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Anup Ingale

@anuingale

Senior Python full-stack developer building data-centric backend systems, automation, and BI solutions with measurable performance gains.

India

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What I'm looking for

I’m looking for a role where I can build scalable Python backends and full-stack features for data-driven products—using automation, CI/CD, and cloud platforms—to deliver measurable performance, reliability, and secure development.

I’m a detail-oriented Senior Python Full Stack Developer with 5+ years of experience building data-centric software solutions that turn data into business intelligence, automation, and dependable products.

At VOIS, I design and develop scalable backend systems and custom data scraping solutions that drive BI and automation. I improved system performance by optimizing Celery queues and PostgreSQL queries, reducing response times by 35%, and I cut deployment time by 80% using Docker with GitHub Actions CI/CD.

I’ve continued to deliver measurable results at Famepilot Internet Pvt Ltd and Diquery Digital LLP—optimizing Celery task queues and PostgreSQL for up to 35% faster responses, while strengthening reliability through CI/CD automation and agile cross-team collaboration. Earlier, at AlgoSoftwares Pvt Ltd, I built high-performance scraping pipelines with Selenium, Scrapy, and Boto3 on AWS S3, improving reliability to 99.9% and reducing data retrieval time by 30%.

Beyond core development, I build solutions end-to-end—RESTful APIs, integrations, and secure implementations—and I care deeply about coding standards and security practices. In projects like a regional news portal (Lighthouse 90+), I integrated social sharing and Google News features using AI techniques to boost engagement, and I developed a real-estate insights platform with Django and AI/ML recommendations to increase user engagement by 40%.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

Vois India Pvt Ltd

Jun 2025 - Present (1 year)

Designed and developed scalable backend systems and custom data-scraping solutions to drive business intelligence and automation. Improved system performance by optimizing Celery queues and PostgreSQL queries, reducing response times by 35%, and cut deployment time by 80% using Docker and GitHub Actions CI/CD pipelines.

Python Celery PostgreSQL Data Scraping Docker GitHub Actions CI CD Performance Optimization Automation SQL

Software Developer

Famepilot Internet Pvt Ltd

Jun 2023 - Jun 2025 (2 years)

Optimized Celery task queues and PostgreSQL queries to improve response times by up to 35%. Automated CI/CD with Docker and GitHub Actions, reducing deployment time by 80%, and collaborated across teams across three time zones to deliver sprints on time with under 3% bug backlog.

Python Celery PostgreSQL Docker GitHub Actions CI CD Performance Tuning Agile Troubleshooting SQL

Software Engineer

Diquery Digital LLP

Jan 2021 - Jul 2023 (2 years 6 months)

Delivered 15+ data scraping and automation scripts for platforms like Amazon and Flipkart, using Python and cloud technologies. Built reusable frameworks that reduced new script development time by ~70% and used PostgreSQL to manage scraped data for clean, exportable reports.

Python Data Scraping Automation PostgreSQL Cloud Technologies Framework Debugging Reliability Engineering Security Compliance Agile

Associate Software Developer

Algo Software Pvt Ltd

Apr 2020 - Jan 2021 (9 months)

Developed high-performance data scraping tools for financial data aggregation using Selenium, Scrapy, and Boto3 with AWS S3 storage. Converted ad-hoc scripts into a modular pipeline with retry mechanisms, improving reliability to 99.9%, and reduced data retrieval time by 30%.

Python Selenium Scrapy AWS S3 Data Pipelines Reliability Engineering Performance Optimization Automation Retry

Software Trainee

Redbytes Softwares

Aug 2019 - Apr 2020 (8 months)

Contributed to an online assessments system for campus hiring, automating candidate shortlisting and result processing, reducing evaluation time from 3 days to under 4 hours. Improved QA outcomes by reducing bug counts by 40% through early-stage testing and code reviews, and decreased post-deployment issues by 40%.

Software Testing Code Review Automation Debugging CI CD Problem Solving Agile