I will build scalable etl data pipelines with sql, python, spark, and airflow
Expert Data Engineer, ETL Pipelines, SQL, Cloud Data Warehousing
About this Gig
I will design and build ETL data pipelines using Python, SQL, Apache Spark, Airflow, and dbt. Services include database design, data cleaning, automation, and cloud deployment (AWS, GCP, Azure). Whether you need a simple script, an automated workflow, or a full cloud data pipeline, I deliver scalable and reliable solutions tailored to your business.
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FAQ
Which tools and technologies do you use?
I work with Python, SQL, Apache Spark, Airflow, dbt, AWS Glue, Redshift, GCP BigQuery, and Azure Data Factory. I will choose the right stack based on your project requirements.
Can you handle multiple data sources?
Yes, I can integrate data from multiple sources such as Excel, APIs, databases, and cloud platforms into a single pipeline or warehouse.
How do you ensure data security?
I follow best practices for data handling, use secure connections, and never share or store your data outside your environment.
Do you provide post-delivery support?
Yes, Basic includes 1 week, Standard includes 2 weeks, and Premium includes 1 month of support for bug fixes and minor adjustments.
