You will get AWS, GCP and Azure Data pipeline
Top Rated

Project details
Hi Everyone,
Thank you for reaching my projects. I can build and solve your business idea related to Data Pipeline/Data warehouse/Data Lake/Data Mesh/Data Extraction system/Data migration system/Data Integration system using these tools below:
Cloud Data Pipeline:
• Google Cloud platform : Bigquery, Looker Studio, Cloud Run, Dataflow, Data proc, Google Sheet, GA4, Cloud Storage, Firestore, ....
• Amazon Web services : Lambda Function, EC2, ECS, Fargate, AWS Glue, Athena, Redshift, EventBridge, SNS, SQS, AWS EMR, ....
• Microsoft Azure : Data Factory, PowerBI, Blob Storage, Azure Databricks, Cosmos DB, ....
Other tools for Data Pipelines:
• Airflow
• DBT
• PostgresSQL, SQL Server, MySQL, Snowflake, ...
• MongoDB, Elasticsearch, ...
• Kafka
• Apache Hadoop
• Apache Spark
• Apache Beam
Programming Languages for data pipelines:
• Python
• Java
• R
• NodeJS
• SQL
Thank you for reaching my projects. I can build and solve your business idea related to Data Pipeline/Data warehouse/Data Lake/Data Mesh/Data Extraction system/Data migration system/Data Integration system using these tools below:
Cloud Data Pipeline:
• Google Cloud platform : Bigquery, Looker Studio, Cloud Run, Dataflow, Data proc, Google Sheet, GA4, Cloud Storage, Firestore, ....
• Amazon Web services : Lambda Function, EC2, ECS, Fargate, AWS Glue, Athena, Redshift, EventBridge, SNS, SQS, AWS EMR, ....
• Microsoft Azure : Data Factory, PowerBI, Blob Storage, Azure Databricks, Cosmos DB, ....
Other tools for Data Pipelines:
• Airflow
• DBT
• PostgresSQL, SQL Server, MySQL, Snowflake, ...
• MongoDB, Elasticsearch, ...
• Kafka
• Apache Hadoop
• Apache Spark
• Apache Beam
Programming Languages for data pipelines:
• Python
• Java
• R
• NodeJS
• SQL
Support & IT Services
Cloud Services, Data Recovery, Helpdesk & Technical Support, OtherDevice
Server/HostingOperating System
Linux/UnixCloud Platforms
Amazon Web Services, IaaS, Google Cloud Platform, IBM Cloud, Microsoft Azure, Oracle, SaaS, Salesforce, OtherWhat's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 30 days |
Number of Revisions | 1 | 2 | Unlimited |
Remote Connection Support | |||
Documentation | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $500
Documentation
(+ 2 Days)
+$50
73 reviews
(71)
(2)
(0)
(0)
(0)
DC
David C.
Mar 29, 2025
Great platform to interface with developer.
RG
Reza G.
May 27, 2026
30 minute consultation
Tran exceeded all my expectations!
DL
David L.
Apr 28, 2026
30 minute consultation
I have a technically complex task and Tran submitted a fantastic, well thought out proposal. Being somewhat technical myself, Tran is very obviously experienced and has great approaches towards hard problems. I look forward to hiring Tran to get it completed.
CS
Chod S.
Feb 24, 2026
Data Extraction & Automation Engineer for Large Document Repository
CK
Chris K.
Dec 30, 2025
FT Platform Phase #2
Great backend developer, highly recommend!
GB
Gilad B.
