Arun K

About Arun K

Senior Data Engineer with 6+ years of experience designing, building, and optimizing enterprise data platforms across insurance and healthcare domains. Expertise spans legacy ETL modernization and modern cloud data engineering using Python, SQL, PySpark, Airflow, Snowflake, AWS, and Informatica PowerCenter. Proven success delivering high-volume batch pipelines, CDC workflows, dimensional models, and governed datasets that improve performance, reliability, and cost efficiency. Experienced supporting analytics and ML initiatives through scalable, HIPAA-compliant data solutions, CI/CD deployment practices, and cross-functional stakeholder collaboration.

Experience

1. Data Engineer

   Arbella Insurance Group

   Jan 2025 — Present · OK, US

   Developed and maintained scalable Python, SQL, and Snowflake-based ETL pipelines processing over 40M insurance policy and claims records monthly, improving data availability for underwriting, actuarial analysis, and reporting workflows.• Reduced reporting turnaround time by 55% by optimizing ingestion and transformation workflows, enabling faster, datadriven decision-making across underwriting, risk management, and finance teams supporting business-critical analytics and operations.• Designed and implemented dimensional data models aligned with underwriting, actuarial, and regulatory reporting requirements, reducing reconciliation effort by 38% and improving data consistency across downstream reporting and analytics systems.• Optimized Snowflake warehouse performance through clustering strategies, advanced query tuning, and workload scaling, achieving 60% faster query execution while significantly reducing compute costs and improving overall system efficiency.• Built automated data validation and reconciliation frameworks across ingestion and transformation layers, reducing reporting discrepancies by 42% and significantly strengthening data quality, reliability, and trust in analytical outputs across business teams.• Delivered curated, analytics-ready datasets to support risk scoring, predictive modeling, and advanced analytics initiatives, improving data accessibility and significantly reducing preparation time for data science and business intelligence teams.• Implemented CI/CD-enabled deployment workflows using Git for version control, improving release stability, reducing production defects, and standardizing deployment processes across multiple data pipelines and environments within engineering teams.• Monitored pipeline performance and resolved failures using logging, alerting, and root cause analysis techniques, ensuring SLA compliance and maintaining reliability for business-critical reporting and analytics systems across multiple data domains.

Education

• Audisankara College of engineering and technology

  Bachelor of Technology - BTech, cse

  2016 — 2020

• Oklahoma City University

  Master of Science - MS, Computer and Information Sciences and Support Services