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You will get AWS, GCP and Azure Data pipeline

Tran T.Status: Offline
Tran T. Tran T.
5.0
Top Rated
Preview image

Let a pro handle the details

Buy Support & IT services from Tran, priced and ready to go.
Tran T.Status: Offline
Tran T. Tran T.
5.0
Top Rated
Preview image

Let a pro handle the details

Buy Support & IT services from Tran, priced and ready to go.

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
Support & IT Services
Cloud Services, Data Recovery, Helpdesk & Technical Support, Other
Device
Server/Hosting
Operating System
Linux/Unix
Cloud Platforms
Amazon Web Services, IaaS, Google Cloud Platform, IBM Cloud, Microsoft Azure, Oracle, SaaS, Salesforce, Other
What's included
Service Tiers Starter
$100
Standard
$500
Advanced
$5,000
Delivery Time 2 days 7 days 30 days
Number of Revisions
12Unlimited
Remote Connection Support
Documentation
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$50 - $500
Documentation (+ 2 Days)
+$50
5.0
73 reviews
97% Complete
(71)
3% Complete
(2)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

DC

David C.
5.00
Mar 29, 2025
Great platform to interface with developer.
Tran T.Status: Offline

About Tran

Tran T.Status: Offline
Data Engineer | Full-Stack AI Apps | Data Pipelines | Web Scraping
100% Job Success
5.0  (73 reviews)
Ho Chi Minh City, Vietnam - 1:58 pm local time
I build AI-powered web applications, personalized chatbots for businesses, scalable data pipelines, and intelligent automation systems. Specialized in LangChain, RAG, Next.js, FastAPI, and cloud deployment.

💬 AI Web & App Development (Full-Stack)

Custom AI chatbots and intelligent web applications for SMBs:

- AI Chatbots: Personalized customer service bots, knowledge bases, and conversational AI using LangChain, LangGraph, and RAG
- AI Agent Development: Build autonomous AI agents with tool calling, multi-step reasoning, and decision-making capabilities
- Multi-Agent Systems: Agent-to-agent communication for complex workflows, task delegation, and collaborative problem-solving
- Personalized AI for SMBs: Custom AI solutions trained on your business data, documents, and knowledge base for intelligent automation
- Frontend: Next.js, React.js, TypeScript with modern, responsive UI design
- Backend: FastAPI, Flask, Django, Node.js Express for high-performance APIs
- Vector Databases: Pinecone, Milvus, ChromaDB for semantic search and intelligent retrieval
- AI Tools: Claude Code, Cursor IDE, GitHub Copilot for rapid development
- Deployment: AWS, GCP, Azure, Digital Ocean with Docker and Kubernetes
- Methodologies: Agile Scrum and Waterfall development workflows

Perfect for: Customer support automation, sales chatbots, document Q&A, intelligent search, business process automation

⚡ Data Engineering & ETL Pipelines

Production data infrastructure processing millions of records:

- Pipelines: Apache Spark, Airflow, Dagster for automated ETL workflows
- Streaming: Kafka for real-time data processing and event-driven systems
- Batch Processing: AWS Glue, Google Dataflow, Azure Data Factory
- Data Warehouses: BigQuery, Redshift, Snowflake with optimized schemas
- Transformations: DBT models for data quality and business logic
- Migration: Zero-downtime database migrations to cloud warehouses

🤖 AI & LLM Integration

Production-ready AI systems with cutting-edge models:

- LangChain: Build agents, workflows, and chains with LangGraph automation
- RAG Systems: Vector embeddings and semantic search for intelligent retrieval
- Models: Claude (Anthropic), GPT-4 (OpenAI), DeepSeek, Llama 3, Hugging Face
- Observability: LangSmith and Langfuse for monitoring and debugging
- APIs: AWS Bedrock, Azure OpenAI, Anthropic Claude integration
- Fine-tuning: Custom model training for domain-specific tasks

Use Cases: AI chatbots, document analysis, content generation, automation

🕷️ Web Scraping & Data Extraction

Extract structured data from complex websites:

- Platforms: Facebook, TikTok, LinkedIn, Shopify, HubSpot, QuickBooks, SaaS platforms
- Tools: Scrapy, Playwright, Selenium, Puppeteer, BeautifulSoup, Crawl4AI
- Anti-Bot: Resolve Cloudflare, Captcha, rate limiting with proven techniques
- Automation: Scheduled scraping with monitoring and proxy rotation
- Output: Clean CSV, JSON, SQL databases, or API integration

☁️ Cloud Architecture & DevOps

Scalable cloud infrastructure and deployment:

- AWS: Lambda, ECS Fargate, Glue, Athena, Redshift, EventBridge, SNS, SQS, EMR
- GCP: BigQuery, Cloud Run, Dataflow, Dataproc, Cloud Storage, Firestore
- Azure: Data Factory, Power BI, Databricks, Blob Storage, Cosmos DB
- DevOps: Docker, Kubernetes, Terraform, GitLab CI/CD, GitHub Actions
- Monitoring: CloudWatch, Datadog, Prometheus, Grafana

💻 Core Technologies:
- AI & ML: LangChain, LangGraph, OpenAI API, Claude API, DeepSeek, Llama, Hugging Face, RAG, vector embeddings, AI agents, multi-agent systems
- Frontend: Next.js, React.js, TypeScript, Tailwind CSS
- Backend: FastAPI, Flask, Django, Node.js, Express.js, GraphQL
- Databases: Pinecone, Milvus, ChromaDB, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, DynamoDB
- Big Data: Apache Spark, Kafka, Hadoop, Hive, Airflow, Dagster, DBT
- Scraping: Scrapy, Playwright, Selenium, Puppeteer, Crawl4AI
- Cloud: AWS, GCP, Azure, Digital Ocean
- DevOps: Docker, Kubernetes, Terraform, Git, CI/CD
- Languages: Python, SQL, JavaScript, TypeScript, R, Java, Bash
- Tools: Claude Code, Cursor, GitHub Copilot
- Management: Agile, Scrum, Waterfall, JIRA, Trello

✅ Why Hire Me:

- Fast Delivery: AI-assisted development for 2-3x faster results
- Production Quality: Clean, documented, maintainable code
- Top Rated Plus: 100% Job Success Score, 5+ years experience
- Full-Stack: Handle frontend, backend, database, and deployment
- Clear Communication: Regular updates and transparent workflow

Let's build your AI solution. Message me to discuss your project!

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

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