Dec 18, 2025
Phase 0: Design a granular data schema and structure, and full tool flow
Very knowledgeable and professional. Good communication
About Tran
AI Engineer | Fullstack Developer | Data Engineer | Web Scraping
100%
Job Success
Ho Chi Minh City, Vietnam - 1:14 pm local time
🚀 WHAT I'VE SHIPPED (live products, real numbers)
- Enterprise AI assistant: LangGraph Supervisor routing sub-agents across 70+ MCP tool integrations; web, PWA, iOS & Android from one React codebase
- AI cybersecurity platform: fine-tuned Mistral 7B on 424k training samples; Neo4j knowledge graph + RAG
- EdTech RAG platform: raised answer accuracy from ~80% to 95%+ (pgvector, LangChain, Claude)
- Multi-tenant enterprise AI suite: 5-agent architecture with persistent memory, running at 94.7% platform health
- Sales-KPI AI dashboard: cut LLM cost by 92% with Claude Haiku
- My own SaaS: multi-tenant AI content agents, personalized per tenant (live product, see Portfolio section)
💬 AI AGENTS, AI CHATBOTS & LLM / GENERATIVE AI APPS (Full-Stack)
- AI Agent Development: autonomous agents with tool calling, multi-step reasoning, and decision-making (LangGraph, LangChain, MCP)
- Multi-Agent Systems: supervisor patterns, agent-to-agent communication, task delegation, workflow orchestration
- AI Chatbot Development: customer-service bots, document Q&A, and conversational AI grounded in your business data (RAG / Retrieval-Augmented Generation, no hallucinations)
- Custom MCP servers: turn your internal tools into capabilities for Claude, Cursor, and other LLM clients
- Models & APIs: Claude (Anthropic), OpenAI API (GPT-4/4o), Gemini, DeepSeek, Llama 3, Hugging Face; AWS Bedrock, Azure OpenAI, Vertex AI
- Vector databases: Pinecone, Milvus, ChromaDB, pgvector, FAISS + Neo4j graphs
- Observability, evals & fine-tuning: LangSmith, Langfuse; LLM fine-tuning and machine learning for domain-specific tasks
- Frontend: Next.js, React, TypeScript, Tailwind. Backend: Python (FastAPI, Flask, Django), NestJS, Node.js/Express, GraphQL
Perfect for: AI automation, support automation, sales chatbots, document Q&A, intelligent search, workflow and business-process automation.
⚡ DATA ENGINEERING & ETL PIPELINES
Production data infrastructure processing millions of records:
- Pipelines: Apache Spark, Airflow, Dagster, dbt • Streaming: Kafka
- Batch: AWS Glue, Google Dataflow, Azure Data Factory
- Warehouses: BigQuery, Snowflake, Redshift, Athena, with optimized schemas plus HIPAA-style audit & lineage
- Zero-downtime migrations to cloud warehouses
🕷️ WEB SCRAPING & DATA EXTRACTION
- Platforms: Facebook, TikTok, LinkedIn, Shopify, HubSpot, QuickBooks, SaaS portals
- Tools: Scrapy, Playwright, Selenium, Puppeteer, BeautifulSoup, Crawl4AI
- Anti-bot: Cloudflare, CAPTCHA, rate limiting, solved with proxy rotation & monitoring
- Output: clean CSV/JSON, SQL databases, or a ready-to-use API
☁️ CLOUD & DEVOPS
AWS (Lambda, ECS Fargate, Glue, Athena, Redshift, SQS, EventBridge, EMR) • GCP (BigQuery, Cloud Run, Dataflow, Dataproc) • Azure (Data Factory, Databricks) • Docker, Kubernetes, Terraform, GitHub Actions & GitLab CI/CD • Monitoring: CloudWatch, Datadog, Prometheus, Grafana
✅ WHY CLIENTS PICK ME
- Founder-led, senior-only execution: you work with me directly, no agency layer
- AI-native workflow (Claude Code, Cursor, Copilot): 2-3x faster delivery, production quality
- 6+ years across AI engineering, data engineering, and full-stack development
- End-to-end ownership: architecture → code → deployment → monitoring
- Clear communication: regular updates, transparent workflow, overlap with US/EU hours
Let's build your AI solution. Send an invite or message me, and I'll reply with a concrete plan within hours.
Steps for completing your project
After purchasing the project, send requirements so Tran can start the project.
Delivery time starts when Tran receives requirements from you.
Tran works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Requirements
I will receive documents and requirements from clients and analyze business idea.
Developing Data Pipeline
I will start Desiging, Coding and Deploying the data pipeline