You will get Web Application for brand & ETL Process & Data Process
Project details
Power of data engineering and web applications, cloth businesses can unlock valuable insights, streamline operations, and enhance customer experiences. A robust ETL process ensures efficient data collection, transformation, and loading, while a user-friendly web application provides real-time analytics, personalized recommendations, and seamless online shopping. By embracing a data-driven approach, cloth businesses can make informed decisions, improve inventory management, and ultimately drive growth and profitability.
Programming Languages
HTML & CSS, Python, FlashWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 3 days | 10 days |
Number of Revisions | 0 | 0 | 0 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $290About Vetri
Data Engineer / On Premise to Azure Cloud Migration / Azure Lake
Kanchipuram, India - 8:30 am local time
Hourly rate: Flexible
Personal skills
I’m a quality-focused and hands-on data engineer who enjoys building strong, reliable data systems. I like simple, clear communication — I reply fast and keep things moving. If I see a better way to solve a problem, I’ll share it with you directly.
I’m also friendly and approachable — I like helping clients and teammates, and I always aim to deliver solutions that last long-term, not just quick fixes.
Technical Skills
—— Data Engineering
• Strong in Microsoft Power BI Fabric, Azure Data Factory, Power BI, Delta Live Table, and Synapse Analytic
• Google Cloud Platform Big Query, Pub/Sub
• Strong in Apache Airflow, Automation Data Pipelines, Snowflake Automation, Graph API, Microsoft Outlook Integrations.
• SQL (data modeling, transformations, optimizations), PostgreSQL
• On-premises to Azure Cloud
• ETL/ELT with Python, Databricks (Pyspark), DBT, Dagster, Airbyte and a lot of AWS services.
• Built simple web portals (Flask) for data access and reporting
• Expertise in Python: I ranked in the top 15% out of 1.5 million people on the LinkedIn Python assessment (see portfolio).
—— LLM Stacks
RAG, Conversional AI, Chatbot and Vector DB, Embedded Model
—— Cloud & DevOps
• AWS: Batch, Step Functions, Glue, Athena, Boto3, Lambda, S3, EC2, IAM, KMS, SQS, etc.
• Bash. Docker + ECS. CI/CD - Github actions. Terraform, SAM, CodePipeline.
Steps for completing your project
After purchasing the project, send requirements so Vetri can start the project.
Delivery time starts when Vetri receives requirements from you.
Vetri works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Consultation and Requirements Gathering to Deployment
will take step by step with below Initial Consultation and Requirements Gathering Project Planning and Scope Definition Design and Wireframing Development and Implementation Testing and Quality Assurance Deployment and Launch