iShan Consulting LLC designs, modernizes, and validates large-scale data systems across Azure and AWS — turning fragile legacy pipelines into resilient, cloud-native infrastructure.
Every engagement is scoped, documented, and validated — so the systems we build hold up long after handoff.
End-to-end environment provisioning, pipeline design, and schema mapping within Azure Data Factory, Synapse Analytics, and enterprise cloud data lakes.
Refactoring legacy computing tasks into native AWS data flows, optimizing cluster runtimes, and securing elastic storage tier configurations.
Systematic code refactoring to diagnose execution bottlenecks, resolve severe memory limitations, and ensure 100% data integrity validation across target systems.
We don't improvise on production data. Each project follows a repeatable framework refined across complex enterprise migrations.
We map every job, dependency, and data flow before touching a line of code — so nothing breaks in silence.
Target architecture, schema mapping, and orchestration are documented and reviewed against your standards.
Pipelines are built incrementally in tested, reviewable increments — never a risky big-bang cutover.
Row-level reconciliation and integrity checks confirm the new system matches the old, exactly.
We don't claim a migration is done until row counts, checksums, and business logic reconcile against the source. Trust is earned in the validation step.
You work directly with an engineer who has lived in production data systems — not a layer of account managers between you and the work.
Every engagement leaves behind clear documentation — architecture, decisions, and runbooks your team can own long after we're gone.
Representative outcomes from data modernization engagements.
Row-level reconciliation across migrated tables — zero discrepancies between legacy and modern targets.
Validated platform migration outcome.
Bottleneck diagnosis and refactoring cut execution times and memory pressure on critical jobs.
Validated platform migration outcome.
A structured, automated methodology compresses delivery timelines without cutting corners.
Validated platform migration outcome.
"iShan's lead architect brought multi-terabyte data warehouse experience to our core transformation projects, consistently identifying hidden schema anomalies and ensuring flawless quality across systems processing billions of operational records."
"iShan's core architectural frameworks proved crucial for our legacy platform migrations. Complex data pipeline modernization initiatives were completed strictly on time with minimal rework and absolute structural alignment."
Enterprise data and cloud work — Azure and AWS platform architecture, legacy ETL modernization, pipeline performance tuning, and data migration projects where integrity matters.
Yes. We frequently augment internal teams, leaving behind documentation and runbooks so your engineers can own and extend the systems we build.
Validation is a first-class phase, not an afterthought. We reconcile row counts, checksums, and business logic against the source system before any project is considered complete.
With a short consultation to understand your systems and goals, followed by a discovery phase that maps your current state before any build work begins.
Tell us what you're working on and what's getting in the way. Reach our technical architecture office directly, or use the secure form.