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Python Engineer with 2+ years in ETL Pipelines & REST APIs
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Python Backend Developer and Data Engineer with 2 years of experience building scalable ETL pipelines, REST APIs, and data processing systems. Skilled in Python, SQL, and cloud-based backend solutions, with proven success in optimizing data workflows and reducing processing time by up to 30%. Passionate about designing robust backend architectures and leveraging data for actionable insights.
Dayanand Academy of Management Studies (Affiliated to CSJMU, Kanpur)
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
App Nexus Technology
Software Engineer
January 1, 2025 – Present
Noida, Uttar Pradesh, India
Pando India Software Consultant
Software Developer
April 1, 2024 – December 1, 2024
Noida, Uttar Pradesh, India
SmartApply - AI-Powered Job Tracker & Auto-Alert Assistant
June 24, 2026 – Present
Built an end-to-end ETL pipeline ingesting 120+ job listings daily from 3 external REST APIs (Adzuna, Remotive, Jobicy) using async Python (httpx + asyncio.gather), reducing data fetch time by 66% vs sequential execution. Implemented dual scoring engine combining rule-based algorithm (skill overlap, seniority, title relevance) with TF-IDF cosine similarity (scikit-learn) achieving accurate resume-to-job matching with per-user configurable thresholds. Implemented secure JWT-based authentication with bcrypt password hashing and user-specific preferences (weights, thresholds, email alerts) stored in PostgreSQL (AWS RDS). Deployed production system on AWS EC2 (backend) + Vercel (Next.js frontend) with custom domain, AWS RDS PostgreSQL, APScheduler daily cron, and AWS SES transactional email alerts.
Cultural Fit Analysis
The candidate's experience includes both backend development with Python/FastAPI and Android development with Java. The personal project 'SmartApply' demonstrates initiative, a full-stack perspective (backend, ML, deployment, frontend integration), and a drive to build practical solutions. This diversity of experience and self-driven project work suggests a proactive and adaptable individual who could fit well into a dynamic team. However, the overall experience level is relatively junior (2 years), which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, suggesting good problem-solving and project management skills. The focus on optimizing data workflows and reducing processing time points to an operational mindset. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.