Migrate legacy Unix KSH batch scripts with embedded Sybase SQL to cloud-ready Python with Oracle SQL — powered by a GenAI agentic pipeline with human-in-the-loop review gates, ensuring business logic fidelity and accurate SQL translation.
Legacy Unix KSH batch environments with embedded Sybase SQL present a growing modernization risk: rising maintenance burden, limited cloud compatibility, and a shrinking talent pool. Kumaran’s AI-powered migration practice converts these scripts to clean, modular Python with Oracle SQL — preserving 100% of business logic while adopting modern engineering standards.
A structured, AI-led framework that converts legacy KSH scripts and Sybase SQL to production-ready Python with Oracle SQL — faster and with greater accuracy than manual rewrites.
We inventory all Unix KSH scripts, extract embedded Sybase SQL statements, map inter-script dependencies, and assess complexity to scope the full conversion effort.
Throughout the process, converted Python jobs run in parallel with legacy KSH scripts. Output comparison gates ensure functional equivalence before any production cutover.
Kumaran combines enterprise engineering depth, AI-powered conversion, and human-in-the-loop validation to help organizations migrate legacy KSH environments to cloud-ready Python faster, safer, and with full business logic fidelity.
We deliver more than code conversion — we preserve business logic, validate SQL translation, and produce clean, modular Python your team can own long-term. Our GenAI agentic pipeline accelerates the conversion while human-in-the-loop review gates guarantee accuracy, backed by 3 decades of enterprise delivery across regulated industries.
Many providers can rewrite shell scripts. Few can preserve embedded SQL logic, validate output equivalence, and deliver cloud-ready modules your team can maintain for years. Kumaran delivers all three in one structured migration framework.
Everything you need to know about migrating Unix KSH scripts with Sybase SQL to Python with Oracle SQL.
Real engagements across data modernization, measured in accuracy, delivery speed, and business continuity.
Built a modular KTAC test automation framework that reduced test creation time by 70% and enabled 5× reuse across policy, claims, and billing modules — delivering consistent quality at scale.
Integrated KTAC’s API and mobile testing into the client’s CI/CD pipeline, achieving 3× release velocity with 95% suite stability across 400+ automated test scenarios.
Deployed DQV to validate a high-volume data migration involving 500+ tables across core banking systems — reconciling 100M+ rows per hour with 99.99% accuracy and zero data loss.
Configured DQV’s masking and synthetic data modules to ensure 100% PHI/PII coverage during testing, enabling audit-ready reporting with zero compliance exceptions across quarterly reviews.
Rolled out eTRK across 10,000+ users to provide real-time productivity tracking and team visibility — resulting in a 32% productivity lift and measurable improvements in resource utilization.
Talk to our data modernization experts about converting legacy KSH and Sybase SQL environments to cloud-ready Python with Oracle SQL.
