Freelance Data Engineers in Karachi City

Freelance Data Engineers in Karachi CityFreelance Data Engineers in Karachi City

Projects People

proKarachi, Pakistan

Full-Stack & AI Developer | Next.js, AI Agents

$25k+: Earned

7x: Hired

5.0: Rating

47: Followers

Full-Stack & AI Developer | Next.js, AI Agents

Cover image for Another successful knowledge management migration

Another successful knowledge management migration completed. This project involved migrating approximately 200 pages across 48 Quip files into Notion before Quip's sunset. Since there isn't a reliable way to automate the migration, I manually exported and rebuilt the content while preserving structure, formatting, and hierarchy. To make the workspace more valuable than the original, I used Notion AI to organize information, extract action items, clean up documentation, and transform scattered notes into a searchable, future-ready knowledge base. A smooth migration with zero compromise on content quality and a much better workspace for the team going forward.

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Cover image for Student Grit Score Data System

Student Grit Score Data System

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Cover image for The Student Grit Score Data

The Student Grit Score Data System is a real-time, effort-focused performance tracking system designed to replace traditional report cards with continuous feedback centered on consistency, engagement, and growth. The system captures daily teacher-observed signals across effort, mastery, reading, and behavior, calculates a daily and weekly Grit Score, and presents insights through clear, role-appropriate dashboards for teachers and parents.

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Cover image for Legacy Building: Media Export & Community Features

Legacy Building: Media Export & Community Features

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Data Engineer(3)

Muhammad Arsalan

Karachi, Pakistan

Data Engineer | Web Scraping | SQL | BI Dashboards

Data Engineer | Web Scraping | SQL | BI Dashboards

Cover image for Problem:

Users needed a faster way

Problem: Users needed a faster way to find the most relevant counselor based on specialization and available data. Solution: Built a recommendation workflow using PySpark for data processing and Redis for fast lookup and recommendation serving. Tools: Python, PySpark, Redis, Docker, Docker Compose Result: Created a containerized recommendation system that processes counselor data and returns relevant matches efficiently.

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Cover image for Problem:

Batch data processing was not

Problem: Batch data processing was not suitable for real-time analytics and scalable cloud-based data ingestion. Solution: Created a real-time streaming pipeline using Kafka on AWS EC2, stored processed data in S3, cataloged it with AWS Glue, and queried it with Amazon Athena. Tools: Python, Apache Kafka, AWS EC2, Amazon S3, AWS Glue, Amazon Athena, Pandas Result: Built an end-to-end cloud data streaming workflow that supports real-time ingestion, storage, cataloging, and SQL-based analytics.

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Cover image for Problem:
Financial data from stocks and

Problem: Financial data from stocks and crypto APIs was scattered, refreshed manually, and not ready for analytics or ML use. Solution: Built an Apache Airflow pipeline to collect, transform, validate, and load real-time financial data from multiple APIs into PostgreSQL, MongoDB, AWS RDS, and Qdrant. Tools: Apache Airflow, Python, PostgreSQL, MongoDB, AWS RDS, Qdrant, APIs Result: Automated sub-hourly data refresh, processed thousands of records daily, and delivered clean data for dashboards, analytics, and vector search.

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Cover image for Problem:

Finance data was difficult to

Problem: Finance data was difficult to analyze across sales, profit, orders, discounts, countries, and customer segments. Solution: Created an interactive Power BI dashboard with KPI cards, sales trends, profit analysis, country performance, and segment-level insights. Tools: Power BI, Power Query, DAX, Excel, Data Modeling Result: Delivered a clear executive dashboard for tracking financial performance, identifying trends, and making faster business decisions.

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Data Engineer(3)

Muhammad Jarir Kanji

Karachi City, Pakistan

Data Scientist Transforming Ideas into Solutions

$1k+: Earned

2x: Hired

6: Followers

Data Scientist Transforming Ideas into Solutions

Cover image for Data Engineering & AI/ML Lead at SaaS startup

Data Engineering & AI/ML Lead at SaaS startup

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Cover image for Content Moderation using NLP & LLMs for a SaaS startup

Content Moderation using NLP & LLMs for a SaaS startup

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Cover image for Data engineering & R Development at the WHO

Data engineering & R Development at the WHO

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Data Engineer(3)

