You will get Integrate ETL Workflows, Pipelines in DataWarehouse with BigQuery, AWS Glue
Top Rated
Top Rated
Project details
I will provide services for Data Engineering, ETL (Extract, Transform, Load) processes, and data pipeline creation using Python, and Pyspark, specifically for data warehouses in AWS and Azure Cloud.
1: ETL Workflow Design & Optimization: ETL processes to manage data extraction, transformation, and loading to ensure data integrity and optimize.
2: Data Pipeline Automation: Implementing automated data pipelines to streamline data flow from source to databases, ensuring timely data updates and reducing manual overhead.
3: Data Warehousing with BigQuery: Google Cloud's BigQuery for scalable, serverless data warehousing solutions that enable fast SQL queries and real-time analysis datasets.
Offering services
• ETL
• AWS Glue
• Data Pipeline Creation
• Cloud Integration
• Database Connectivity
• Support and Maintenance
• Analytical services
• ETL workflows integration
• Data pipeline optimization
• BigQuery data warehousing
I would be happy to discuss the project with you in more detail and answer any questions you have. Please feel free to send me a message.
1: ETL Workflow Design & Optimization: ETL processes to manage data extraction, transformation, and loading to ensure data integrity and optimize.
2: Data Pipeline Automation: Implementing automated data pipelines to streamline data flow from source to databases, ensuring timely data updates and reducing manual overhead.
3: Data Warehousing with BigQuery: Google Cloud's BigQuery for scalable, serverless data warehousing solutions that enable fast SQL queries and real-time analysis datasets.
Offering services
• ETL
• AWS Glue
• Data Pipeline Creation
• Cloud Integration
• Database Connectivity
• Support and Maintenance
• Analytical services
• ETL workflows integration
• Data pipeline optimization
• BigQuery data warehousing
I would be happy to discuss the project with you in more detail and answer any questions you have. Please feel free to send me a message.
Database Type
MySQL, MS SQL, MS Access, Oracle, SQLite, PostgreSQL, MongoDB, Azure Cosmos DBWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 3 days
- Number of Revisions 3
- Number of Tables Added 10
- Schema Diagram
- Import/Export Data
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Table Added
+$10
Permissions
+$20
Admin Panel Setup
+$100
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KL
Krezelle L.
Oct 13, 2025
Financial Analyst (Accounting + Data Analytics)
RR
Ruby R.
Apr 7, 2025
Project code Review help
Muhammad Saad delivered good work and provided the corrected code as agreed
RR
Ruby R.
Mar 3, 2025
Big data querying
Saad delivered good work on this Big Data / SQL development project. I am very impressed with Saad quick turn around on the project and his technical skills. Saad met all deadlines. We will use Saad services again in our future projects.
Ruby
Ruby
VK
Vinayaka Turuvekere K.
Feb 18, 2025
Google Cloud Consultation
Muhammad provided valuable insights into the architecture of our data platform. His ability to analyze the system and identify key areas for improvement was incredibly helpful. He demonstrated strong technical understanding and contributed to enhancing the platform's overall design. His feedback has been instrumental in refining the architecture and ensuring we’re on the right track. I greatly appreciate his support and look forward to collaborating with him again in the future.
SK
Sulayman K.
Mar 3, 2024
You will get Google Cloud Solutions: BigQuery, Cloud Functions, VM Setup, Integration
About Muhammad
Data Engineer | ETL Automation | Data Analytics & Reporting | GCP, AWS
100%
Job Success
Islamabad, Pakistan - 1:07 am local time
I am a Data Engineer with 5+ years of experience helping businesses get more value from their data.
I build systems that collect, clean, and organize data so teams can make better decisions. I work with tools like Python, SQL, PySpark, and cloud platforms like AWS and Google Cloud. I have also built web applications, custom business management systems (ERP), and automated workflows for various clients.
One of my biggest strengths is automation. I have built solutions that remove repetitive manual work from daily business tasks - saving teams up to 90% of their time, with results that last.
Whether you need automated workflows, a data pipeline, a reporting dashboard, or a smarter way to run your operations, I can help you build it - clearly, efficiently, and built to grow with your business.
My Experience & Projects:
⭐ Financial Analyst (Accounting + Data Analytics)
- Built monthly financial reporting systems (Accounting reports, Reconciliation reports, revenue reports)
- Designed reconciliation systems for Accounts portfolios, arrears, and repayment tracking.
⭐ ETL Pipelines & Automation
- Built and optimized end-to-end ETL pipelines for reporting and analytics
- Automated reporting workflows and reduced manual effort by up to 90%
- Worked with data from APIs, databases, CSV/JSON files, and external systems
⭐ Data Warehousing (BigQuery & SQL Server)
- Designed scalable data models for BigQuery and SQL Server
- Developed Google Cloud Functions for automated workflows
- Integrated Google Ads, Meta, DV360, CM360, Taboola for campaign analytics
- Built pipelines for marketing and advertising data insights
⭐ ERP & Application Development
- Worked on ERP and backend systems with data-driven architecture
- Developed Health Information Management Systems (HIMS)
⭐ Expertise:
✅ Data Engineering & ETL Pipelines
- Build ETL workflows using Python, PySpark, and SQL Script.
- Design data ingestion pipelines for integration with BigQuery, PostgreSQL, MongoDB, and analytics database
- Automate data processes with Apache Airflow, and cloud-native tools (GCP/AWS).
- Implement future-proof automation solutions to address clients' business problems that saved 90% of manpower.
✅ Custom ERP & Business Solutions
- Develop custom ERP systems to streamline operations, data management, and productivity.
- Devised solutions to technical challenges and optimized the deployment process in collaboration with end clients.
✅ Full-Stack Web Development
- Build intuitive, user-centric web applications with React, JavaScript, HTML/CSS (front-end) and Django, Node.js (back-end).
- Develop secure, scalable APIs (Python/Node.js) for microservices and system integration.
✅ Data Visualization & BI Reporting
- Develop compelling dashboards using Power BI and Looker Studio.
- Transform complex data into actionable BI for stakeholders.
✅ Cloud-Based Solutions
- Extensive experience with Google Cloud Platform (GCP) – including Cloud Functions, Firebase, BigQuery, and Looker Studio – as well as AWS EC2, ECS, Lambda functions and DynamoDB.
⭐ Skills & Technologies
✔ Programming: Python, SQL, PLSQL, JavaScript, HTML/CSS, PySpark, R
✔ Cloud Platforms: Google Cloud (GCP), AWS
✔ Data Tools: Apache Airflow, MLflow, Docker.
✔ Data Visualization: Power BI, Looker Studio, D3.js
✔ Databases: MySQL, MongoDB, SQLite, Oracle, PostgreSQL, BigQuery
✔ Frameworks: Django, Flask, React, Node.js
✔ Version Control & Automation: Git, GitHub, Jenkins, Docker
By partnering with me, you're not just hiring a Developer - you're gaining a strategic ally committed to solving your business challenges with innovative, data-driven solutions. I prioritize building reliable, secure, and scalable web application that empower your business to grow and succeed.
If you're looking for an expert who can handle everything from building complex data pipelines to developing seamless web applications, let's collaborate to achieve your business goals.
Feel free to reach out, and let's discuss how I can contribute to your success!
Thank you,
Muhammad Saad
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.
ETL
- Automate: Use AWS Glue to automate the ETL process so that it can be run on a schedule. - Loading: Load the data from the AWS RDS database to the AWS Glue Data Catalog - Data analytics: Perform data analysis.