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Rajni J. — Junior Data Engineer from India

Rajni J.

Junior Data Engineer

India Less than 1 year
Open to offersNew to Platform
Languages
EnglishHindi
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About

Rajni J. is a skilled Associate Data Engineer based in Kolkata, West Bengal, with a focus on implementing advanced data engineering solutions in the tech industry. During her tenure at v4c.ai, Rajni effectively utilized Databricks, employing lakehouse and medallion architectures to enhance data processing and transformation workflows. Her expertise extends to Azure integration, where she successfully configured storage accounts for cloud processing. Rajni played a pivotal role in the development of an Aviation Analytics Data Platform, managing over 24 million flight records. This project utilized advanced pipeline technologies like Delta Live Tables and featured robust data governance with Unity Catalog for secure analytics. Her academic foundation is a Bachelor of Technology in Computer Science and Engineering from Netaji Subhash Engineering College, further complemented by certifications in AI Agent Fundamentals and Data Science. Proficient in programming with Python and SQL, Rajni is an adept user of Azure, Apache Spark, and various database systems including SQLite and MongoDB Atlas.

Experience

  • Associate Data Engineer

    v4c.ai · 2025 — 2026
    Executed lakehouse architecture utilizing Delta Lake and Delta logs for data processing. Developed medallion architecture featuring bronze, silver, and gold layers to optimize data transformation workflows. Employed various data ingestion techniques in Databricks, such as Auto Loader and DLT pipelines. Configured Azure storage accounts for enhanced compatibility with Databricks, facilitating cloud-based processing. Collaborated with data engineers, analysts, and scientists while gaining practical experience with Databricks. Established foundational knowledge in cloud data engineering and modern pipeline development for scalable data solutions.

  • Project

    Aviation Analytics Data Platform
    Architected and executed an end-to-end Databricks Lakehouse solution for processing over 24 million flight records, utilizing Medallion Architecture for effective data engineering workflows. Constructed automated ingestion pipelines with Delta Live Tables, Auto Loader, and COPY INTO for optimized batch and streaming data processing, incorporating schema evolution and data quality validation. Designed a Star Schema data model with both fact and dimension tables, implementing SCD Type 2 for historical data tracking and enhancing query performance using Liquid Clustering, Z-Ordering, and Delta Lake functionalities. Enforced enterprise-level data governance and security with Unity Catalog, encompassing Row-Level Security, Column-Level Security, data masking, metadata management, and data quality testing for secure analytics.

  • Project

    Employee Performance Analytics System
    Created a full-stack Employee Performance Tracking System employing Python with a hybrid SQL and NoSQL architecture. Designed data models in SQLite and MongoDB Atlas to manage structured and semi-structured employee data. Implemented ETL and reporting workflows leveraging Pandas and developed Streamlit dashboards for performance analytics. Ensured application reliability through automated testing with Pytest.

Skills & Expertise

Azure DataAI EngineerPython DeveloperData EngineeringPersonal AssistantData EngineerAzure Databricks

Education

  • Bachelor of Technology in Computer Science and Engineering
    Netaji Subhash Engineering College · — — 2025
  • Higher Secondary Education
    Balika Siksha Sadan · — — 2020