Backend Data Engineer
I'm a Backend Data Engineer with over 3.6 years at Infosys, where I've architected and implemented an end-to-end ETL pipeline using PySpark, successfully processing raw CSV data from AWS S3 into a SQL data warehouse. I've led the development of a Virtual Manufacturing Execution System, a project I'm particularly proud of, which significantly enhanced operational efficiency. I'm now expanding my expertise in API development with Flask, aiming to integrate robust backend solutions into cutting-edge applications.
Developed a scalable data-driven backend for the Product Foundation team, responsible for tracking hardware components and product data using Flask, Python, MS SQL, and PySpark. The system automates the ingestion of manufacturing datasets and provides a robust API layer to execute complex business logic for real-time tracking and reporting.
Engineered an automated data orchestration layer for 'TnQ Genie,' a Webex-integrated bot that streamlines data access for Cisco’s Virtual Manufacturing Execution System using Python, Flask, Adaptive Card design, and MS SQL.
Developed the backend data infrastructure for the FRAP maintenance enhancement project, an advanced analytics system designed to predict hardware failure rates using Python, Flask, RESTful APIs, and SQL.
October 2022 – Present
Working as a Technology Analyst with responsibilities including developing APIs using Flask, architecting ETL pipelines with PySpark, and managing data in SQL databases. Collaborated with cross-functional teams and maintained code quality through peer reviews and version control.
B.Tech - Bachelor of Technology in Computer Science and Engineering •
Interested in collaboration or just want to say hello? Feel free to reach out!