About Me
Backend Software Engineer focused on automation, API integrations, and scalable systems. I design backend services with Python, Node.js, SQL, and cloud APIs to connect fragmented business platforms into reliable operational workflows.
My recent work includes backend platforms supporting 8K-12K daily transactions, automation flows that removed ~3 hours/day of manual reporting per analyst, ETL pipelines that cut processing time by ~40%, and API optimizations that improved response times by 35-40%.
I operate across architecture, implementation, and systems governance to turn finance, operations, and reporting bottlenecks into measurable backend systems with real-world usage.
Experience Across Enterprise Operations & Integration Environments
Professional Experience in Backend Engineering & Automation
- Designed internal backend systems with Python and PostgreSQL to support 8K-12K daily transactions across operational workflows.
- Architected GitHub Actions and API-driven automations that eliminated ~3 hours/day of manual financial reporting per analyst.
- Built ETL pipelines across Google Cloud, Zoho, and third-party services, reducing data processing time by ~40%.
- Delivered real-time dashboards, custom filters, and backend governance standards for multiple internal systems.
- Developed REST integrations in Python and Node.js across 6+ core business systems spanning Google Cloud, Zoho, and external services.
- Automated data extraction and enrichment workflows, reducing manual input and improving data accuracy in operational systems.
- Applied caching and async processing to backend services, improving API response times by 35-40%.
- Maintained AWS S3 and Lambda processes while enforcing backend rules for discounts, validations, and operational constraints.
- Implemented 20+ automated workflows and business rules with Python and Deluge to reduce repetitive operational work.
- Built reporting pipelines and data structures for real-time operational tracking and compliance visibility.
- Developed validated processing flows that improved reporting quality and execution consistency.
- Designed API-first integration architecture across 4+ platforms using AWS, Google Cloud, Zoho, and external services.
- Automated financial and operational workflows, replacing spreadsheet-driven reporting with backend automation.
- Built centralized dashboards and data pipelines for real-time business monitoring.
- Defined authentication patterns, integration standards, and data-flow governance for external services.
- Developed backend communication layers and Python REST integrations to improve data reliability across multiple systems.
- Tested and debugged 15+ integration endpoints, removing critical automation bottlenecks.
- Supported AWS EC2 and RDS infrastructure backing distributed backend services.
- Developed 25+ Python automation tools for administrative and inventory processes, saving 30-35 hours per week.
- Designed internal systems for inventory control, product tracking, and delivery management on local servers with cloud backup.
- Maintained operational systems to preserve data accuracy and compliance across day-to-day operations.
- Built and maintained internal web tools and the company website with HTML, CSS, and JavaScript.