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Amos Victoria

@amosvictoria

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I build scalable AWS data lakes, ETL pipelines, and analytics platforms for healthcare and consulting teams.

United States

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What I'm looking for

I'm looking to build reliable, scalable data platforms and analytics pipelines, partnering closely with engineering, DevOps, analytics, and ML teams on data quality, governance, observability, and cloud modernization.

I've built AWS data platforms and ETL systems for ReefPoint Group, Amwell, ArdentMC, and ERPI, supporting healthcare, consulting, insurance, and operational reporting teams.

At ReefPoint Group, I led a multi-zone S3 data lake and Customer 360 implementation, building PySpark Glue pipelines, batch and streaming ingestion, Lake Formation access controls, Athena optimization, and entity-resolution workflows.

At Amwell, I developed claims and patient-event ETL pipelines, strengthened data quality and metadata practices, and partnered with data science and ML teams to prepare SageMaker feature tables and reproducible workflows.

I also bring hands-on experience with Python, SQL, Spark, Airflow, Terraform, and CI/CD, with a focus on reliable datasets, governed access, observability, and faster analytics.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

ReefPoint Group

Aug 2025 - Jun 2026 (10 months)

Led design and implementation of multi-zone S3 data lake architecture with schema versioning and quarantine workflows. Authored PySpark ETL for AWS Glue jobs and built batch and streaming ingestion pipelines.

Senior Data Engineer

Amwell

May 2023 - Jun 2025 (2 years 1 month)

Led development of PySpark ETL pipelines in AWS Glue for healthcare claims and patient event streams. Optimized S3 partitioning, Parquet storage, and Athena queries to reduce query times and costs.

AWS S3 AWS Glue PySpark Python SQL Amazon Athena GitHub Actions AWS Sagemaker DynamoDB Data Quality ETL Data Catalogs CI CD

Data Engineer

ArdentMC

Jan 2021 - Mar 2023 (2 years 2 months)

Developed Python ETL scripts and Airflow DAGs to ingest insurer and broker data into normalized relational schemas. Built data pipelines to clean, deduplicate, and transform member and policy records.

Python SQL Airflow ETL Data Modeling Power BI Data Quality Reconciliations OLTP Documentation

Data Analyst

ERPI

Aug 2018 - Nov 2020 (2 years 3 months)

Performed SQL-based analysis of operational datasets to produce weekly and monthly reports. Created and maintained Tableau dashboards to visualize KPIs and operational trends.

SQL Tableau Python ETL Data Quality Reporting Data Analysis Automation