MallaReddy Rao

Designing and implementing scalable and efficient Python-based backend systems, adhering to best practices and industry standards. Collaborating closely with cross-functional teams, including frontend developers, and product managers, to deliver high-quality software solutions. Developing and optimizing RESTful APIs developed in DRF to facilitate seamless communication between the frontend and backend components of the applications. Writing clean, well-documented, and robust code, ensuring code quality through code reviews and unit testing. Troubleshooting and debugging complex issues in production environments, identifying root causes and implementing timely resolutions.

Designed and Developed an ETL Data Pipeline from scratch for two projects & three projects of web-scraping. Led 4 members of the team and provided technical solutions and guidance. Managed and maintained the file loading pipeline built on Python 3.9 backed up by PostgreSQL and AWS Redshift. Improved the performance of file processing from 75 million records per day to 75 million in 2 hours. Provided parallel file processing ability to the extent possible using the new framework. Provided support for solving and optimizing complex SQL queries. A key contributor to various new technical and architectural designs in the file-loading pipeline. Designed and Developed Web-Scraping Project using Selenium, BS4, Python, and Pandas Module. Monitored and Created Dashboards of all inflow data in AWS QuickSight Using Redshift as a data source. Achievements include promotion as Associate Software Engineer, updating existing ETLs, and designing web-scraping scripts with 98% accuracy.