I will build cloud data engineering etl pipelines using AWS, gcp, or azure

Looking for an expert Cloud Data Engineer to build reliable ETL pipelines and scalable data solutions? You are in the right place.

I specialize in designing and developing modern cloud data engineering solutions using AWS, Azure, and GCP. I can help you build automated ETL pipelines, cloud-based data warehouses, big data processing systems, and scalable analytics architectures for your business or startup.

My Services Include:

ETL Pipeline Development

AWS Glue, Lambda, S3, Redshift

Apache Spark & PySpark Processing

Airflow Workflow Automation

Snowflake & BigQuery Integration

Azure Data Factory Pipelines

Data Migration & Transformation

Data Lake & Lakehouse Architecture

SQL & DBT Data Modeling

API to Database Integration

Real-Time & Batch Data Pipelines

Cloud Data Warehousing Solutions

Why Choose Me?

Fast response & communication

Scalable and optimized solutions

Clean architecture & documentation

Secure cloud deployment practices

Flexible revisions & support

Experience with modern data engineering tools

Technologies I Work With:

AWS | Azure | GCP | Apache Spark | Airflow | Snowflake | BigQuery | DBT | Python | SQL | Kafka | Hadoop | Databricks