on best practices, I bring a client-focused mindset and deep technical expertise to every engagement.