I will build scalable data platform solutions using spark, airflow, dbt
About this Gig
Are you drowning in raw data but thirsty for insights? I provide professional Data Engineering and Analytics services to help you transform messy datasets into high-performance, automated pipelines.
Whether you need a quick analysis in PySpark or a full-scale OLAP architecture, I build robust systems that grow with your business.
What I Offer:
- Data Analysis: High-speed processing and insights using PySpark.
- ETL/ELT Development: Designing efficient workflows to move and transform your data.
- Automated Orchestration: Using Apache Airflow to ensure your data is always fresh and reliable.
- Modern Data Stack: Expertise in dbt (Data Build Tool) for modular SQL modeling and Google BigQuery for cloud warehousing.
- Streaming & Batch: Real-time or batch processing via Apache Flink and Spark.
FAQ
What do I need to provide to get started?
To begin, I’ll need access to your data source (or a sample schema), a clear description of your business logic/transformation requirements, and access to the target environment where the pipeline will be built.
Do you provide documentation for the pipelines you build?
Yes! Especially in the Premium package, I provide comprehensive documentation covering the architecture, data lineage (using dbt), and instructions on how to maintain or trigger the workflows.
Can you handle real-time data streaming?
Absolutely. Using Apache Flink or Kafka Streams, I can build low-latency pipelines for real-time analytics. Please message me first if your project requires sub-second processing so we can discuss the infrastructure.
Is my data secure with you?
Security is my top priority. I prefer to work within your existing infrastructure via IAM roles or service accounts with "Least Privilege" access. I never store your sensitive data on my personal devices.
What happens if a pipeline breaks after the order is complete?
I build "resilient" ETL, ELT pipelines with built-in error handling and alerting (via Airflow). I also offer a post-delivery support period (depending on the package) to ensure everything is running smoothly and to fix any initial bugs.

