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$
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I will build scalable data pipelines etl and modern data engineering solutions
United Kingdom
I speak English, Spanish, French, German, Italian, Dutch, Urdu, Chinese, Japanese
Build Scalable Data Pipelines and Modern Cloud Data Platforms
I’m Susan, a Data Engineering and Modern Data Platforms Specialist and Consultant. I build scalable data pipelines, ETL/ELT, data warehouses, data lakes, lakehouses, cloud data platforms, data integra...
About this Gig
Need reliable data pipelines that turn raw data into clean, usable insights?
I'm Susan, a Data Engineering specialist helping businesses build scalable, automated and production-ready data solutions.
WHAT I'LL BUILD:
- Scalable ETL/ELT data pipelines
- Data integration & automated workflows
- Python & SQL data engineering
- Data ingestion, transformation & validation
- Data warehouse & data lake pipelines
- Batch data processing & pipeline automation
- Airflow, Spark, dbt and modern data stack solutions
- Cloud-ready data engineering for AWS, Azure & GCP
WHY WORK WITH ME?
You get clean, reliable and maintainable data pipelines designed around your business requirements not generic solutions.
Whether you need an ETL pipeline, data integration, data migration, analytics-ready data or a modern data engineering solution, I'll help you build a scalable foundation.
Send me your data sources, requirements or architecture, and lets build a reliable data pipeline that scales with your business.
CONTACT ME NOW!!!!
FAQ
Can you build a scalable data pipeline for my business?
Yes. I build scalable ETL/ELT data pipelines for databases, APIs, files and cloud platforms using Python, SQL and modern data engineering tools. Your pipeline can include data ingestion, transformation, validation, automation and monitoring.
What is included in your ETL and data engineering service?
I can handle data extraction, ETL/ELT, data integration, transformation, validation, automation and pipeline orchestration. I can also connect your sources to a data warehouse, data lake or cloud data platform.
Can you build ETL pipelines using Python and SQL?
Yes. I use Python and SQL to build reliable ETL/ELT pipelines, automate data workflows, transform datasets and prepare clean, analytics-ready data for warehouses, lakes and modern cloud platforms.
Can you integrate APIs, databases and multiple data sources?
Yes. I can integrate APIs, SQL/NoSQL databases, CSV/Excel files and cloud data sources into automated data pipelines, creating a reliable flow of clean and structured data for analytics and reporting.
Can you use Airflow, Spark, dbt or other data engineering tools?
Yes. Depending on your requirements, I can use Apache Airflow, Spark, PySpark, dbt and other modern data engineering tools for pipeline orchestration, transformation, automation, testing and scalable data processing.
Can you build cloud data pipelines for AWS, Azure or GCP?
Yes. I can design cloud-ready data pipelines for AWS, Azure and Google Cloud, including data ingestion, ETL/ELT, transformation, integration and analytics workflows based on your architecture and business needs.
Can you connect my data pipeline to Snowflake, BigQuery or Databricks?
Yes. I can build pipelines that load and transform data for modern platforms such as Snowflake, BigQuery and Databricks, helping create scalable, centralized and analytics-ready data environments.
Can you automate and optimize an existing data pipeline?
Yes. I can review your existing ETL/data pipeline, identify bottlenecks and improve automation, reliability, performance and data quality. Send your current workflow and requirements for a tailored solution.
