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I will migrate SAS code to python pyspark and azure databricks
Senior Data Engineering and Analytics Expert
I’m a Senior Data Engineering & Analytics professional with 15+ years of experience delivering enterprise data solutions. I specialize in SAS modernization, Python, PySpark, SQL, Azure Databricks, ETL...
About this Gig
Do you have legacy SAS programs that need to be modernized to Python, PySpark, or Azure Databricks?
I will migrate and modernize SAS code into clean, maintainable, and scalable solutions while preserving business logic and validating key results.
I can help with:
- SAS DATA steps to Python/Pandas or PySpark
- PROC SQL to SQL or Spark SQL
- SAS macros to reusable Python/PySpark functions
- Joins, aggregations, transformations, and business rules
- SAS ETL/ELT workflows to modern data pipelines
- Databricks and Delta Lake-ready modernization
- Validation and reconciliation
My approach
I focus on more than syntax conversion. I understand the SAS business logic, translate it into an appropriate modern implementation, and validate the migrated logic for consistent and explainable results.
I bring extensive experience with SAS, SQL, Python, PySpark, ETL/ELT, analytics, data engineering, and cloud data platforms.
Before ordering: Please contact me for complex or production projects and share a representative SAS code sample, target platform, expected outputs, and validation requirements.
Expertise:
Monitoring & Logging
•
Automation
•
Other
Cloud provider:
Microsoft Azure
FAQ
FAQ 1 — What types of SAS code can you migrate?
I can migrate SAS DATA steps, PROC SQL, joins, aggregations, transformations, business rules, macros, and ETL/data-processing workflows. Complex programs or statistical procedures should be reviewed before ordering.
FAQ 2 — Can you convert SAS macros to Python or PySpark?
Yes. Depending on the macro logic, I can redesign it using reusable Python/PySpark functions, parameters, configuration-driven processing, or other appropriate patterns while preserving the business logic.
FAQ 3 — Can you validate the migrated results against SAS?
Yes. Validation can include row counts, aggregates, KPI totals, missing values, duplicates, business rules, and output reconciliation, depending on the selected package and available reference data/results.
FAQ 4 — Can you migrate SAS code to Azure Databricks?
Yes. I can modernize suitable SAS processing using PySpark, Spark SQL, Delta Lake, and Databricks-ready patterns. Deployment to your actual environment depends on the agreed scope and available access.
FAQ 5 — Do you need access to my SAS or Databricks environment?
Not always. For many projects, SAS code, representative sample data, expected outputs, and technical requirements are sufficient. Environment access can be discussed if implementation or testing requires it.
FAQ 6 — Can you migrate multiple or large SAS programs?
Yes. Please contact me before ordering. Larger projects may include macros, dependent programs, libraries, databases, external files, or scheduling logic and may require a custom offer.
FAQ 7 — How do I know which package to select?
Package selection depends on code size and complexity, macros, dependencies, target technology, validation, and documentation requirements. Send me a representative SAS sample if you are unsure, and I can recommend the appropriate package.
