Open to opportunities

james davis

@jamesdavis2

Data Analyst and Senior Data Engineer building scalable ETL, KPI dashboards, and predictive analytics for education and healthcare impact.

United States

Message

What I'm looking for

I’m looking for work where I can build reliable ETL/ELT, KPI dashboards, and predictive analytics—using SQL, Spark, and cloud data platforms—while automating data quality and deployments across AWS, Azure, and GCP.

I’ve delivered data-driven insights and BI dashboards across DataKind (student success), CureMD (healthcare analytics), and Koombea (product engagement and churn), turning raw datasets into analytics-ready models and reporting layers. At DataKind, I built ETL and feature engineering workflows that improved predictive analytics and reporting outcomes, standardized metrics across programs, and automated data quality with dbt.

In healthcare, I engineered AWS Glue and Spark pipelines, added Kafka streaming for near real-time dashboards, and optimized SQL across Redshift, BigQuery, and Azure Synapse to improve performance and cost. I also build lakehouse architectures across AWS, Azure, and GCP, automate deployments with Terraform and CI/CD, and support predictive modeling and analytics engineering using Spark and Python.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer / Data Analyst

Current

DataKind

Jun 2025 - Present (1 year 2 months)

Developed scalable ETL pipelines and analytics datasets to support data-driven decision-making for student success and nonprofit impact, leveraging Spark, Databricks, AWS, Azure, and GCP services.

Spark Databricks AWS Azure GCP ETL Data Pipelines BI Reporting Predictive Analytics Claude Cursor DBT Terraform CI CD SQL Redshift Synapse BigQuery

Senior Data Engineer / Data Analyst

CureMD

Apr 2023 - May 2025 (2 years 1 month)

Engineered AWS Glue and Spark-based data pipelines to support healthcare analytics, improving availability of structured datasets for reporting, KPI tracking, and predictive insights by 30%.

AWS Glue Spark PySpark Kafka QuickSight SQL Redshift BigQuery Azure Synapse DBT Terraform GitHub Actions Codex Healthcare Analytics

Data Engineer

Koombea

Feb 2021 - Mar 2023 (2 years 1 month)

Built ETL pipelines with AWS Glue and EMR ingesting web/mobile app events, transactions, and user interaction data, supporting predictive analytics for product engagement and churn reduction by 18%.

AWS Glue EMR Spark Kafka PySpark DBT Tableau Airflow Terraform BigQuery Azure Synapse Data Quality

ETL Developer

GetScale

Jul 2019 - Feb 2021 (1 year 7 months)

Built AWS Glue and Spark pipelines ingesting sales, recruiting, and student enrollment data, enabling predictive analytics for conversion and engagement improvements of 20–25%.