Snapshot
A career spanning process engineering, data quality, governance, analytics, and program delivery—connecting strategy to stable, scalable operations.
- Lead end-to-end process design from concept to commissioning/operational readiness; set standards, SOPs, and acceptance criteria.
- Drive optimization & debottlenecking with data-driven telemetry, control plans, and change discipline to improve throughput, reliability, and cost/energy efficiency.
- Facilitate PHA-style reviews (FMEA/What-If), root-cause, and corrective action with evidence-based verification.
- Coordinate across engineering, operations, compliance, finance, and vendors; mentor mid/junior engineers.
- Embed governance, traceability, and audit-readiness to support ESG and regulatory outcomes.
- Remote-first excellence with crisp documentation, decision logs, and async collaboration.
Hats I wear
Career Highlights
Selected roles and outcomes (sanitized for confidentiality)
- Co-designed and built a DIY process monitoring & data quality platform (Snowflake SQL + Python Snowpark) that replaced an off‑the‑shelf subscription—saving ~$50K per month—while adding transparency and control (thresholds, runbooks, on‑call triage).
- Applied prompt engineering to augment an internal AI assistant (Confluence + Snowflake knowledge), accelerating rule drafting and explanation quality; established prompt patterns, evaluation checks, and governance.
- Processing performance: for equivalent checks, the in‑house engine runs noticeably faster than Collibra DQ in our environment, improving time‑to‑detect and clearing peak backlogs.
- Centralized, versioned rule repository with clear ownership improved maintainability and reduced duplication/rework; rule drafting is more efficient and consistent across teams.
- Owned standards, SOPs, readiness checks, and incident playbooks for high‑stakes data operations; facilitated FMEA/5‑Whys RCAs and tied corrective actions to change control and verification.
- Created business-critical dashboards for key network build programs, giving leadership clear line-of-sight to milestones, coverage expansion, risks/variance, and funding dependencies.
- Developed state legislative dashboards with geospatial overlays by county/district to visualize broadband build impacts and underserved regions, enabling transparent, data-driven policy discussions.
- Standardized KPI definitions and governed data pipelines, reducing reporting cycle time and producing audit-ready documentation across multi-release programs.
- Instituted phase-gate criteria and defect containment strategies reducing escape rates and stabilizing go-lives.
- Developed incident playbooks and ran hazard/what-if style reviews for complex releases.
- Directed budgets, schedules, and mentoring for distributed teams.
Portfolio
Selected public work.
Your Affordable Mortgage
A privacy-forward mortgage guidance site that helps low-income users explore affordability with clear tips, listings, and lightweight calculators.
- Flask backend + HTML/CSS UI; email results workflow.
- Mortgage tips, curated listings, and personalized recommendations.
- PWA-ready; Android packaging & Play Console setup in progress.
Case Studies
Problem → Approach → Impact
Observability & Quality Platform
Problem: Critical dataset lacked early warning and standardized response.
Approach: Built Snowflake/Python-based monitors, control plans, and runbooks; established thresholds and on-call triage.
Impact: Reduced investigation time from days to hours; improved system reliability and stakeholder confidence.
Governance & Readiness Playbook
Problem: Fragmented standards led to inconsistent go-lives and rework.
Approach: Authored policy→standard→procedure chain, readiness checklists, and evidence templates; trained teams.
Impact: Fewer post-release incidents; faster time-to-stable operations; clear audit trail for compliance/ESG.
Embedded QA Advocates
Problem: Late-stage defects causing costly rollbacks.
Approach: Embedded QA with dev teams; introduced phase gates and defect taxonomy; improved risk reviews.
Impact: Significant cost avoidance and improved first-time-right outcomes across multiple releases.
Capabilities & Tools
Process & Safety
- Process design, mapping (BPMN), standards & SOPs
- Operational readiness, commissioning checklists
- Optimization, debottlenecking, control plans
- PHA-style reviews: FMEA, What-If; RCA (5-Whys, fishbone)
- Change control & post-implementation verification
Data & Engineering
- Python (Snowpark), SQL (Snowflake), Flask
- Dashboards/analytics (Power BI, Fabric)
- Versioning & documentation (Git, Confluence/Jira)
- ESG/traceability: evidence, lineage, audit-readiness
- Industrial upskilling: PFD/P&ID interpretation, M&E balance fundamentals
Credentials
Let’s collaborate
Open to senior roles in process engineering, data quality/governance, and cross-functional optimization (remote-first).