Babita Ratudi

About Babita Ratudi

Data Engineer with 3+ years of hands-on experience in developing and implementing secure, scalable, and efficient data pipelines on leading cloud platforms. My career journey has spanned across healthcare, e-commerce, and fleet management domains, giving me the opportunity to solve real-world business problems through data-driven solutions.My expertise lies in building end-to-end data platforms using Python, PySpark, SQL, Databricks, Azure Data Factory (ADF), and Unity Catalog. I specialize in transforming raw, high-volume, and streaming data into structured, governed, and analytics-ready datasets that empower decision-making across business units.In my current role at UnitedHealth Group, I have worked on building a Marketing Data Platform. This platform helps recommend personalized insurance plans for senior citizens (65+), enabling better healthcare decisions. My responsibilities have included:• Designing and implementing ETL/ELT pipelines for both batch ingestion (using ADF) and real-time streaming ingestion (using Apache Kafka, Azure Event Hubs, and Spark Structured Streaming).• Developing and optimizing large-scale data transformations using PySpark, Python, and SQL on Azure Databricks, reducing processing time and improving pipeline performance.• Architecting Delta Lake Bronze → Silver → Gold layers for structured and scalable data management, implementing SCD Type 2, deduplication logic, and audit frameworks for reliable analytics.• Managing data governance and security with Azure Key Vault and Unity Catalog, ensuring compliance, lineage, and role-based access control (RBAC).• Orchestrating end-to-end data workflows using ADF and Databricks, enabling automation, reusability, and reliability of pipelines.• Setting up CI/CD pipelines with GitHub, Jenkins, Docker, and VS Code, streamlining deployment and version control for enterprise-scale data projects.• Integrating monitoring, logging, and alerting mechanisms using Log4j, Azure Monitor, and MSAL, ensuring proactive detection of pipeline issues.• Collaborating with business, analytics, and data science teams to deliver trusted, model-ready data for dashboards, marketing campaigns, and ML-driven insights.I enjoy mentoring peers, sharing best practices, and continuously exploring new tools to make data systems more efficient. Let’s connect! I am open to exploring Data Engineering roles where I can leverage my expertise to design impactful, cloud-native data solutions that deliver measurable business value.Contact:+91••••••••88 Email: b••••••••@gmail.com

Experience

1. Data Engineer

   WPP Media

   Nov 2025 — Present · Bengaluru, IN

Education

• VG Vaze College of Arts, Science and Commerce

  H.S.C., Science

  2015 — 2017

• KJ Somaiya College of Engineering, Vidyavihar

  B.tech, Electronics and telecommunication

  2018 — 2022