Karachi, Pakistan

Full-Stack Developer | Laravel, React, Flutter & AI

New to Contra

Full-Stack Developer | Laravel, React, Flutter & AI

Cover image for A full-stack construction management platform

A full-stack construction management platform built for an industrial contractor to replace fragmented spreadsheet-based workflows with one centralized production system. Built a T&M estimating system with crew-based labor and cost/billable rate calculations, GPS-verified field time tracking, per-diem and cost-code allocation, purchase order and commitment tracking, cost reporting, payroll processing, client-facing billing views, and invoicing. The platform includes 28 modules, 9 permission roles, REST APIs, and print-ready PDF/Excel exports, and was shipped iteratively while being used in daily production. Stack: Laravel 12 · PHP 8.3 · MySQL · Alpine.js · Tailwind CSS · REST API

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Cover image for Built a full-stack clinic management

Built a full-stack clinic management and appointment booking platform for a multidisciplinary healthcare clinic using Laravel and Livewire. The system handles the complete patient journey — multi-clinician appointment booking, live slot availability, consent forms, clinical notes, prescriptions, pharmacy inventory, invoicing, payments, and video consultations. I also integrated Google Calendar, Zoom, e-signatures, multiple payment gateways, and multilingual support across 11 languages.

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Cover image for Built GigResource end to end

Built GigResource end to end — a two-sided marketplace connecting event clients with verified professionals. Clients can create detailed requests across 106 event types, receive sealed bids, compare professionals, award services, manage contracts and packages, and handle payments and payouts in one platform. I built the complete Laravel architecture, marketplace workflows, Stripe payment layer, and 1,000+ feature tests covering critical booking and money flows.

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Cover image for UmmahDhikr is a full-stack Islamic

UmmahDhikr is a full-stack Islamic Dhikr mobile app I built and shipped for iOS and Android using Flutter, backed by a Laravel REST API. It features live global campaigns, private groups, progress tracking, leaderboards, and RevenueCat-powered subscriptions.

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Data Engineer(1)

Zaheeruddin Shaikh

Karachi, Pakistan

Database Design & SQL Development Specialist

New to Contra

Database Design & SQL Development Specialist

Cover image for Thesis Evaluation Management
Designed and developed

Thesis Evaluation Management Designed and developed a database-backed web application for managing the thesis evaluation process at an academic institution. The system manages student and thesis information including registration number, degree/programme, thesis title, supervisor and co-supervisor. It also manages thesis submission according to prescribed templates and verification requirements, including formatting, plagiarism and other guidelines. Students who qualify proceed to thesis defense before a panel comprising the supervisor and internal and external members. The system maintains the status of the thesis through these stages and supports final publication after successful evaluation and prescribed formatting. My contribution: Database design and application development. Technology: MariaDB, C#, .NET Core, Entity Framework Core, ASP.NET (http://ASP.NET) Core Identity and RDL Reports.

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Cover image for Zultec Barcode Solutions — Barcode,

Zultec Barcode Solutions — Barcode, PDA & WLAN-Based Business Solutions As Team Leader / Senior Software Engineer at Zultec, I designed and guided the development of mobile and barcode-based solutions connecting handheld PDAs, barcode scanning, WLAN/WiFi connectivity, applications, and enterprise databases. The solutions were developed using C# with Visual Studio 2005, .NET Compact Framework, Windows Mobile 6.0, WindowsCE, and SQL Server Mobile 2005, with integration with SQL Server and Oracle databases where required. I guided developers in implementing mobile applications on handheld devices and PDAs for a range of operational environments, including: • NJ Autos, Pirani Group — WiFi-based real-time transfer of workshop-floor data from handheld PDAs to SQL Server, with barcode scanning of engine and chassis information through quality checking and dispatch. • Yunus Textile Mills (YTM) — Barcode-based verification to prevent incorrect items from being packed and incorrect cartons from being dispatched. • Central Library System, NED University — Barcode generation and circulation for more than 65,000 books and 11,000 members, including issue, return and reservation using Oracle 10g and Oracle Forms/Reports. • Defense Central Library (DCL) — PDA-based physical stock taking to identify lost books, duplicate entries and uncounted inventory, with transfer of collected data to Oracle 10g. • Pakistan State Oil (PSO) — Barcode-based physical inventory of fixed assets to trace mislocated and lost items. • NSD — WiFi-based real-time data exchange through handheld PDAs across warehouses containing more than 300,000 inventory items, including barcode-based issue and return. This work combined mobile application development, barcode technology, PDA-based data capture, WLAN connectivity and database integration to support accurate and traceable operational processes across automotive, textile, education, library, oil & energy, and warehouse environments.

