Taueeq M.

Taueeq M.

Kuala LumpurMalaysia

GCP ETL | Data Visualization, GA4, Data Studio, Big Data, BigQuery

I'm a Google Cloud Platform developer with experience developing business solutions for small, medium, and large enterprises. With these activities, I will help your business expand by using multiple Google cloud technologies for data integration and transformation using BigQuery, Apache Airflow Spark execution on Dataproc, pipeline graphs in Cloud Data Fusion, and serverless data processing with Dataflow. - Create a complete Data Studio dashboard from various sources Google Analytics GA4, Facebook, - Data migration to Google Cloud from on-premise MySQL and Hadoop/Pig/Spark/Hive workloads using Pub/Sub and Dataproc. - Using Cloud Storage to create data lakes and BigQuery on GCP to create data warehouses. - Using Data Fusion and Cloud Composer to create and manage streaming data pipelines. - Create an auto-scaling streaming data pipeline for ingesting, processing, and visualizing data on a dashboard.
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Taueeq M.

Taueeq M.

Kuala LumpurMalaysia
1
Total Jobs
28
Total Hours

GCP ETL | Data Visualization, GA4, Data Studio, Big Data, BigQuery

Specializes in
I'm a Google Cloud Platform developer with experience developing business solutions for small, medium, and large enterprises. With these activities, I will help your business expand by using multiple Google cloud technologies for data integration and transformation using BigQuery, Apache Airflow Spark execution on Dataproc, pipeline graphs in Cloud Data Fusion, and serverless data processing with Dataflow. - Create a complete Data Studio dashboard from various sources Google Analytics GA4, Facebook, - Data migration to Google Cloud from on-premise MySQL and Hadoop/Pig/Spark/Hive workloads using Pub/Sub and Dataproc. - Using Cloud Storage to create data lakes and BigQuery on GCP to create data warehouses. - Using Data Fusion and Cloud Composer to create and manage streaming data pipelines. - Create an auto-scaling streaming data pipeline for ingesting, processing, and visualizing data on a dashboard.
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More than 30 hrs/week