Sunil Aryal

Architected a Tableau-to-Databricks dashboard migration tool using Claude, and led a BigQuery-to-Databricks migration for Amway, building discovery tooling and architecture plans.

Engaged directly by enterprise clients across pharma, banking, and financial-market infrastructure to lead platform modernization and compliance-critical data engineering.

Architected a clinical data lakehouse on AWS and Databricks integrating 4 source systems across 200+ active trials, increasing release reliability 40%. Automated PHI masking and de-identification for HIPAA and GDPR compliance, and replaced manual deployments with Terraform and CI/CD.

Designed adversarial test cases for LLM tool calls, RAG pipelines, and guardrail behavior, improving factual grounding 30%. Built structured evaluation frameworks reducing human review time 25%.

Rebuilt finance and GL reporting pipelines on PySpark, dbt, and Databricks, eliminating recurring outages and sustaining 99.9% uptime. Automated CI/CD deployments and instrumented 24/7 observability with Splunk, CloudWatch, and Dynatrace.

Engineered a Databricks medallion architecture with Delta Live Tables, consolidating settlement data across 192 member banks for CSDR reporting. Automated reconciliation, reducing settlement resolution from hours to under 30 minutes.

Migrated legacy platforms to Apache Spark on Azure Databricks, reducing report downtime 40% and maintenance costs 20%. Automated metadata enrichment with Azure Purview and built ETL pipelines processing 2+ TB daily.

Reduced production downtime 50% as an on-call engineer for Zscaler's Big Data platform. Designed and maintained Airflow-orchestrated pipelines and Spark frameworks, and built a Pytest-based testing framework.

Pursued a Master of Science in Software Systems and Services Management at Masaryk University.

Earned a Bachelor of Engineering with Honors in Computer Science and Engineering, specializing in IBM Big Data.