Vedant Bajpai

Vedant Bajpai

Followers of Vedant Bajpai637 followers
location of Vedant BajpaiPune, Maharashtra, India

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  • Timeline

  • About me

    Senior Engineer @ NTT Data | Backend Developer | Python | NodeJs | MuleSoft

  • Education

    • Rajiv Gandhi Prodyogiki Vishwavidyalaya

      2016 - 2020
      Bachelor of Engineering - BE Computer Science
  • Experience

    • Newgen Software

      Jan 2020 - Dec 2021

      1.Designed and developed RESTful web services for banking and insurance clients, boosting sales by 50% through seamless integration.2.Automated data processing workflows and created optimized SQL queries, stored procedures, and triggers for efficient data management and reporting.3.Enhanced backend systems using Java (Spring Boot) and JavaScript and optimized database schemas, improving application performance and scalability4.Managed on-premises infrastructure for reliable performance while directly collaborating with clients to understand and address domain-specific requirements. Show less

      • Software Engineer

        Sept 2020 - Dec 2021
      • Intern

        Jan 2020 - Aug 2020
    • Apisero Inc.

      Dec 2021 - Jul 2023
      Senior Software Engineer

      1.Developed and integrated internal applications and scripts leveraging Python (FAST APIs) and Node.js to automate company processes, achieving 100% automation2.Optimized data transformation workflows by leveraging PySpark's SQL API and DataFrame operations, reducing processing time by 30%.3.Enhanced system reliability and performance by managing data flow and integrating AWS services, including S3, Lambda, to ensure scalable and cost-effective solutions4.Designed and implemented ETL pipelines for data extraction, transformation, and loading using PySpark, enabling efficient processing of large datasets across distributed systems. Show less

    • NTT DATA

      Jul 2023 - now
      Senior Engineer

      1.Developed secure, robust, and reliable Python applications using FastAPI and RESTful APIs for seamless data integration.2.Designed and managed data transformation pipelines leveraging Azure Databricks and PySpark, enabling efficient processing of large-scale datasets.3.Built and optimized ETL workflows on Azure Databricks, leveraging advanced PySpark capabilities to process complex datasets, improving data quality, and reducing processing time by 25%4.Utilized Azure portal to efficiently deploy and monitor applications, facilitating swift bug resolution.5.Led a team in achieving 90%+ code coverage through Python unit tests with pytest configuration and test case development.6.Implemented a CI/CD pipeline with automated testing to ensure high-quality code and early bug detection. Show less

  • Licenses & Certifications