# Dave Mao

Dave Mao is a remote worker on Himalayas, Senior Data Engineer at Airbnb, based in United States.

Source: https://himalayas.app/@davemao

```text
I build governed, scalable data platforms for marketing, workforce, payments, and healthcare analytics.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | United States |
| Authorized to work in | United States |
| Job categories | Data Engineer, Data Engineer, Data Architect, Analytics Engineer, Data Platform Engineer, Data Analyst, Business intelligence Engineer, Data Engineer Jobs, Data Engineering, Data Engineering Specialist, Data Engineering Jobs, Data Engineering Positions |
| Skills | Python, SQL, T SQL, Java, PySpark, Spark, AWS, S3, AWS Lambda, Amazon EMR, Amazon Kinesis, Amazon Redshift, Amazon Athena, Amazon SQS, Cloudwatch, AWS CodeBuild, AWS CodePipeline, Azure, Azure Data Factory, Azure Blob Storage, Azure SQL Database, Databricks, Snowflake, Delta Lake, Kafka, Airflow, DBT, SSIS, SQL Server, Tableau, Power BI, Amazon Quicksight, Workday, Salesforce, Unity Catalog, Docker, Kubernetes, Git, TFS, CI CD, Dimensional Models, Data Quality, Reconciliations, RBAC, PCI DSS, SOC2, HIPAA, PII Controllers, Data Governance, Data Modeling, Data Pipelines, Spark Structured Streaming, Medallion Architecture, Visual Studio, S3 Lambda, Factory |

## About

```text
At Airbnb, I modernize Marketing and People Analytics data platforms that power campaign optimization, audience segmentation, workforce reporting, and leadership decisions. I build governed, ML-ready datasets and scalable pipelines using AWS, Databricks, Spark, Snowflake, Python, SQL, and dbt.

I architected batch and near-real-time ingestion for 35B+ Kafka events and 1,000+ tables per day, establishing Bronze, Silver, and Gold data layers for campaign, customer, behavioral, and HR data. I also lead technical delivery through design and code reviews, mentoring, and close partnership with Product, Analytics, Marketing, and Data Science.

Previously at Stripe, I built AWS-native batch and streaming pipelines for high-volume payment, refund, fee, and settlement data across a platform supporting 135+ currencies. I created reconciliation controls, dimensional reporting models, and reliable production workflows with automated CI/CD, observability, replay, and idempotent processing.

I started building healthcare data and analytics pipelines at Valley Health Plan, where I worked with claims, eligibility, enrollment, provider, and pharmacy data under HIPAA-aligned practices. Across industries, I focus on reliable, secure, cost-conscious data products with strong quality, governance, and privacy controls.
```

## Experience

### Senior Data Engineer (current)

[Airbnb](https://himalayas.app/companies/airbnb). Oct 2022 - Present

```text
Led modernization of the Marketing Data Platform using AWS, Databricks, Spark/PySpark, Delta Lake, and Medallion Architecture. Architected batch and near-real-time ingestion pipelines with Kafka and Spark Structured Streaming, processing 35B+ Kafka events and 1,000+ tables per day.
```

Skills: AWS, Databricks, Spark, PySpark, Delta-Lake, Kafka, Java, Python, SQL, Unity-Catalog, CI-CD, Data-Governance, Data-Quality, Medallion-Architecture

## Education

### University of California, Los Angeles

Bachelor of Science, Computer Science. 2010 - 2014

```text
Bachelor of Science in Computer Science from the University of California, Los Angeles, completed in 2014.
```

## Tech stack

- Amazon Redshift
- Amazon Quicksight
- Amazon S3
- Kubernetes
- Salesforce
- PySpark
- dbt
- Databricks
- Visual Studio
- Java
- Kafka
- Azure SQL Database
- Airflow
- s3-lambda
- Amazon EMR
- SQL
- Azure Blob Storage
- Delta Lake
- Unity Catalog
- Factory

To contact Dave, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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