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Jason Wang

@jasonwang2

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Senior data engineer building scalable data platforms for GenAI, commerce, and healthcare analytics.

United States

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What I'm looking for

I’m looking for a Senior Data Engineering role where I can build reliable, governed data foundations for GenAI and analytics—owning pipelines, performance, and data quality with modern lakehouse patterns and strong engineering discipline.

I’m a Senior Data Engineer with 13+ years building large-scale data platforms across GenAI, commerce, healthcare, and retail analytics. I use Python, SQL, Spark/PySpark, and cloud data stacks to deliver production-grade datasets and pipelines for customer-facing AI assistants, de-identified longitudinal healthcare analytics, loyalty analytics, personalization, and closed-loop retail measurement.

Across teams, I’ve standardized high-volume data foundations and modernized lakehouse-style architectures using AWS/Snowflake and Azure/Cosmos patterns. I focus on performance and reliability—config-driven orchestration with Airflow, dbt incremental models and testing, Kafka-style event pipelines, and governance/quality frameworks—cutting backfills by 60%, improving SLA compliance from 92% to 99%, reducing transformation runtime by 45%, and lowering production data defects by 38%.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

LTK

Mar 2023 - Present (3 years 4 months)

Designed AWS and Snowflake data foundations and built Python/Airflow ingestion pipelines and dbt models across bronze-to-gold layers for creator-commerce analytics. Implemented data quality/governance controls and built Kafka-style event pipelines supporting high-volume personalization and attribution use cases.

Python SQL Airflow AWS Snowflake APIs DBT Data Quality Data Governance IAM KMS RBAC Data Lineage CI CD

Senior Data Engineer

Epic

Apr 2019 - Dec 2023 (4 years 8 months)

Built Azure-based ingestion pipelines using ADF, ADLS, Azure Databricks, PySpark, Delta Lake, and SQL Server to standardize de-identified EHR feeds from hundreds of healthcare organizations. Developed clinical data quality, normalization/ontology mapping, and privacy/governance patterns to enable cohort discovery and clinical cohort query performance improvements.

Azure Data Factory ADLS Azure Databricks PySpark Delta Lake SQL Server T SQL Azure Cosmos Ingestion Pipelines Data Quality Data Governance Azure Key Vault RBAC Private Endpoints Audit Logs LOINC ICD SNOMED Lakehouse Partitioning

Data Engineer

Kroger

Jun 2013 - Mar 2019 (5 years 9 months)

Built SQL and Python ETL pipelines for POS, loyalty, coupons, products, stores, and promotions, improving daily load completeness. Migrated and optimized retail analytics workloads across Hadoop/Hive/HDFS and Spark/PySpark, and implemented data quality checks and retail media measurement pipelines for closed-loop attribution.