I build pipelines and cloud platforms that run without drama.

Upper Hand · Indianapolis, IN

Platform & Cloud

• Led a zero-downtime migration of Upper Hand's infrastructure - including AI product infrastructure - from Heroku to Google Cloud, cutting infrastructure costs by an estimated 60%.
• Migrated data and infrastructure for 20+ clients, then decommissioned the legacy Heroku environment.

Cost Optimization

• Cut recurring costs across 5 tools - Metabase licensing by ~47%, Deepnote compute by ~84%, and QuickBooks integration costs to $0/month.
• Reduced pipeline compute time by 40% through query restructuring, staging tables, and indexing, then right-sized CloudSQL from 20 vCPUs/80 GB to 10 vCPUs/60 GB, saving ~$4,800/year.

AI & Machine Learning

• Configured an internal chatbot letting admins query dashboard data in natural language.
• Built an event-recommendation system running in production at 63% accuracy.

Data Integrations & Client Reporting

• Built 5+ data integrations spanning CRM, Active Network, Square, QuickBooks, and U.S. Census data.
• Delivered KPI dashboards for 4 enterprise clients, generating $10K MRR.
• Built financial dashboards across 6 business units with MoM/YoY trends, adding $4K MRR.
• Built a QuickBooks library pulling accrual and cash-basis P&L data for 2 clients across 10+ locations.
• Layered U.S. Census demographic data into client analytics, contributing $3K ARR.
• Automated monthly marketing reporting across Google Ads, Google Analytics, Meta Ads, Facebook Pages, Instagram Business, and Google Business Profile, cutting manual reporting time by 80%.

Leadership

• Mentored 3 engineers on Terraform, CI/CD, and GCP, enabling each to provision and deploy infrastructure independently.
• Set a team standard pairing fast proofs of concept with at-scale cost projections.
• Designed and implemented a client-support workflow connecting incoming requests to Jira.

Faculty Assistance in Data Science Program, Indiana University · Bloomington, IN

Data Pipelines

• Built a scraping & processing pipeline over 8 years of Mental Health Treatment Facility records, surfacing regional growth and service-diversification patterns.

Reporting

• Compiled findings into a report for program faculty, summarizing regional growth trends and shifts in service mix across facilities.

Network Decision and Support Database (NDSD) Team, Infosys Ltd. · Bangalore, India

Data Pipelines

• Maintained 50+ SQL-based ELT pipelines, processing terabytes of structured and semi-structured network data across 5 source systems with automated failure alerting.

Performance Optimization

• Improved query performance by 55% through execution plan analysis, targeted index redesign, and schema normalization across Oracle databases, reducing average PL/SQL procedure runtime from 20 min to 9 min.