Database & Data Engineering Intern

Mitchell Mecham

385-***-**** ***********@*****.*** www.linkedin.com/in/mitchell-mecham https://github.com/MLMecham WORK EXPERIENCE

Database Engineer Intern August 2026 - Present

Church of Jesus Christ of Latter-day Saints Riverton, UT

Replaced manual, error-prone MarkLogic (NoSQL) installs with Salt-based automation, ensuring consistent, repeatable configuration across dozens of RHEL machines.

Configured full lifecycle management (provisioning, updates, and teardown) of hundreds of AWS Aurora PostgreSQL and RDS databases using Terraform modules deployed through Azure DevOps pipelines.

Junior Data Scientist January 2026 - July 2026

DataThink Rexburg, ID

Built a GCP pipeline to sink Log Explorer data into BigQuery, using scheduled queries to clean and aggregate route-level usage; cross-referenced results against the OpenAPI spec to identify unused routes and drive weekly spec updates.

Designed a natural language query interface for a multi-filter dashboard system, allowing users to type queries such as 'Jan 20 to Apr 20, monthly, practice red' instead of manually configuring dozens of filter controls.

Constructed and maintained full-stack features (React/TypeScript, FastAPI, SQLAlchemy, Alembic) for a drug distribution and refill tracking system, covering bulk shipments to practices and patient-level dispensing.

EDUCATION

Bachelor of Computer Science GPA: 4.0 December 2026 Brigham Young University - Idaho

Coursework in algorithm design, parallel programming, statistical analysis, data wrangling, big data programming, and predictive modeling.

COMPUTER SKILLS

Python TypeScript React FastAPI Pandas Polars PySpark Scikit-Learn TensorFlow SQL Databricks GCP AWS Snowflake BigQuery dbt Terraform Azure DevOps CI/CD. PROJECTS

DBT Lichess Pipeline April 2026 - Present

Developed an end-to-end dbt + Snowflake pipeline on 2018 Lichess game data, implementing a medallion architecture and Kimball-style warehouse with marts for player performance and game trend analysis.

Taught a weekly lesson series on medallion architecture and dbt pipeline development to ~50 data science society members, preparing for a competitive dbt hackathon. Florida State University Pledge Fulfillment September 2025 - March 2026

Led a team of 8 data scientists to build an XGBoost model analyzing 10,000+ donor records to forecast pledge fulfillment for Florida State University.

Applied SHAP analysis to identify most impactful features and conducted ANOVA and Chi-Square hypothesis tests to surface donor attributes targeted for increasing pledge fulfillment rates.

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