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https://github.com/shaikhsajid1111/portfolio


https://github.com/shaikhsajid1111/portfolio

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README

          

# Software Engineer (Full-Stack & Data Engineering)

## Skills

**Programming Languages:** Python, JavaScript, Java, TypeScript, SQL, C, C++, PHP, Golang

**Cloud Platform:** AWS (Amazon Web Services), GCP (Google Cloud Platform)

**Data Engineering:** Apache Airflow, Apache Kafka, Apache Spark, Pandas, Numpy

**Front-End Development:** HTML, CSS, React, Bootstrap, jQuery, SASS

**Backend Development:** Node.js, Express, FastAPI, Django, Flask

**Databases:** Mongo, MySQL, Redis

**DevOps & Tools:** Linux, Git, Docker

**Automation & Web Scraping:** Selenium, Puppeteer


## Education


Mumbai University
Bachelors of Science in Information Technology | University Of Mumbai (July 2019 - May 2022)


## Work Experience


Findem Logo
Software Engineer | Findem Inc. (May 2022 - Present)

- Collaborate with the global Data Engineering and Science team to drive innovation and operational excellence in a People Intelligence Platform powered by AI and big data.
- Contribute to building and scaling backend services, data pipelines, and workflows to ensure high-quality data acquisition, processing, and democratisation.
- Play an active role in data strategy implementation, including designing and optimising ETL/ELT pipelines, enabling self-service data access, and supporting data lake architecture.
- Collaborate with cross-functional teams to ensure data quality, observability, and efficient workflow management.
- Partner with vendors, data providers, and technology solution teams to integrate external datasets and tools into the platform's architecture.

**Skills Used:** Apache Airflow, Docker, AWS, GCP, MongoDB, Express, TypeScript, JavaScript, Python, Flask, Git, Selenium, Puppeteer



Findem Logo
Data Engineering Intern | Findem Inc. (May 2021 - May 2022)

- Collaborated with the Data Engineering and Science team to enhance the People Intelligence Platform, gaining hands-on experience with real-world data systems.
- Supported the development and optimization of data pipelines for processing large-scale datasets, ensuring data quality and consistency.
- Gained experience in tools and technologies such as Python, Puppeteer, and Big Data frameworks to handle complex data workflows.
- Conducted data cleaning, transformation, and exploratory analysis to improve data usability and quality.

**Skills Used:** GCP, JavaScript, Python, Git, Selenium, Puppeteer



Empty Logo
Full-Stack Developer | NiTech (July 2020 - May 2021)

- Designed, developed, and maintained the data pipeline of a web application, integrating multiple data sources with the backend powered by PHP's Laravel.
- Used Python's Selenium to scrape and extract data from various web sources, and implemented data cleaning, correlation, and merging algorithms to ensure high data quality.
- Deployed the data pipeline on a Linux server for a client based in Montenegro, ensuring smooth data transfer and seamless integration with existing systems.

**Skills Used:** Linux, MySQL, PHP, Python, Git, Selenium, React



Lantern Edusport Foundation Logo
Program Manager Intern | Lantern Edusport Foundation (May 2020 - July 2020)

Lantern Edusport Foundation – A nonprofit organization dedicated to promoting education and sports among underserved communities.

- Coordinated the distribution of learning materials and assigned tasks to students, adhering to a structured monthly calendar to ensure smooth program execution.
- Assessed student submissions to identify areas for improvement and provided constructive feedback to support their academic and personal development.
- Fostered open and transparent communication by actively engaging with students, addressing queries, and building a supportive learning environment.
- Prepared and delivered accurate and timely reports to stakeholders, tracking progress and milestones throughout the program.
- Conducted risk analysis for program activities, proactively identifying potential challenges and collaborating with the core team to implement effective solutions.

**Skills Used:** Teaching, Communication, Problem Solving


## Projects

### Social Media Profile Scraper
[![Project Link](https://img.shields.io/badge/Project-Link-blue)](https://github.com/shaikhsajid1111/social-media-profile-scrapers)
![GitHub Repo stars of Social Media Profile Scrapers](https://img.shields.io/github/stars/shaikhsajid1111/social-media-profile-scrapers?style=social)

Get social media's public profile data using scripts provided in this project. Contains scripts for Facebook, Instagram, Twitter, GitHub, Medium, and Pinterest. It uses python's selenium framework.

