You will get Automated ETL data transformation pipelines


Project details
Starter Package
Deliverables:
Single ETL pipeline (1 source 1 destination)
Basic data validation and error handling
Simple scheduling (daily/weekly)
Pipeline monitoring dashboard
Documentation and handover
Standard Package
Deliverables:
Upto 3 ETL pipelines with complex transformations
Advanced error handling and retry logic
Real-time and batch processing capabilities
Data quality checks and alerting
Performance optimization
Comprehensive testing and documentation
Custom Package
Deliverables:
Unlimited pipeline complexity and sources
Custom data connectors and APIs
Advanced orchestration with dependencies
Auto-scaling and cost optimization
Disaster recovery and backup strategies
Team training and ongoing maintenance plan
Deliverables:
Single ETL pipeline (1 source 1 destination)
Basic data validation and error handling
Simple scheduling (daily/weekly)
Pipeline monitoring dashboard
Documentation and handover
Standard Package
Deliverables:
Upto 3 ETL pipelines with complex transformations
Advanced error handling and retry logic
Real-time and batch processing capabilities
Data quality checks and alerting
Performance optimization
Comprehensive testing and documentation
Custom Package
Deliverables:
Unlimited pipeline complexity and sources
Custom data connectors and APIs
Advanced orchestration with dependencies
Auto-scaling and cost optimization
Disaster recovery and backup strategies
Team training and ongoing maintenance plan
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$2,100
|
|---|---|---|---|
| Delivery Time | 3 days | 3 days | 10 days |
Number of Pages Mined/Scraped | 5 | 10 | 100 |
Number of Sources Mined/Scraped | 1 | 3 | 10 |
Number of Revisions | 0 | 1 | 1 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Source Mined/Scraped
(+ 1 Day)
+$100
Additional Revision
+$50About Prashant
AWS Certified Data Engineering Expert | Scalable Data Solution|5+ Yrs
Templestowe Lower, Australia - 8:12 pm local time
🎯 What I Deliver:
Modern Data Platforms using AWS, Azure, and GCP
Real-time & Batch Data Pipelines
Infrastructure as Code with Terraform and CloudFormation
CI/CD Automation for seamless deployments
Data Migration & Legacy System Modernization
Machine Learning Pipeline Integration
🏆 Key Achievements:
Reduced video processing time by 65% through automated containerized solutions
Led $2M+ data platform implementations for major energy and banking clients
Engineered custom static analysis tools for complex data migration projects
Built secure, high-throughput data pipelines processing millions of records daily
Currently serving enterprise clients at a top-tier global consulting firm
💼 Industries Served:
Financial Services | Energy & Utilities | Healthcare | Public Sector | Technology
🛠️ Core Technologies:
Cloud Platforms: AWS, Azure, Google Cloud Platform
Languages: Python, Node.js, Java, SQL
Data Technologies: Databricks, Snowflake, Redshift, DynamoDB, MongoDB
DevOps: Terraform, Docker, Kubernetes, Jenkins, GitHub Actions
📜 Certifications:
AWS Machine Learning Specialist
Databricks Data Analyst Associate
Master of Science (Computer Science) - University of Melbourne
Steps for completing your project
After purchasing the project, send requirements so Prashant can start the project.
Delivery time starts when Prashant receives requirements from you.
Prashant works on your project following the steps below.
Revisions may occur after the delivery date.
Validate the source and target connections
Verify the transformations required