Pooja Pal

Python Developer

Valsad, India

Summary

I’m a Python Developer with 4.5 years of experience in building and optimizing scalable backend systems
using Django, Flask, and cloud platforms (AWS, GCP). Proven track record in delivering high-performance
applications for recruitment automation, cloud monitoring, payment gateway integrations, educational
content processing, and data quality management. Skilled in API design, workflow automation, large-scale
data handling, and performance tuning, with expertise in integrating third-party services, implementing
background jobs, and managing structured data storage to enhance operational efficiency and user
experience.

Languages:

English, Gujarati, Hindi

Experience

IT Idol Technologies

2023 - Present

Python Developer • Full-time

Valsad, Gujarat

Teachmint – Content Upload

• Developed Python scripts for video watermarking, thumbnail generation, and automated uploading of

raw videos to Google Cloud Platform.

• Designed a structured JSON-based folder hierarchy for organizing educational content.

• Utilized MongoDB to store class, topic, and assessment documents.

• Automated package creation workflows with GitHub Actions for efficiency.

• Built a Django application to process and optimize content storage, improving mobile app access to tests

and homework.

Teachmint – Payment Gateway APIs

• Integrated multiple payment gateways for global regions, including Click, EasyPay, JusPay, M-Pesa, N

Genius, Paystack, Paytm, and QuickBooks.

• Enabled seamless payment processing and ledger management for diverse markets.

• Developed secure Flask-based APIs, ensuring smooth integration with client systems.

Teachmint – TFI Module

• Built a financial and operational management tool with flexible bulk and individual fee structuring.

• Implemented automation for due calculations, discount/fine tracking, wallet entries, instalment plans, and

receipt generation.

• Added reporting features for fees, attendance, and transportation logistics.

• Designed a secure bug-handling mechanism to prevent vulnerabilities and maintain system integrity.

• Integrated Kafka-based event handling for real-time updates.

SusLab Data Tool

• Developed a Django-based data quality platform enabling full pipeline execution, file management, and

QA workflows.

• Implemented Docker-based dynamic triggers for company-specific pipelines.

• Managed AWS S3 operations, including upload, download, delete, and PDF searchability checks across

multiple buckets.

• Built tools for data inquiry, outlier detection & visualization, missing value analysis, and regression

comparisons.

• Created a rule-based QA module with editable dashboards and complete version history for audit trails.

• Developed a task assignment system with deadlines, role-based access control, and global lockout to

maintain workflow integrity.

• Added admin utilities for Docker image syncing, QA metadata reloads, and source data management.

SecureMetaSys Infotech Pvt. Ltd.

2021 - 2023

Python Developer • Full-time

Surat, Gujarat

URL Scanner

• Developed automated workflows to scan and analyze submitted URLs by simulating real-user browsing.

• Captured and logged network activity, including contacted domains, IP addresses, and requested

resources (JavaScript, CSS, etc.).

• Implemented page metadata extraction — DOM content, JavaScript variables, cookies, and page

screenshots.

• Designed structured output for storing scan results for further analysis and reporting.

SOMA – Recruitment Admin Panel

• Built modules to process and validate bulk lead data uploaded via CSV/Excel for multiple organizations

and job profiles.

• Integrated background cron jobs to verify email and phone number authenticity.

• Automated email and SMS communication to valid leads for job opportunities.

• Developed a lead management dashboard with filtering and status tracking for recruiters.

CMS – Cloud Monitoring System

• Created modules to monitor server health metrics, including CPU, memory, disk, network, I/O, and

processes.

• Implemented automated alerts and reports for performance thresholds.

• Supported capacity planning by tracking long-term resource utilization trends.

• Enhanced monitoring system to detect downtime, response delays, and potential performance

bottlenecks.

Skills

Amazon Web Services (AWS), Celery, Django, Django REST Framework, FastAPI, Flask, Git, Linux, Matplotlib, MongoDB, MySQL, PostgreSQL, SQLAlchemy, Selenium, Web Scraping