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Vajih Ahmer

@vajihahmer

Senior Data Engineer at QUANTIFI building Azure Databricks lakehouse platforms and production pipelines across healthcare and enterprise data.

United States

Message

At QUANTIFI, I design and maintain cloud data platforms with Azure Databricks, Spark, Delta Lake, and Snowflake, integrating operational, analytics, and healthcare data. I built and supported production pipelines and developed a Bronze, Silver, and Gold lakehouse architecture.

I’ve also worked on healthcare data integration, migrating legacy ETL workflows, and optimizing Spark workloads. Earlier at QUANTIFI and FIRST AMERICA, I developed data pipelines, Snowflake models, and reporting datasets, and supported data migration and processing automation.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Quantifi

Sep 2022 - Present (4 years 1 month)

Designed and maintained cloud data platforms using Azure Databricks, Spark, Delta Lake, and Snowflake, integrating 25+ enterprise data sources. Built and supported 40+ production data pipelines processing 500GB+ daily workloads.

Azure Databricks Spark Delta Lake Snowflake Python PySpark SQL Azure Data Factory Lakehouse Architecture Medallion Architecture CDC HIPAA PII Handling Unity Catalog RBAC

Data Engineer

Quantifi

Jun 2019 - Aug 2022 (3 years 2 months)

Developed 20+ ETL/ELT pipelines using Python, SQL, Spark, and cloud technologies. Built and optimized Snowflake data models and SQL transformations for business intelligence and operational reporting.

Python SQL Spark Snowflake ETL ELT PySpark Airflow CDC Data Validation

Data Engineer

First America

Jul 2017 - May 2019 (1 year 10 months)

Developed SQL and Python-based ETL pipelines integrating data from multiple operational systems. Optimized SQL queries and database processes across large transactional datasets containing 100M+ records.

SQL Python ETL Data Migration Query Optimization Automation