You will get a scalable AI data pipeline with LLM & RAG integration

Moeed E.Status: Offline
Moeed E. Moeed E.
4.3

Let a pro handle the details

Buy Other Databases services from Moeed, priced and ready to go.
Moeed E.Status: Offline
Moeed E. Moeed E.
4.3

Let a pro handle the details

Buy Other Databases services from Moeed, priced and ready to go.

Project details

You will get a scalable AI data engineering solution designed for automation, intelligence, and real business impact. I’ve worked heavily with Python, LLMs, RAG architectures, Data bricks, Snowflake, and modern AI workflows to build high performance data pipelines and AI-powered applications.

What sets me apart is that I don’t just build basic integrations, I get my hands dirty with the full architecture including data ingestion, vector databases, retrieval systems, API integrations, workflow automation, and deployment optimization. Whether you need an AI chatbot, RAG pipeline, analytics workflow, or end-to-end AI data platform, I can handle the complete implementation from backend engineering to production deployment.

The final delivery will include clean, scalable code, optimized workflows, documentation, and a reliable production-ready solution built for performance, scalability, and long-term maintainability.
Database Type
MySQL, MS SQL, SQLite, PostgreSQL, MongoDB, Azure Cosmos DB
What's included
Service Tiers Starter
$80
Standard
$250
Advanced
$500
Delivery Time 3 days 5 days 7 days
Number of Revisions
123
Source Code

Frequently asked questions

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Editing Product Information Moeed is a very qualified contractor. Job Well Done! Thank you for such great work!! Will work with in the future.
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About Moeed

Moeed E.Status: Offline
AI Data Engineer | LLM & RAG | GHL | Databricks, Snowflake | Python
4.3  (7 reviews)
Lahore, Pakistan - 9:02 pm local time
⚒️ “𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈-𝐫𝐞𝐚𝐝𝐲 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐭𝐡𝐚𝐭 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐫𝐚𝐰 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬.” - 𝑀𝑜𝑒𝑒𝒹

❤️ With 10 years of hardcore experience under my belt, I am go-to expert for creating, optimizing, and maintaining data systems that don’t just work, they excel.

🚀 Former Google-xWF Senior AI & Data Engineer who worked on high-impact data initiatives for the Google Dataproc Regression CVE team.

🚀 Enterprise Experience

From optimizing 𝗔𝗪𝗦 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗳𝗼𝗿 𝗪𝗲𝘀𝘁𝗲𝗿𝗻 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 to modernizing 𝗔𝘇𝘂𝗿𝗲-𝗯𝗮𝘀𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗳𝗼𝗿 𝗖𝗹𝗼𝗿𝗼𝘅, streamlining 𝗱𝗮𝘁𝗮 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗖𝗼𝗰𝗮-𝗖𝗼𝗹𝗮 𝗨𝗦, developing 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗔𝗿𝗮𝗺𝗮𝗿𝗸, and enhancing data integration platforms for 𝗢𝘀𝗵𝗸𝗼𝘀𝗵 𝗖𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗶𝗼𝗻, I deliver exceptional results.

🔥 What I Can Build For You

✔ AI Data Platforms & Lakehouse Architectures
✔ LLM & RAG Data Pipelines
✔ Databricks & Snowflake Data Platforms
✔ Enterprise ETL Pipelines & Data Warehouses
✔ AI-Powered Analytics Systems
✔ Real-Time Data Processing Pipelines

⚙️ Core Expertise

🧠 Data Engineering
Databricks • Snowflake • Apache Spark • PySpark • ETL Pipelines • Data Lakehouse
🧠 AI & Machine Learning
LLM Systems • RAG Pipelines • Generative AI • Predictive Modeling • NLP
🧠 Cloud Platforms
AWS • Azure • GCP
🧠 Data Platforms
BigQuery • Redshift • Synapse • Data Lake Gen2
🧠 Databases
PostgreSQL • MySQL • MongoDB • SQL Server
🧠 DevOps & Infrastructure
Docker • Kubernetes • CI/CD

📊 Recent Projects

⚡ Coca-Cola US Data Migration Platform (Azure Data Factory, SQL, Alteryx)
⚡ Enterprise Data Warehouse Modernization (Microsoft Fabric, PySpark)
⚡ Global Finance Analytics Platform (Power BI, Azure Analysis Services)
⚡ Financial Risk Analysis System (AWS, PostgreSQL, R)
⚡ Healthcare Analytics Platform (Databricks, Azure AI, ADF)

🤝 Why Clients Work With Me

✔ Enterprise-grade architecture
✔ AI-ready data infrastructure
✔ Scalable cloud platforms
✔ High-performance ETL pipelines
✔ Clean and maintainable code

❤️A trustworthy all-around developer with the ability to multi-task. Delivering high-quality results while meeting your business goals is my top priority.

I am negotiable on price and always up for a challenge. 𝗗𝗼𝗻'𝘁 𝗵𝗲𝘀𝗶𝘁𝗮𝘁𝗲 𝘁𝗼 𝗴𝗲𝘁 𝗶𝗻 𝘁𝗼𝘂𝗰𝗵 𝘄𝗶𝘁𝗵 𝗺𝗲. 𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗱𝗲𝗹𝗶𝗴𝗵𝘁𝗲𝗱 𝘁𝗼 𝗮𝘀𝘀𝗶𝘀𝘁 𝘆𝗼𝘂 𝘁𝗼𝗱𝗮𝘆.

📞 Feel free to leave a message.

Steps for completing your project

After purchasing the project, send requirements so Moeed can start the project.

Delivery time starts when Moeed receives requirements from you.

Moeed works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Analysis

Review project goals, datasets, APIs, and architecture requirements to finalize the AI solution workflow.

AI Pipeline Development

Build and integrate LLM, RAG, automation, database, and AI data engineering workflows using Python.

Review the work, release payment, and leave feedback to Moeed.