You will get a cloud data migration from legacy systems to Snowflake or Redshift
Project details
You will get a seamless, secure, and fully optimized cloud data migration with zero data loss, delivered by an experienced cloud architect with expertise in AWS, Azure, and GCP.
With over 5 years in cloud data engineering, I specialize in moving complex datasets, databases, and data warehouses to modern cloud environments. Whether you are migrating to AWS S3/RDS, Azure Data Lake, or Google BigQuery, I handle everything from planning to final deployment.
Here is what sets my service apart:
• End-to-end migration from discovery to post-migration validation
• Zero data loss guarantee with integrity checks and reconciliation reports
• Compliance-ready migrations (GDPR, HIPAA, SOC2)
• Optimized pipelines using AWS Glue, Azure Data Factory, Apache Spark, or dbt
• Full documentation and knowledge transfer included
I genuinely care about your data and business continuity. I have migrated petabytes of data for startups and enterprises alike, bringing the same dedication to every project. You will always know where things stand, and I will be available throughout to answer your questions.
With over 5 years in cloud data engineering, I specialize in moving complex datasets, databases, and data warehouses to modern cloud environments. Whether you are migrating to AWS S3/RDS, Azure Data Lake, or Google BigQuery, I handle everything from planning to final deployment.
Here is what sets my service apart:
• End-to-end migration from discovery to post-migration validation
• Zero data loss guarantee with integrity checks and reconciliation reports
• Compliance-ready migrations (GDPR, HIPAA, SOC2)
• Optimized pipelines using AWS Glue, Azure Data Factory, Apache Spark, or dbt
• Full documentation and knowledge transfer included
I genuinely care about your data and business continuity. I have migrated petabytes of data for startups and enterprises alike, bringing the same dedication to every project. You will always know where things stand, and I will be available throughout to answer your questions.
Database Type
MySQL, MS SQL, Oracle, PostgreSQLWhat's included
| Service Tiers |
Starter
$150
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 3 | 5 |
Number of Tables Added | 10 | 30 | 50 |
Schema Diagram | |||
Permissions Setup | - | ||
Import/Export Data | |||
Admin Panel Setup | - | - |
Optional add-ons
You can add these on the next page.
Additional Table Added
(+ 3 Days)
+$30
Data backup before migration
(+ 3 Days)
+$30
Post-migration support (7 days)
(+ 7 Days)
+$50
Rollback plan setup
(+ 5 Days)
+$50Frequently asked questions
About Hamna
AI Data Engineer | Building Production-ready AI Data Infrastruture
Bahawalpur, Pakistan - 10:57 am local time
𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲
• Modern Data Lakehouses: Designing multi-tier architectures using Databricks, Snowflake, and Apache Iceberg to support both BI and AI workloads.
• High-Scale Pipelines: Building robust ETL/ELT workflows with PySpark, ADF, AWS Glue, and Airflow, incorporating CDC (Change Data Capture) and real-time streaming.
• Data Modeling & Governance: Implementation of Star/Snowflake schemas, SCD Type 2 tracking, and enterprise-grade governance via Unity Catalog or Lake Formation.
• Optimization: Advanced Spark tuning, query optimization, and infrastructure cost-performance balancing.
🤖 AI & LLM Development: I build LLM agents with multi-turn state using LangChain and LangGraph — the kind that run in production on Telegram, Discord, and WhatsApp. For knowledge retrieval I work with RAG pipelines backed by Qdrant and LLaMA-Index, with real semantic search over internal documents. Prompt engineering is a proper workflow here — evaluation frameworks, LangSmith observability, structured output validation. I integrate agentic workflows through API (OpenAI, Claude, Anthropic, Gemini) with full output control.
☁️ Cloud & Infrastructure: I work with the full AWS stack in production — S3, SQS, Lambda, Athena, DynamoDB, EKS, Kinesis, Bedrock, CloudFront, also Docker, Kubernetes (Helm + ArgoCD), and Terraform for reproducible infrastructure as code. Observability built in Datadog APM, OpenTelemetry, Sentry, and vector database management with Qdrant and AWS OpenSearch for semantic search and RAG retrieval.
🧭 When you choose me, you get a clear roadmap:
- Consultation — I start by understanding your request, goals, and constraints before we start
- Honest scoping — based on your needs I give you a real estimate with clear timelines
- Full transparency — Agile workflow, regular meetings, and open communication at every step of the process
- Clean delivery — proper documentation and handoff, so you truly own what I build
- Support from idea to launch — I stay in contact after delivery, and stay involved as long as you needed
📩 Ready to get started? Contact me — I respond fast.
Buzz words: Java JavaScript Python PHP API Web Development Node.js Android API Integration React Android App Development HTML MySQL Mobile App Development Amazon Web Services RESTful API Artificial Intelligence Web Application HTML5 CSS Spring Boot C++ iOS C# Smartphone Machine Learning AI Agent Development AI Development PostgreSQL AI App Development Data Scraping Data Science Automation Deep Learning AI Model Integration TensorFlow Django Natural Language Processing Claude Chatbot Development API Development TypeScript n8n OpenAI API AI Bot Full-Stack Development FastAPI Docker Next.js LLM Prompt Engineering Data Mining Computer Vision SaaS LangChain Software Architecture & Design Data Extraction Database Architecture SQL Lead Generation Vector Database Web Scraping Java Spring Boot Spring Framework Microservices Cloud Architect Terraform Apache Kafka Auth0 OAuth 2.0 JWT SSO Hibernate JPA JUnit Mockito Testcontainers Maven Gradle GitLab CI/CD Jenkins BitBucket Pipelines Stripe API GraphQL gRPC Java 21 AWS Lambda AWS ECS AWS API Gateway Web Platform Backend Architecture AI Integration
Steps for completing your project
After purchasing the project, send requirements so Hamna can start the project.
Delivery time starts when Hamna receives requirements from you.
Hamna works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Assessment
Analyze current infrastructure, data sources, and migration goals to create a tailored cloud migration strategy and architecture plan.
Data Migration Planning & Design
Design migration architecture, define data pipelines, set up target cloud environment, and establish security and compliance controls.