Hi, I’m Sakshi Vats, a backend-focused software engineer with 6+ years of experience building RESTful APIs, serverless backends, and data pipelines for fintech products. I enjoy turning complex requirements into scalable, reliable solutions in Agile environments with CI/CD practices. I’m proficient with SQL and NoSQL databases, AWS (Lambda, S3, DynamoDB, CloudWatch), Node.js, Express.js, and C#.NET, and I thrive on collaborating with teammates to improve code quality, reduce bugs, and deliver measurable business value.

Sakshi Vats

Hi, I’m Sakshi Vats, a backend-focused software engineer with 6+ years of experience building RESTful APIs, serverless backends, and data pipelines for fintech products. I enjoy turning complex requirements into scalable, reliable solutions in Agile environments with CI/CD practices. I’m proficient with SQL and NoSQL databases, AWS (Lambda, S3, DynamoDB, CloudWatch), Node.js, Express.js, and C#.NET, and I thrive on collaborating with teammates to improve code quality, reduce bugs, and deliver measurable business value.

Available to hire

Hi, I’m Sakshi Vats, a backend-focused software engineer with 6+ years of experience building RESTful APIs, serverless backends, and data pipelines for fintech products. I enjoy turning complex requirements into scalable, reliable solutions in Agile environments with CI/CD practices.

I’m proficient with SQL and NoSQL databases, AWS (Lambda, S3, DynamoDB, CloudWatch), Node.js, Express.js, and C#.NET, and I thrive on collaborating with teammates to improve code quality, reduce bugs, and deliver measurable business value.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Software Engineer at Morningstar India Pvt. Ltd.
January 1, 2021 - May 1, 2025
As a Software Engineer, contributed to backend systems for investment insights and financial services. Built a backend reporting system to monitor performance, enabling proactive issue detection and reducing potential bugs by 25%. Designed and maintained Node.js/Express-based services for financial data used by front-end applications and reporting systems. Optimized SQL workflows, implemented data archiving/cleanup, and improved query performance by 30%. Created reusable libraries and enhanced existing codebases to cut development time by 15%. Improved code quality through regular reviews and collaboration, reducing bugs and ad hoc tickets by 25%. Optimized SQL stored procedures, cutting query time by 20% and reducing potential bugs by 30%. Implemented automated C# data integration from MS SQL Server to PostgreSQL for reliable Power BI datasets. Resolved backend production issues across multiple applications and migrated serverless components using AWS Lambda and SQS.
Associate Software Engineer at Morningstar India Pvt. Ltd.
August 1, 2020 - January 31, 2021
Debugged .NET applications and SQL stored procedures to address issues and maintain business productivity. Collaborated with senior engineers to develop reports, reducing internal requests and providing project managers with regular data insights. Effectively managed and reviewed SQL DML scripts and stored procedures to meet client requirements.
Associate Software Engineer (Implementation) at AdvisorLogic Pvt. Ltd.
July 1, 2018 - August 1, 2020
Collaborated with product teams to gather requirements for automated financial documents. Tested documents for design and data retrieval errors to reduce future customer concerns by 50%. Developed functional documents for AdvisorLogic CRM describing module functionality and stored them on Confluence, decreasing internal communications by 30%.

Education

Bachelor of Technology at Bhawan Parshuram Institute of Technology, IP University, New Delhi
January 1, 2014 - January 1, 2018

Qualifications

Node.js Certification Training
January 11, 2030 - March 12, 2026
AWS Certified Cloud Practitioner
January 11, 2030 - March 12, 2026

Industry Experience

Financial Services, Software & Internet

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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