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Cover image for Zultec ERP — Enterprise Resource

Zultec ERP — Enterprise Resource Planning System I worked as Team Leader / Senior Software Engineer on the development of the Zultec ERP System from June 2006 to March 2010. My primary contribution was the analysis, design and database development of the Non-Financial Modules of the ERP, including: Procurement Module Inventory Module Sales Module Production Module Services and Maintenance Module User Security Management Module I independently carried out the analysis and design of these modules, developed logical and physical database models, and created the integrated database in SQL Server 2005. I also guided developers in the implementation of the User Interface and system functionality using C# and Visual Studio 2005. A significant part of the work involved Business Process Analysis and Documentation. User requirements were gathered and documented, Business Process Flow Diagrams were developed, and Business Process Reengineering was suggested for important processes. The Non-Financial Modules were integrated with Financial Modules developed by another team, including: Accounts Receivables Module Accounts Payable Module General Ledger Fixed Assets Module Human Resource Module Payroll Module The ERP incorporated processes covering procurement, sales, inventory, production, services and maintenance. It supported activities such as customer quotations, sales orders, purchase orders, Goods Receiving Notes, Delivery Notes, production job orders, raw-material tracking, finished-product tracking, repair and service job orders, and warranty claims. The system also incorporated Standard Item Codes, Bill of Material and Chart of Accounts, providing standardization across the organization. Multi-warehouse and multi-currency functionality was also employed. My Key Contribution Database Design • Business Process Analysis • ERP Integration • UI Guidance • Reporting • Documentation • Technical Leadership Technology: C# • Visual Studio 2005 • SQL Server 2005 • Crystal Reports • Visual SourceSafe 2005 This project represents my experience in designing and integrating an enterprise ERP database around real business processes, while working closely with developers and other technical teams.

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Cover image for MAJU Outcome-Based Education (OBE) System
Designed

MAJU Outcome-Based Education (OBE) System Designed and developed the database for an Outcome-Based Education system at Mohammad Ali Jinnah University (MAJU), with the frontend subsequently implemented in both PHP and C#/.NET. The system models the relationship between: PEO → PLO → CLO → Assessment It provides detailed assessment of courses by CLO and PLO for individual students and supports the management of outcome-based education across university programmes. Key areas represented Degrees — BS, MS and PhD Programmes Programme Educational Objectives (PEO) Programme Learning Outcomes (PLO) Course Learning Outcomes (CLO) CourseCLOAssessmentStructure CourseCLOAssessment Grade Sheets Transcripts Major programmes included areas such as Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence and Business Administration, along with Biotechnology and Bioinformatics-related programmes. Programme availability varies by degree level. Database & Technology Database: MariaDB SQL: SQL User Interfaces: PHP and C#/.NET .NET: .NET Core, C#, Entity Framework Core, ASP.NET (http://ASP.NET) Core Identity Reporting: RDL Reports Supporting Tool: Excel VBA The same MariaDB database was used by both the PHP and .NET user interfaces. The PHP version was developed earlier and was practically used with real data; the .NET Core version was developed later. This project demonstrates database design for a complex academic information system where educational objectives, learning outcomes and student assessment are interconnected through a structured relational database.

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Data Engineer(1)

