Hello
_

I'm Hasan Zahid

Automation & Data Engineer

I design systems that connect, automate, and
scale data-driven workflows.

HasanZ

About

My journey into tech began with optimizing Shopify stores and implementing SEO strategies to drive online visibility and sales. This hands-on experience in e-commerce gave me an appreciation for the systems that power modern digital platforms.

As I deepened my interest in software development, I transitioned into web engineering, building decoupled websites using Next.js for the frontend and Drupal as a headless CMS. This shift allowed me to explore scalable architectures and API-driven development.

Today, I focus on automation, integration, and data engineering. At Simplified Dashboards, I build end-to-end ETL pipelines, real-time data workflows, and system automations using tools like Apache Airflow, Make.com, n8n, and Zapier, powering insights and eliminating repetitive tasks across teams.

I'm currently pursuing a Bachelor's degree in Computer Science while continuously learning new technologies to solve real-world problems. Whether it's connecting systems, moving data, or automating business logic, I thrive on building solutions that scale.

Education

  • FAST NUCES · Karachi

    Batch Of 2021 — 2025

    Bachelors in Computer Science

    CS Electives:

    • Graph Theory (GT)
    • Information Retrieval (IR)
    • Recommender Systems (RS)
    • Data Science (DS)
    • Software Testing (ST)
    • Bioinformatics
    • DevOps
    FAST Logo
  • Alpha College · Karachi

    2018 — 2020

    A-Levels Computer Science

    Subjects:

    • Computer SCIENCE (A)
    • Physics (A)
    • Mathematics (B)
    Alpha Logo

Experience

  1. Feb 2025 — Present

    Built ETL pipelines and automation workflows using Airflow, Make.com, and n8n to streamline operations across 15+ systems. Led data migrations, real-time integrations, and dashboard development, reducing reporting time by 80% and enabling data-driven decisions.

    • Python
    • SQL
    • Apache Airflow
    • Make.com
    • n8n
    • Zapier
    • Airbyte
    • Looker
    • DataBox
    • Google BigQuery
    • Webhooks
  2. June 2024 — Feb 2025

    Worked as a Software Engineer at Cipher Impact, where I contributed to the development of a decoupled web architecture using Next.js as the frontend and Drupal as a headless CMS. I focused on building scalable APIs and seamless frontend-backend integrations, gaining hands-on experience in modern web engineering practices and headless CMS implementations.

    • JavaScript
    • TypeScript
    • Next.js
    • Drupal
    • REST APIs
    • Amazon S3
    • JWT
  3. July 2021 — Feb 2022

    Managed and optimized store to enhance user experience and sales. Implemented SEO strategies to improve search engine rankings and traffic

    • Google Search Console
    • Liquid Code
    • HTML & CSS
    • Article Research
    • Keyword Research
    • On-Page Optimization
    • Off-Page Optimization
    • Content Management
    • Page Speed Optimization
    • Link Building
  4. July 2020 — July 2021

    Transitioned from intern to full-time, leading SEO strategy execution through keyword research, content creation, and on-site optimization. Improved website performance and supported data-driven marketing efforts through analytics and technical SEO.

    • Google Analytics
    • HTML & CSS
    • Article Research
    • Keyword Research
    • On-Page Optimization
    • Off-Page Optimization
    • Content Management
    • Page Speed Optimization
    • Link Building
    • Ranking Measurement
    • Monthly Reporting

Projects

  • Zoom Recordings Migration

    • Engineered Python-based automation to migrate 19,000+ video recordings (7TB+ data) from Zoom to Google Drive.
    • Implemented robust error handling and metadata management for reliable cloud-to-cloud migration.
    • Enabled efficient searchability and access control with automated file organization.
    • Python
    • Zapier
    • Google Drive API
    • Zoom API
    • Cloud Migration
    • Automation
    Zoom Migration Project
  • Lead Deduplication & CRM Optimization

    • Designed and implemented automated deduplication workflows using Make.com and Zapier for Close CRM.
    • Improved CRM data quality and reduced manual cleanup by 40% through real-time automation and lead standardization pipelines.
    • Make.com
    • Zapier
    • Python
    • Close CRM
    • CRM Automation
    CRM Deduplication Project
  • GiveNTake — Donation Platform (FYP)

    • Developed a donation platform connecting donors with verified organisations for items like food, clothes, and toys.
    • Used Google Maps API to match food donations with nearby organisations based on location.
    • Built real-time notification flow for each donation: Accepted → Picked → Completed.
    • Enabled campaign creation by organisations with screenshot-based verification and donor feedback dashboards.
    • Implemented donation tracking, item-based filtering, and custom post creation features.
    • Flutter
    • Node.js
    • Supabase
    • SQL
    • Google Maps API
    • JWT
    • CI/CD
    • Android
    GiveNTake Donation Platform
  • ChatOps Automation with Slack & Jenkins

    • Developed a ChatOps system to trigger CI/CD workflows directly from Slack using slash commands.
    • Integrated Slack with Jenkins pipelines via Python backend and custom webhooks for automated build and deployment tasks.
    • Containerized the application with Docker to ensure consistent deployment across environments.
    • Slack API
    • Python
    • Docker
    • Jenkins
    • CI/CD
    • Webhooks
    ChatOps Slack CI/CD Project
  • hasanz.vercel.app

    Portfolio Website made to showcase talents, built with Next.Js and TailwindCSS.

    • Next.Js
    • Vercel
    • Tailwind CSS
    Portfolio Website
  • Information Retrieval — CS Elective

    • Developed inverted and positional indexes for a collection to facilitate the Boolean Model of IR.
    • Implemented Vector Space Model for information retrieval and text classification using KNN and KMeans algorithms.
    • Performed Sentiment Analysis on IMDB dataset with 50,000 movie reviews using Neural Network Models such as LSTM and CNN.
    • Python
    • Boolean Model of IR
    • Inverted Index
    • Positional Index
    • KNN
    • KMeans
    • Vector Space Model
    • Sentiment Analysis
    • IMDB dataset
    • CNN
    • LSTM
    IR Project
  • Food Ordering App — Software Engineering

    • Created a Flutter app for ordering food from university vendors using Flutter, Node.js, and Oracle SQL.
    • Features included user/vendor registration, vendor administration, user order placement, order delivery, menu browsing, favourites and more.
    • Flutter
    • Node.js
    • SQL
    food ordering app

Contact

Lets connect! Whether you have a question, want to collaborate, or just want to say hi, feel free to reach out. I'd love to hear from you.