Jahnavi V

About Jahnavi V

As a data engineer with over 9 years of hands-on experience, I’ve built my career on solving complex data challenges across industries like telecom, finance, and healthcare. My expertise lies in designing, developing, and maintaining end-to-end data solutions that enable reliable reporting, predictive analytics, and regulatory compliance. I specialize in building modern data platforms using Azure, AWS, Snowflake, Databricks, Apache Spark, Kafka, and Power BI, and I love creating scalable, secure, and insightful systems that help teams make faster, data-driven decisions.Over the years, I’ve architected large-scale data pipelines that handle both batch and real-time processing. I’ve used Azure Data Factory, Apache Airflow, and AWS Glue to orchestrate ETL and ELT workflows across cloud and hybrid infrastructures. I’ve also developed Spark-based ETL jobs using PySpark and Scala to process weekly volumes of 10+ TB, integrating data from legacy systems like Oracle and Teradata into cloud warehouses like Snowflake and Redshift.Collaborating closely with compliance and engineering teams, I’ve ensured data lineage, accuracy, and lifecycle completeness from source to submission. I’ve created exception handling workflows, validation layers, UAT test cases, and KPI dashboards using SQL, Power BI, and Excel, helping businesses meet stringent reporting deadlines with confidence.My strengths also include data modeling (both normalized and dimensional), implementing SCD Type 2 logic, designing semantic models for business intelligence (BI) teams, and automating data refreshes through continuous integration/continuous deployment (CI/CD) pipelines using tools such as Git, Jenkins, and Azure DevOps. I’ve worked extensively with stakeholders to translate business requirements into reusable data solutions, ensuring technical soundness, compliance alignment, and maintainability.Throughout my journey, I’ve maintained a strong commitment to collaboration, documentation, and continuous improvement. I believe great data engineering isn’t just about moving data—it’s about building systems that scale, adapt, and serve real business needs. I enjoy mentoring junior team members, creating onboarding guides, and writing SOPs and architecture diagrams using tools like Confluence, Visio, and Lucidchart to ensure knowledge continuity. I\'m always open to discussing exciting challenges, new technologies, and how we can use data to drive meaningful change.

Experience

1. Senior Data Engineer

   T-Mobile

   May 2024 — Present · GA, US

Education

• BV Raju Institute of Technology (BVRIT)

  Bachelor of Technology - BTech

• New York Institute of Technology

  Master's degree, Computer and Information Sciences