Karachi, Pakistan

Agency Partner | Digital Ops & Development

Agency Partner | Digital Ops & Development

Cover image for Multi-Drive Architecture: Synchronizing & Organizing

Multi-Drive Architecture: Synchronizing & Organizing 4 Enterprise Streams Project Overview: The client operated with four distinct Google Drives (Personal, Giant Ventures, WMBG Rentals, and Lock & Key Property Inspection) all linked under a single account. The data was heavily fragmented, with business assets, rental documents, and personal backups mixed across all platforms. I was hired to consolidate and structure this 100GB+ ecosystem into a unified, professional workspace. The Challenges: Cross-Drive Clutter: Files from different businesses were intermingled, causing massive confusion and slow retrieval. Storage Waste: High volume of redundant backups and temporary files taking up valuable cloud space. Syncing Issues: Inconsistent folder naming prevented smooth access across mobile and desktop devices. My Solution & Workflow: Unified Folder Hierarchy: Designed a master structure that separated the 4 entities while maintaining a logical link between them. Deep Data Sorting: Manually audited and moved over 100GB of files into their respective business or personal categories. The "Zero-Duplicate" Protocol: Identified and removed redundant files to optimize storage and reduce costs. Standardized Naming Convention: Established a consistent file-naming system for "Lock & Key" and "WMBG Rentals" to ensure future scalability. The Results: Turnaround Time: Completed the entire migration and organization within 3 days (ahead of schedule). Efficiency Boost: The client can now locate any document from any of the 4 drives in seconds. Seamless Sync: Guaranteed 100% folder accessibility across all client devices.

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Cover image for Strategic Influencer Research for Organic Skincare

Strategic Influencer Research for Organic Skincare

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Cover image for Stop Managing Files. Start Managing

Stop Managing Files. Start Managing Your Growth. Do you own your data, or does your data own you? Most businesses I work with share the same frustration: "I know I saved that file, but I have no idea where it is." Recently, I audited a massive 180GB+ ecosystem spread across four different Google Drives—Personal, Business, Rentals, and Property Inspections. It was a digital labyrinth of duplicates, mismatched names, and fragmented folders. The transformation? In just 3 days, we moved from 180GB of digital noise to a streamlined, multi-tier architecture where every file is exactly two clicks away. Why does this matter? Organization isn't just about "cleaning up"; it’s about mental bandwidth. When your operations are structured: You stop wasting 20% of your day searching for documents. Your team syncs effortlessly across devices. Your business is ready to scale without the clutter. I specialize in turning digital chaos into high-efficiency systems—whether it’s Cloud Storage Architecture, B2B Lead Databases, or Operational Workflows. If your Google Drive or Dropbox feels like a junk drawer, let's fix that. Drop a "System" in the comments if you’re ready to reclaim your storage (and your time)! #DigitalOrganization #Operations #Efficiency #CloudStorage #WorkflowOptimization #SystemsBuilding

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Cover image for Targeted B2B Lead Generation &

Targeted B2B Lead Generation & Strategic Data Management Project Overview: I was engaged by a private client to execute a high-precision B2B lead generation campaign coupled with comprehensive data organization. The goal was to identify high-intent prospects and build a structured database that would serve as the backbone for the client’s outreach and sales strategy. The Challenges: Lead Quality: The client required specific, verified leads that met strict industry criteria to minimize bounce rates. Information Overload: Raw data was coming in from multiple sources and needed to be unified into a single, actionable format. My Solution & Workflow: Custom Lead Mining: Used advanced search techniques and tools to extract verified B2B leads, focusing on key decision-makers. Data Verification & Cleaning: Manually validated each lead to ensure 100% accuracy of contact information and company details. Dynamic Database Creation: Developed a structured Google Sheets/CRM environment where leads were categorized by industry, location, and potential value. Process Automation: Set up a streamlined workflow for the client to easily import these leads into their email marketing software. The Results: High-Conversion Lead List: Delivered a robust database of verified leads that significantly improved the client’s campaign response rate. Operational Clarity: Provided a clean, organized system that eliminated data silos and allowed for better sales tracking. Client Retention: Successfully met all project milestones, leading to an ongoing professional relationship outside of standard platforms.

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Data Engineer(1)

Moiz Ahmed Mansoori

Karachi, Pakistan

AI Assistants, RAG Chatbots & Business Workflow Automation

New to Contra

AI Assistants, RAG Chatbots & Business Workflow Automation

Cover image for QueryMind lets you query a

QueryMind lets you query a real database using plain English. Type a question, get an answer — no SQL knowledge needed. Built a production-grade AI agent using LangGraph that converts natural language to SQL, executes it on a real PostgreSQL database with 100,000+ rows, and automatically corrects errors in a retry loop if the query fails. Key features: 7-node LangGraph agent with conditional routing and self-correction pgvector semantic search for intelligent schema retrieval Full observability dashboard with real-time metrics and query history Trace replay — see every step the agent took to answer your question Deployed live: Next.js frontend on Vercel, FastAPI backend on Render Tech: LangGraph · Groq LLaMA 3.3 70B · PostgreSQL · pgvector · FastAPI · Next.js · Tailwind CSS Github: https://github.com/moiz-mansoori/QueryMind-NL2SQL-Agent-System

