Senior Data Engineer
Anthony Sottile
Building enterprise data platforms, AI-powered analytics, and interactive experiences that turn complex data into decisive action.
About Me
I'm a data engineer who loves building things end-to-end — from designing lakehouse architectures that wrangle millions of rows, to crafting the React dashboards executives actually enjoy using. My sweet spot is turning messy, siloed data into governed platforms that drive real business decisions.
Before enterprise data, I built a baseball analytics SaaS and led analytics for USC Baseball. I still bring that same competitive, scrappy energy to every pipeline and dashboard I ship.
Data Sources Integrated
Executive Dashboards
Opportunities Surfaced
Pipeline Performance Gain
University of Southern California
B.S. Business Administration / Finance · Minor in Applied Analytics · GPA: 3.53
Dean's List · Cum Laude · USC Men's Basketball · USC Baseball
Technical Skills
Click a skill to see where it was used
Languages
Data Engineering
Cloud & DevOps
AI & ML
Visualization
Experience
Shucker & ClearShelf
- Co-founded Shucker (shucker.io), a shellfish compliance platform that turns regulatory workflows into a daily rhythm—scan, log, alert, and prove it at inspection time—built for fast-moving restaurant teams.
- Co-founded ClearShelf (clearshelf.net), an AI-native restaurant operations platform spanning mobile compliance capture, agentic shift reporting, and an orchestration layer across POS and legacy back-office systems.
TIDI Products – The Jordan Company (PE)
- Selected to lead enterprise re-platforming from Microsoft Fabric to Databricks following CDTO strategy shift; architected greenfield environment end-to-end—security, networking, JDBC connectivity to SQL warehouses and IBM DB2, Lakeflow Connect for Salesforce, and Lakehouse Federation preserving access to critical Fabric assets during migration.
- Architected the company's first custom BI portal (Node.js, React, GraphQL) with integrated MCP server and natural-language lakehouse queries; re-platformed as a Databricks App, sustaining executive access to dashboards and KPIs through the migration.
- Led greenfield build of the company's first enterprise data platform, architecting storage and compute layers and standardized ETL pipelines across 15+ legacy systems (IBM DB2, AS/400, Salesforce).
- Developed and optimized PySpark/Spark SQL ELT pipelines leveraging Delta Lake (Parquet) storage, reducing legacy data refresh from 6+ hours to under 45 minutes and enabling daily executive reporting previously impossible with batch constraints.
KPMG LLP
- Led development of a digital command center for a $20B utility company, integrating SAP business warehouses into Power BI to deliver C-suite dashboards for capital spending, workforce productivity, and project delivery KPIs.
- Built Core Schedules, an automated M&A due diligence product using Power BI REST APIs and Databricks—cutting insurance/payments deal report generation from hours to minutes.
CloudHack.AI
- Founded CloudHack, a sports analytics SaaS serving 2 D1 college teams; architected end-to-end pipelines (Databricks, dbt, PySpark, PostgreSQL, Azure) with OpenAI-powered coaching insights, contributing to a 34-23-1 record and the client's first 30-win season since 2015.
USC Athletics (Baseball & Basketball)
- Led student analytics team processing high-frequency Trackman player tracking data (velocity, spin rate, positional metrics) for 55 games; built automated pipelines and self-serve dashboards enabling coaches to analyze player performance in real time.
Data Pipeline Architecture
Interactive medallion lakehouse architecture built at TIDI Products
Baseball Analytics Dashboard
AI-powered scouting reports built for D1 college teams at CloudHack.AI
Pitch Velocity Distribution
Batting Average Trend
Player Skill Profile
Strike Zone Heatmap
3D Pitch Spin Lab
Rendered with React Three Fiber + Three.js. The baseball uses a procedural seam texture. Spin axis and gyro values orient the 3D axis/ring, while spin rate drives rotation speed for each pitch.CloudHack-style side-by-side spin comparison with interactive 3D movement.
Default View: angled perspective for easiest spin inspection.
Velocity
98.1 mph
Spin Eff
86%
IVB
11.8 in
Velocity
85.5 mph
Spin Eff
83.6%
IVB
1.6 in
Quick Comparison
Each card compares Pitch A vs Pitch B for one metric. Delta is calculated as B - A. Velocity, IVB, and HB use the selected pitch movement profile; spin rate reflects raw RPM from the same selected pitch records.Spin Rate
A2236.7 RPM
B1958.7 RPM
-278.0 RPM
Velocity
A98.1 mph
B85.5 mph
-12.6 mph
IVB
A11.8 in
B1.6 in
-10.2 in
HB
A2.9 in
B-0.6 in
-3.5 in
Star Schema Explorer
Conformed dimensional models for financial, commercial, manufacturing, and baseball analytics
Products I've Built
Live products spanning sports analytics, restaurant compliance, and AI-native operations
CloudHack
Sports analytics SaaS for D1 college teams—end-to-end pipelines, OpenAI coaching insights, and interactive dashboards that helped drive a first 30-win season since 2015.
Shucker
Shellfish compliance platform for restaurant teams—scan, log, alert, and prove it at inspection time with a playful UX and precision ops workflows.
ClearShelf
AI-native restaurant operations platform: mobile compliance capture, agentic shift reporting, and orchestration across POS and legacy back-office systems.
Product Demo
ClearShelf in Action
Watch how ClearShelf brings AI-native restaurant operations to life—mobile compliance capture, agentic shift reporting, and orchestration across POS and legacy back-office systems.
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Let's Connect
I'm always open to discussing data engineering, analytics, or new opportunities.
Download Resume