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$
USD
I will build end to end data engineering pipelines
About this Gig
Stop struggling with messy data and slow pipelines.
If you need a production-grade Azure Data platform that turns raw chaos into business-ready insights, you are in the right place. I am Soban, an Azure Data Engineer specializing in scalable, automated ETL/ELT solutions.
My Tech Stack: Azure: Data Factory (ADF), Synapse, Logic Apps Databricks: PySpark, Delta Lake, Spark SQL Storage: ADLS Gen2, SQL DB, Blob Storage
What I Deliver:
- End-to-End ETL/ELT: Automated ingestion from APIs, SQL, CSV, or Cloud Storage.
- Medallion Architecture: Bronze Silver Gold layers for maximum data quality.
- Data Modeling: Optimized Star/Snowflake schemas (Fact & Dimension tables).
- Performance Tuning: Incremental loads and optimized PySpark scripts to save Azure costs.
- Clean Data: Rigorous validation and quality checks for reliable BI reporting.
Why choose me? I dont just write scripts; I build scalable architectures. You get clean, documented, and production-ready pipelines designed for real-world business decisions.
PLEASE MESSAGE ME BEFORE ORDERING. Let's discuss your requirements to ensure the best architecture for your budget!
Tools & Platforms:
Azure Data Factory
My Portfolio
Other Data Engineering Services I Offer
FAQ
Do you provide complete end-to-end data engineering solutions?
Yes. I can build the full pipeline from ingestion to transformation to final analytics-ready datasets, including orchestration and documentation.
Which tools and platforms do you work with?
I am a Azure Data Engineer so mainly work with Azure Data Factory, Databricks, Delta Lake, Synapse, Python, SQL, and PySpark.
Can you implement Medallion Architecture (Bronze/Silver/Gold)?
Yes. I implement Bronze → Silver → Gold layers using Delta Lake best practices for clean and scalable pipelines.
Do you support incremental loads and scheduling?
Yes. I build incremental pipelines and schedule automation using ADF and Databricks Jobs.
Do you need access to my Azure environment?
If possible, yes (limited access is fine). If you prefer, we can also work with sample data or a shared dataset first.
What if my project is bigger than your packages?
No problem. Message me and I’ll create a custom offer based on your scope and timeline.