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Cover image for Most people think generating a

Most people think generating a 3D model is the hard part. It isn't. The real challenge is generating something that's actually usable. That's why I built VoxelVia3D. Instead of producing random meshes, it turns a simple text prompt into a structured 3D asset that creators can immediately preview and download. What I focused on wasn't just AI generation. It was the complete product experience: • Clean web interface • Fast AI inference • Real-time generation progress • Downloadable 3D assets • Responsive, production-ready deployment The difference between a cool AI demo and a useful AI product isn't the model. It's everything around the model. That's the kind of AI software I enjoy building. 🌐 voxelvia3d.app (http://voxelvia3d.app)💼 contra.com/moiz_roshan_zszcum4s

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Cover image for I built an AI wellness

I built an AI wellness app that does more than generate responses. It listens, remembers context, and responds with emotional guardrails in place. https://asksukoon.com/ Most “AI wellness” tools today are just chat interfaces with a mental health label attached. AskSukoon was built differently. What’s inside: — Voice conversations with sentiment-aware responses — Memory-powered support using ChromaDB — Guardrails for sensitive interactions — Guided reflections and mood tracking — Fast, mobile-friendly experience built for real users The hardest part wasn’t connecting an LLM. It was designing something that feels calm, safe, and usable in production. Shipping this taught me more about product than 3 years of coursework Live: https://asksukoon.com/ Services: contra.com/moiz_roshan_zszcum4s

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Cover image for Built AIRO, a 6-agent ML

Built AIRO, a 6-agent ML automation system using LangGraph and Groq LLaMA 3.3. The system automates the entire ML pipeline from data ingestion to final report generation. Ran 18 experiments achieving RandomForest f1_macro of 0.7329. Features parallel training, MLflow tracking, SHAP explainability, and a dark Streamlit UI with live log streaming.

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Data Engineer(1)

Karachi, Pakistan

I build products that ship and ideas that scale.

I build products that ship and ideas that scale.

Cover image for I recently engineered a real-time

I recently engineered a real-time tracking system for a school to replace static reports with continuous feedback. Using a Google Sheets-to-Looker Studio pipeline, I automated the transition from raw teacher observations to parent-facing insights. Key Deliverables: Live Pipeline: Structured Sheets input for teachers to log 12+ data points per student daily. Grit Scoring Engine: Built custom logic weighting effort over mastery using cohort benchmarks. Dynamic URL Security: Implemented unique, filtered dashboard links for secure parent/student access. Automated Insights: Built-in trend indicators (Improving/Stable/Declining) for instant intervention. The Impact: The client now uses a live command center that eliminates manual reporting and provides real-time actionable intelligence.

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Cover image for Designed and built an AI-driven

Designed and built an AI-driven regulatory compliance assistant enabling financial teams to automatically analyze policies, draft compliant documentation, and evaluate regulatory risk in real-time. Key Achievements: Reduced manual policy review effort through automated AI-based document analysis. Built a RAG architecture combining scraped regulatory data and semantic retrieval. Implemented compliance scoring algorithms for structured risk evaluation. Integrated conversational AI for contextual regulatory Q&A.

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Cover image for PowerPresent.AI is an AI-powered presentation

PowerPresent.AI is an AI-powered presentation maker designed to automate and modernize the way presentations are created. It enables users to generate high-quality, structured presentations within seconds using AI. The platform is built with a Next.js frontend and a Convex database, with an AI backend powered by LangChain and LangGraph to handle intelligent content generation, slide structuring, and flow optimization. By combining modern full-stack architecture with advanced AI orchestration, PowerPresent AI delivers fast, scalable, and reliable presentation generation eliminating manual slide creation while maintaining clarity and consistency.

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Cover image for Full-Stack Medical Consultation Platform with Next.js & Node.js

My Mashwara is a full-stack platform built using Next.js and Node.js that provides third-party medical consultation services. The platform features three dedicated dashboards: Admin, Doctor, and Patient. Patients can seamlessly book appointments with doctors through an intuitive interface, while administrators manage and oversee cases across the platform. The system is integrated with Google Meet for virtual consultations and includes a personalized calendar for doctors, allowing them to set their availability so patients can book appointments accordingly.

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Data Engineer(1)