**Technologies**: Python, Selenium and Requests.

![Social Media Scraper](/assets/social-media-scraperjpeg.jpeg)


### Twitter Scraper Selenium
[![Project Link of Twitter Scraper Selenium](https://img.shields.io/badge/Project-Link-blue)](https://github.com/shaikhsajid1111/twitter-scraper-selenium)
![GitHub Repo stars of Twitter Scraper Selenium](https://img.shields.io/github/stars/shaikhsajid1111/twitter-scraper-selenium?style=social)
[![PyPI version of Twitter Scraper Selenium](https://badge.fury.io/py/twitter-scraper-selenium.svg)](https://badge.fury.io/py/twitter-scraper-selenium)

Twitter scraper is a maintained python library to scrape data from Twitter profiles, keywords, or hashtags.
- User can get the data in JSON format or even the CSV format.
- It is a headless mode browser automation.
- It is available on PyPi as well.

**Technologies**: Python, Selenium and Requests.

![Twitter Scraper Selenium](/assets/twitter-scraper.jpeg)


### Facebook Page Scraper
[![Project Link of Facebook Page Scraper](https://img.shields.io/badge/Project-Link-blue)](https://github.com/shaikhsajid1111/facebook_page_scraper)
![GitHub Repo stars of Facebook Page Scraper](https://img.shields.io/github/stars/shaikhsajid1111/facebook_page_scraper?style=social)
[![PyPI version of Facebook Page Scraper](https://badge.fury.io/py/facebook_page_scraper.svg)](https://badge.fury.io/py/facebook_page_scraper)

Facebook Page scraper is maintained python library to extract post's data from the Facebook page's front end.
- Extract data without getting blocked even a single time, no problem with getting your IP blocked.
- Post's data can be extracted in form of JSON as well as CSV files very easily.
- Made with Python, simple to import and install via pip

**Technologies**: Python, Selenium and Requests.

![Facebook Scraper](/assets/fb_scraper.jpeg)


### Enquit
[![Project Link c](https://img.shields.io/badge/Project-Link-blue)](https://github.com/shaikhsajid1111/enquit)
![GitHub Repo stars of Enquit](https://img.shields.io/github/stars/shaikhsajid1111/enquit?style=social)

Enquit is an anonymous social question and answer platform designed to foster open communication without compromising user privacy. On Enquit, users can freely ask and answer questions on any topic, whether it’s personal, professional, or just out of curiosity, all while maintaining complete anonymity. The platform provides a safe space for individuals to share their thoughts, seek advice, or engage in discussions without the fear of revealing their identity.

Whether you're looking to get honest feedback, share opinions, or simply learn from the community, Enquit ensures your privacy is always protected. With its user-friendly interface and focus on confidentiality, Enquit is the ideal place for anyone seeking a judgment-free zone to ask questions, share knowledge, and connect with others.

**Technologies**: Python, Django, SQLite, HTML, CSS, TypeScript and Bootstrap

![Enquit](assets/enquit.png)


### Filereal
[![Project Link of Filereal](https://img.shields.io/badge/Project-Link-blue)](https://github.com/shaikhsajid1111/file-sharing-application)
![GitHub Repo stars of Filereal](https://img.shields.io/github/stars/shaikhsajid1111/file-sharing-application?style=social)

Filereal is a cutting-edge platform designed for seamless, anonymous file sharing. With Filereal, users can effortlessly upload and share up to 10 files every 30 minutes, without the need for registration or personal information. Whether you're collaborating on projects, sharing personal files, or distributing content, Filereal ensures that your privacy is maintained throughout the entire process. It’s perfect for anyone looking for a quick, secure, and easy way to share files with colleagues, friends, or online communities while keeping their identity completely anonymous.

Filereal’s intuitive interface and simple functionality make it accessible to users of all levels, offering a robust solution for time-sensitive file sharing. Enjoy the freedom to share without constraints, all while maintaining top-tier security and privacy standards. With Filereal, sharing files has never been more efficient or secure!

**Technologies**: Node, Express, MongoDB, Bootstrap and React

![FileReal](assets/filerealjpg.jpg)


## Certificates



Freecodecamp Logo
Responsive Web Design

Freecodecamp - February 2019



Freecodecamp Logo

Data Visualization


Freecodecamp - March 2021



Freecodecamp Logo

Information Security


Freecodecamp - March 2021



Freecodecamp Logo

Javascript Algorithms and Data Structures


Freecodecamp - March 2021



Freecodecamp Logo

Scientific Computing with Python


Freecodecamp - March 2021



Freecodecamp Logo

Back End Development and APIs


Freecodecamp - November 2020



hackerrank Logo

Rest API Certificate


HackerRank - October 2020



Udemy Logo

React JS- Complete Guide for Frontend Web Development [2022]


Udemy - September 2022



Udemy Logo

Practical Web Development


Udemy - March 2021



Udemy Logo

Python Django Full Stack Developer


Udemy - March 2021