Software Engineer
- Location
- United States
- Rate, USD
- $25 / hour
- Work schedule
- Full Time, Internship,
- Language skills
- English, Hindi
- Available for Hire
- Yes
About me
• Computer Science Graduate Student at California State Fullerton, studying Advanced Database, Cloud Security and Software Development courses.
• Solution-focused middleware engineer with 4 years of prior experience in developing ETL pipelines and Web Apps.
• Extensive experience in using cloud services, relational databases, and backend frameworks. Two years of experience in leading diverse teams throughout all phases of the SDLC and building applications for pharmaceutical companies.
Professional area
Education
- Aug 2023 - May 2025 Masters in Computer Science @ California State University, Fullerton
- June 2015 - May 2019 Bachelors of Technology, Information Technology @ SRM Institute of Science and Technology
Experience
- Nov 2021- Aug 2023 Associate IT Consultant @ ITC Infotech
• Engineered REST Web Services utilizing Azure Functions and Flask.
• Led a cross-functional team of developers in backend and data engineering for application development.
• Formulated a database model for capturing product relationships and version history.
• Implemented Kafka producer and consumer scripts, facilitating the handling of 1000+ live stream data requests.
• Architected data factory pipelines for seamless data movement across different database layers for reporting.
• Integrated Single Sign-On (SSO) authentication into the web application using Azure OAuth2 services.
• Managed and developed services orchestrating Spark jobs on AWS EMR, providing EMR step details for execution.- Jul 2019- Nov 2021 Software Engineers @ L&T Technology Services
• Engineered Python scripts, leveraging organizational knowledge and an NLP-based platform for data extraction automation, achieving a 70% accuracy rate, and saving 25 hours of manual work weekly.
• Redesigned and organized client data in MongoDB, enhancing data structure and accessibility.
• Developed and maintained a scalable Data Lake Architecture, accommodating 50M+ structured and unstructured records weekly.
• Implemented ETL processes for seamless data transfer from source files and databases to analytical tools.
• Automated tabular data extraction in PDFs using Tableau library, exporting it to a predefined report format, reducing manual data entry processes by 40%.
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