
Vedant Bajpai

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About me
Senior Engineer @ NTT Data | Backend Developer | Python | NodeJs | MuleSoft
Education

Rajiv Gandhi Prodyogiki Vishwavidyalaya
2016 - 2020Bachelor of Engineering - BE Computer Science
Experience

Newgen Software
Jan 2020 - Dec 20211.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 2021Intern
Jan 2020 - Aug 2020

Apisero Inc.
Dec 2021 - Jul 2023Senior Software Engineer1.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 - nowSenior Engineer1.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
- View certificate

Data Analyst Capstone Project
CourseraMay 2021 - View certificate

Coursera
IBMMay 2021 - View certificate

Data analysis by python
CourseraApr 2021
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