# Shasha Reid

Shasha Reid is a remote worker on Himalayas, Lead Data Engineer at GEICO, based in United States.

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

```text
Lead Data Engineer at GEICO building real-time insurance and AI data pipelines, including systems that cut processing latency by 50%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 120k+ USD |
| Job categories | Data Engineer |
| Skills | Data Engineering, Cloud Data Platforms, Lakehouse Architecture, Data Pipelines, ETL ELT, Real time Data Processing, Batch Processing, Data Warehouse, Data Modeling, AI and Data Engineering, LLM Training Pipelines, RAG Data Pipelines, Machine Learning Pipelines, Feature Engineering, Feature Stores |

## About

```text
At GEICO, I lead cloud data platforms across AWS and Azure, processing insurance records for policy, claims, customer, billing, and risk domains. I built batch and real-time pipelines that reduced processing latency by 50%.

I developed reusable ETL/ELT frameworks that cut pipeline execution time by 45%, and standardized data contracts across business domains, improving data consistency by 40%.

I also build production data foundations for machine learning and AI, including feature engineering, MLflow workflows, and LLM/RAG pipelines for document processing, embeddings, and vector search. At Prelim, I developed lakehouse and streaming platforms and optimized warehouse models to improve query performance by up to 70%.

Earlier, at Mingle Health, I built automated pipelines and healthcare data models for reporting and analytics. I’ve worked with sensitive healthcare and insurance data using HIPAA-aware security and governance practices.
```

## Experience

### Lead Data Engineer (current)

[GEICO](https://himalayas.app/companies/geico). Jan 2023 - Present

```text
Led architecture and operation of cloud-native data platforms and lakehouse architectures across AWS and Azure, processing 10M+ insurance records daily. Built high-throughput batch and real-time pipelines, reducing latency by 50% and pipeline execution time by 45%.
```

Skills: Python, PySpark, Apache-Spark, Databricks, Delta-Lake, Kafka, Kafka-Connect-API, Apache-Flink, Amazon-Kinesis, Apache-NiFi, DBT, Airflow, Fivetran, Unity-Catalog, IAM, Terraform, Docker, Kubernetes, GitHub-Actions, MLFlow, LLM, RAG, Vector-Databases, HIPAA

### Senior Data Engineer

Prelim. Jun 2019 - Dec 2022

```text
Designed and scaled high-volume ETL/ELT pipelines using Python, PySpark, Apache Spark, SQL, dbt, and Databricks to process multi-terabyte datasets. Built resilient real-time ingestion frameworks and optimized data warehouse models, improving query performance by up to 70%.
```

Skills: Python, PySpark, Apache-Spark, SQL, DBT, Databricks, Delta-Lake, Kafka, Kafka-Connect-API, Debezium, Apache-Flink, Apache-Flume, MLFlow, Terraform, Docker, Kubernetes, GitHub-Actions, Data-Quality, Data-Lineage, Data-Governance

### Data & BI Engineer

Mingle Health. Aug 2017 - May 2019

```text
Built and maintained automated data pipelines using Python, SQL, and Apache Airflow integrating clinical, operational, and business data. Designed healthcare-focused data warehouse models and implemented data validation and quality checks.
```

Skills: Python, SQL, Airflow, Data-Warehouse, Star-Schemas, Data-Quality, HIPAA

## Tech stack

- Amazon Redshift
- Fivetran
- Apache Spark
- AWS Glue
- Apache Flink
- Amazon S3
- Kubernetes
- GitHub Actions
- PySpark
- Debezium
- dbt
- Databricks
- Terraform
- Python
- Apache Flume
- MLflow
- Apache NiFi
- Amazon Kinesis
- AWS Lambda
- Docker
- Amazon Athena
- SQL
- Delta Lake
- Microsoft Fabric
- Unity Catalog
- Apache Kafka

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

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