Crafting production-grade ETL pipelines, analytics platforms, and AI-powered automation — battle-tested in fintech and deployed on live servers.
I'm a Data Analyst and Python Developer at E Revbay (Fintech) — a company building financial data products. I own the full data lifecycle from raw API ingestion to polished dashboards running in production.
My toolbox spans ETL engineering, FastAPI/Flask backends, AI/LLM integrations (LangChain, Gemini, Groq), and Linux server operations — with 15+ services running on a production Ubuntu server I personally manage.
Production-proven skills across data engineering, backend development, AI integration, and DevOps.
Production-deployed, real-world systems — not just side projects.
Operational intelligence platform for fintech analytics. FastAPI backend with PostgreSQL, LangChain AI integration, Apache Airflow ETL pipelines, and a React + TypeScript frontend.
Generalized async ETL framework with glassmorphism NiceGUI. Celery + Redis worker queues for long-running jobs. Docker containerized with preset-based pipeline configurations.
Playwright browser automation + Groq LLM for structured field extraction from dynamic sites. Streamlit UI with automatic Google Sheets sync for team output.
Multi-account webhook ingestion with intelligent source routing (CPL, TMC Dubai, Q). AWS S3 file archival, MySQL persistence, async background processing.
Full WhatsApp Business CRM for sales operations — chat processing, session management, media storage, role-based access via DoubleTick/Meta Business API.
Auto-discovers jobs via APIs, scores them with Gemini AI, tailors resumes per role using LLM, and tracks all applications in a live FastAPI dashboard.
Open to Data Analyst, Python Developer, and Data Engineer roles.
Remote preferred · 30-day notice · Available for interviews now.