Amjad A.
Data & AI Architect | Agentic Workflow & Machine Learning Specialist
Building production data infrastructure and AI systems for clients across the US, UK, and Middle East. Top Rated on Upwork with 100% Job Success. I help businesses turn messy data into reliable pipelines and transform AI ideas into working products. Whether you need a data warehouse that scales, an LLM powered assistant, or automated workflows that save hours of manual work, I build systems that actually run in production. Data Engineering: I design and build ETL and ELT pipelines using Python, dbt, Airflow, and AWS Glue. I work with data warehouses like BigQuery, Snowflake, and Redshift, and have consolidated complex architectures into clean, maintainable systems. One project involved reducing 132 AWS Lambda functions down to 10 streamlined pipelines. I handle data modeling, dimensional design, and build dashboards using Looker Studio and Power BI that teams actually use. AI and LLM Systems: I build practical AI solutions using OpenAI, Claude, and open source models. This includes RAG pipelines with LangChain and vector databases like Pinecone and ChromaDB, custom chatbots, document assistants, and multi agent systems. I also work with agentic AI and workflow automation using n8n and OpenAI Agents to help businesses automate repetitive tasks. What I Work With: Python, SQL, dbt, Airflow, Spark, BigQuery, Snowflake, Redshift, AWS, GCP, Azure, Docker, FastAPI, Django, LangChain, OpenAI API, n8n, Pinecone, ChromaDB, Looker Studio, Power BI How I Work: I communicate clearly, respond quickly, and focus on delivering working solutions. I have experience working async with international teams and managing projects independently. I document my work and write clean, production ready code. If you have a data or AI challenge, send me a message. I am happy to discuss how I can help.
Earnings and projects
Last 6 months ÷ 6
Billed in all: $24,603$25k
Across 9 contracts