You will get Comprehensive Data Engineering Solutions.
Project details
Embark on a transformative journey with my data engineering expertise, specializing in Azure and AWS environments. I bring a comprehensive approach to handling your data, from setting up optimized cloud infrastructure to implementing advanced ETL processes and real-time analytics. My goal is to not only meet industry standards but to align our solutions precisely with your unique business needs.
Key Offerings:
End-to-End Data Solutions:
From initial setup to advanced processing, our services cover the entire data engineering spectrum.
Cloud Infrastructure Optimization:
Harness the power of Azure and AWS with our expertise in configuring and optimizing cloud infrastructure for maximum efficiency.
Advanced Data Modeling:
Drive insights with our advanced data modeling and architecture tailored to your business objectives.
I prioritize collaboration, working closely with your team to understand your goals and deliver solutions that matter.
Embrace the latest technologies for innovative, efficient data engineering that drives tangible results.
Key Offerings:
End-to-End Data Solutions:
From initial setup to advanced processing, our services cover the entire data engineering spectrum.
Cloud Infrastructure Optimization:
Harness the power of Azure and AWS with our expertise in configuring and optimizing cloud infrastructure for maximum efficiency.
Advanced Data Modeling:
Drive insights with our advanced data modeling and architecture tailored to your business objectives.
I prioritize collaboration, working closely with your team to understand your goals and deliver solutions that matter.
Embrace the latest technologies for innovative, efficient data engineering that drives tangible results.
What's included
| Service Tiers |
Starter
$45
|
Standard
$70
|
Advanced
$120
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 2 | 3 | 5 |
Number of Graphs/Charts | 3 | 8 | 10 |
Number of Scenarios | 2 | 3 | 5 |
Number of Model Variations | 2 | 2 | 3 |
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Model Validation/Testing |
Frequently asked questions
About Muhammad
Data Engineer
Rawalpindi, Pakistan - 10:14 pm local time
Aws Data engineering :-
✅ Designing end-to-end Aws serverless data pipeline and data warehouse using aws component.
✅ Responsible for maintaining quality data in data warehouse by performing operations such as cleaning, transformation and ensuring Integrity by working closely with the stakeholders and solution architect
✅ Implementing different data pipeline layers like building ingestion layer, transformation layer and consumption layer.
✅ Implementing delta lake for different business use case
✅ Developed reusable framework to be leveraged for automated ETL from RDBMS systems or s3 file path to the Data Lake utilizing Spark Data Sources and config file.
✅ Implemented AWS Step Functions to automate and orchestrate the end-to-end pipeline
TECHNICAL SKILLS
✨ Data Visualization Tools: Power BI, Tableau, AWS QuickSight
✨ Scripting-Languages: Shell Scripting, Python, Spark
✨ Aws component: Aws S3, Lambda, EC2, RDS, Athena, glue, QuickSight, cloudwatch, DMS etc.
✨ Database: Oracle 11g, postgres
Get in touch today to let me know what you need. I’m happy to outline how to get there.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discovery and Analysis:
Conduct a thorough analysis of the client's business objectives, current data infrastructure, and specific requirements to define the scope of the project.
Requirement Gathering:
Collaborate closely with the client to gather detailed information, including data sources, formats, security requirements, and any other critical aspects.