S2X analyzes real-world SAS ETL — including heavy %macro and %include logic — to generate auditable Source-to-Target mappings and production-ready Python / PySpark code.
No toy examples. Real DATA step, PROC SQL, and macro-driven ETL — converted live.
From legacy SAS → Source-to-Target → production-ready Python / PySpark
Calculations, conditional logic, derived fields
→ S2T Mapping + Pandas + PySpark
Joins, aggregations, filters, calculated columns
→ S2T Mapping + Pandas + PySpark
Complex macro-driven ETL with expanded logic
→ S2T Mapping + Pandas + PySpark
55+ complex SAS programs (including macro-heavy ETL) converted in weeks — not 12+ months.
Delivered full Source-to-Target mappings and reusable transformation logic for enterprise ETL modernization in regulated industries.
Software division of STAT X1, Inc. (Sioux Falls, SD)
30+ years specialized experience in BASE SAS ETL, legacy modernization, and regulated industries.
Experience across IRS, healthcare, financial services, and large-scale enterprise ETL environments.
📧 Email: MikeKrizan@MicroZahn.com
📱 Phone: (612) 594-2954
🔗 LinkedIn: linkedin.com/in/mike-krizan-microzahn
📄 Master’s Capstone:
U.S. Health Insurance Cost Trends (2000–2023) [PDF]
🌐 GitHub: S2X Repository
Sioux Falls, SD
Want the full S2T + Python examples as PDFs?
Download them below or scan the QR on my card at SAS Innovate 2026.