You will get End-to-End Digital Marketing Data Pipeline: From ETL to BigQuery Reporting
Top Rated
Project details
The project describes the following
Data Extraction with Google Cloud Functions
Leveraging Google Cloud Functions, I developed an automated ETL process to extract data from various advertising platforms, including Meta Ads, Google Ads, and LinkedIn Ads. This process involves utilizing their respective APIs to ensure efficient and real-time data ingestion.
Centralized Data Storage in Google BigQuery
All extracted data is ingested and stored in Google BigQuery, a robust and scalable data warehouse. This setup ensures centralized data storage, optimized for high-performance queries and analytics.
Data Transformation with Transform Views
Using BigQuery's powerful SQL capabilities, I created transformation views to process, clean, and aggregate the raw data into meaningful formats. These views are tailored to business needs, enabling accurate and actionable insights.
Reporting with Power BI and Looker Studio
The transformed data is visualized through interactive dashboards in Power BI and Looker Studio. These reporting tools provide stakeholders with real-time analytics and user-friendly interfaces for monitoring key metrics and campaign performance.
Data Extraction with Google Cloud Functions
Leveraging Google Cloud Functions, I developed an automated ETL process to extract data from various advertising platforms, including Meta Ads, Google Ads, and LinkedIn Ads. This process involves utilizing their respective APIs to ensure efficient and real-time data ingestion.
Centralized Data Storage in Google BigQuery
All extracted data is ingested and stored in Google BigQuery, a robust and scalable data warehouse. This setup ensures centralized data storage, optimized for high-performance queries and analytics.
Data Transformation with Transform Views
Using BigQuery's powerful SQL capabilities, I created transformation views to process, clean, and aggregate the raw data into meaningful formats. These views are tailored to business needs, enabling accurate and actionable insights.
Reporting with Power BI and Looker Studio
The transformed data is visualized through interactive dashboards in Power BI and Looker Studio. These reporting tools provide stakeholders with real-time analytics and user-friendly interfaces for monitoring key metrics and campaign performance.
Data Tool
Google Data StudioWhat's included
| Service Tiers |
Starter
$60
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 7 days |
Number of Revisions | 1 | 2 | 2 |
Number of Graphs/Charts | 0 | 1 | |
Number of Variations | 1 | 1 | 2 |
Data Source Connectivity | |||
Web Embedding | - | - | - |
Interactive/Animated Visuals |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$50
Additional Graph/Chart
(+ 1 Day)
+$35
Additional Variation
(+ 1 Day)
+$50
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MM
Majd M.
Dec 16, 2025
30 minute consultation
SH
Skye H.
Dec 5, 2025
Design Databricks Pipeline with Deltalake
JV
Jim V.
Aug 29, 2025
Google BigQuery SQL fixes for Looker Studio
He does a great job of solving problems and being flexible with the demands.
MR
Muhammad R.
Aug 16, 2025
Looker Studio Dashboard Fixed with Google BigQuery
Tayyab is highly skilled in Looker Studio. He quickly identified and fixed a complex JSON nesting issue in Google BigQuery that impacted Google Analytics data. His deep expertise and efficient approach ensured accurate reporting. I highly recommend working with him!
MS
Maaz S.
Jun 30, 2025
Improve GCP Functions & BigQuery Data Workflow
Tayyab has delivered exceptional results by expertly fixing JSON data from the API within Google Cloud Functions and seamlessly pushing it into the Google BigQuery table. He truly exemplifies the skill and creativity of a data artist.
About Tayyab
Data Engineer | Python | Azure | Databricks | Power BI | BigQuery |SQL
100%
Job Success
Karachi, Pakistan - 10:15 am local time
With 10+ years of hands-on experience as a Data Engineer, I specialize in Data Modeling, ETL/ELT Development, Data Warehousing, and Data Lakehouse solutions. I’ve successfully designed and developed 100+ dashboards using Power BI, Tableau, and Looker Studio. and created more than 20+ Data Warehouse during these 9 years of Data Engineering which includes Azure, GCP, AWS, Databricks, Snowflake, DBT and much more. My expertise extends into Machine Learning and Data Science, making me a one-stop solution for all your data needs.
Why Work with Me?
⭐ Over 50 clients with 5-star ratings
⏱ 3000+ hours logged on Upwork
My Expertise Includes:
✔ Google Cloud: Google Sheets, Analytics, Tag Manager, BigQuery, Cloud Function, Dataflow, Pub/Sub, Storage Bucket, Looker
✔ Microsoft Azure: Datalake Gen2, Blob Storage, Data Factory, Synapse, Analysis Services, SQL Data Warehouse, Event Hub, Databricks
✔ Microsoft: T-SQL, SSIS, SSAS, Power BI
✔ Amazon Web Services (AWS): S3, DynamoDB, Kinesis, RDS, Redshift, Glue, Lambda
✔ Other Tools: Databricks, Snowflake for Delta Lakehouse, DBT, SQL, Python
I’ve designed and implemented data architecture for Fortune 50 to 500 companies, providing customized solutions that meet complex data challenges.
If you're looking for a data expert to help transform your data into actionable insights, let’s connect! I'm just one message away and excited to work with you.
Steps for completing your project
After purchasing the project, send requirements so Tayyab can start the project.
Delivery time starts when Tayyab receives requirements from you.
Tayyab works on your project following the steps below.
Revisions may occur after the delivery date.
Data Extraction with Google Cloud Functions
Leveraging Google Cloud Functions, I developed an automated ETL process to extract data from various advertising platforms, including Meta Ads, Google Ads, and LinkedIn Ads
Centralized Data Storage in Google BigQuery
All extracted data is ingested and stored in Google BigQuery, a robust and scalable data warehouse.