Database Footprint Reduced
Migrated binary storage from PostgreSQL to AWS S3 to cut database size and improve backup efficiency.
I build secure APIs, cloud-native backend systems, and data pipelines that improve latency, reliability, and business visibility.
Results-driven Python Backend Engineer with 1.5+ years of experience designing scalable backend systems, high-performance REST APIs, and automated data platforms. My work spans Flask, FastAPI, PostgreSQL, Apache Airflow, Odoo, and AWS services such as EC2, S3, Athena, Redshift, Lambda, and Secrets Manager. I focus on backend reliability, API security, cloud delivery, and turning operational problems into measurable engineering wins.
Contact MeMigrated binary storage from PostgreSQL to AWS S3 to cut database size and improve backup efficiency.
Re-architected batch workflows into incremental Airflow pipelines for executive BI dashboards.
Tuned indexed query paths, schema validation, and async request flow for analytics APIs.
Added Airflow callbacks, SNS alerts, and more visible pipeline status for quicker incident response.
FastAPI 路 Pydantic v2 路 PostgreSQL
Async analytics API built for low-latency dashboard traffic and production deployment on AWS.
Flask 路 JWT 路 OAuth 2.0 路 Docker
Production-ready task API focused on auth hardening, clean validation, and maintainable endpoint design.
Airflow 路 Athena 路 Redshift 路 Incremental Sync
Config-driven pipeline framework for incremental sync, backfills, alerting, and warehouse delivery.
Flask 路 PostgreSQL 路 Role-Based APIs
Backend service layer for dashboards, filtered reports, and metrics-heavy internal analytics workflows.
PostgreSQL to S3 路 60% DB Shrink
Storage migration initiative that reduced database weight and improved core application performance.
Odoo ORM 路 ULIP/PAN/DL 路 Google Maps
Business workflow automation combining ERP customization with compliance and real-time tracking integrations.
I design backend services with JWT auth, OAuth 2.0, RBAC, rate limiting, clean validation, and explicit error contracts so APIs remain secure and easy to consume.
I build ETL and ELT systems that support incremental sync, backfills, alerting, and analytics warehouse delivery without constant manual intervention.
I treat deployment and infrastructure as part of the product, using Docker, Jenkins, Nginx, SSL, and AWS services to ship backend systems with reliability in mind.