Resume

Virinderpal Singh Batth

Senior Data Engineer

Snowflake dbt AWS SQL Python Bash Git JSON

Professional Summary

Senior Data Engineer with 8+ years building enterprise data platforms in financial services and insurance. Track record of dramatic efficiency gains—95% compute reduction, 90% faster SCD Type 2 queries, and 2TB+ Hadoop-to-Snowflake migrations. Recently led a team architecting an insurer’s first unified operational data store; currently building the SoFi Plus enterprise data warehouse on SoFi’s Data Products team.

Experience

Senior Data Engineer, evolv ConsultingOct 2025 – Present

Client: SoFiJul 2026 – Present

  • Building the enterprise data warehouse for SoFi Plus, SoFi’s premium subscription membership bundling boosted rewards, preferred rates, and member benefits
  • As part of the Data Products team, modeling membership and subscription data supporting the program’s 2026 relaunch as a paid tier

Client: Shelter InsuranceOct 2025 – Jun 2026

  • Led and grew a team of 3+ data engineers to architect Shelter’s first unified operational data store in Snowflake using dbt
  • Defined master data standards across 4+ legacy platforms, resolving data overlaps between sub-companies
  • Architected high-performance data pipelines serving a transactional Kong API layer for real-time business insights
  • Built reusable dbt framework for automated data extracts to AWS S3, enabling self-service reporting

Data Engineer, USAAApr 2021 – Oct 2025

  • Resolved critical Snowflake performance bottleneck, reducing compute usage by 95% and significantly decreasing query costs
  • Optimized SCD Type 2 queries achieving 90% reduction in running time (3 hours → 15 minutes) and 70% reduction in data scan volume
  • Designed Kafka streaming pipeline for ML model training with staging tables, automated resiliency checks, and idempotent loading
  • Led platform modernization migrating 2+ terabytes from Hadoop to Snowflake using PySpark and parquet format
  • Drove Secured Card to Credit Card transition resulting in 30% increase in member engagement
  • Implemented decoupled-push architecture reducing On-Call overhead by 90%
  • Architected cross-organizational data lake POC with AWS S3, reducing transfer time by 50%
  • Enhanced PII/PCI/PHI security with data masking, tokenization, and RBAC

Big Data Consultant, HCL America Inc.Nov 2017 – Apr 2021

  • Pioneered the first project at USAA to utilize AWS cloud and real-time streaming (NiFi/Kafka), transforming batch to real-time processing
  • Established AWS S3 to HDFS file transfer routes, enabling cloud-to-on-premise data integration
  • Developed 30+ critical decisioning data pipelines in Hadoop supporting credit card risk decisioning
  • Built core ETL pipelines using IBM DataStage and DB2 with complex transformations and governance checks
  • Created automated schema check process eliminating hours of manual inspection
  • Supervised Hadoop projects and mentored colleagues on CI/CD best practices
  • Ensured PII/non-PII compliance with Information Governance standards

Technical Skills

Category Technologies
Programming SQL, Python, Bash, Git
Data Engineering dbt, Kafka, Flink, NiFi, IBM DataStage, REST APIs
Cloud & Platforms Snowflake, AWS (S3, EC2, Redshift, Lambda, Athena), Hadoop, DB2
Data Formats JSON, Parquet
Visualization Apache Superset
Practices CI/CD, Data Governance, RBAC, Data Masking, Tokenization

Education

B.S. in Computer Science | Cum Laude
Big Data & Analytics Concentration
New York Institute of Technology, New York