JD/ENERGY INTEGRATION
Proposal · Unified Energy Analytics

One view for every dollar spent
keeping the lights clean.

A working MVP concept, a live proof-of-concept, and the track record behind them — put together for the Energy Integration Manager conversation.

ELF · DC Load Forecast Clean & Renewable ERCOT Pilot
3cost sources unified
01 · The MVP

From a manual script to a decision-grade pipeline

Five stages, in order — each one removes a specific piece of risk before the next stage can trust the data.

01 / INGEST

Ingestion

  • Enverus API (replaces custom scripts)
  • ELF + renewable cost feeds
02 / NORMALIZE

Common Schema

  • $/MWh, region, cost basis
  • Timestamp-aligned
03 / SERVE

Backend / API

  • /costs/dc · /costs/clean
  • /costs/compare
04 / VIEW

Interface

  • KPI strip, sortable table
  • DC vs. clean trend chart
05 / DECIDE

AI Layer

  • Anomaly flags
  • Auto-drafted briefs
Why this order matters: kill the manual custom scripts first — they're the single biggest maintenance risk — then normalize ELF and renewable cost data onto one comparable cost basis, and only then let the AI layer turn that into a brief someone can act on.
02 · Proof of Concept

AWS Lookout for Equipment, wind turbines

Vibration, oil pressure, and output data feed a health model — paired with wind forecasts to turn "is it healthy?" into "how much power will it make?"

Vibration (accelerometer)
Oil pressure
Energy output (MW)
Turbine RPM / temp
Wind speed forecast
AWS Lookout for Equipment
ANOMALY DETECTION + REMAINING-LIFE MODEL
Turbine health score (0–100)
Days-to-maintenance estimate
Forecasted power output (MW)
Capacity vs. wind-forecast delta

Turbine T-07 — Actual vs. Forecast Output

MW, 7-DAY SAMPLE
MonTueWedThuFriSatSun
Actual output Forecasted output
Sample health scores/ 100
T-0492
T-0778
T-1161

Illustrative data — placeholder for real Lookout for Equipment output.

Why it matters: pairing equipment health with wind forecasts turns a maintenance question into a production-capacity forecast — the same forecast-vs-capacity logic ELF and renewable cost tracking will need.
03 · Track Record

Prior work that maps directly to this role

Co-authored AWS blog: integrating OSIsoft PI System with Esri ArcGIS for real-time utility dashboarding.

What I built (AWS, 2021)

Integrated OSIsoft PI System (SCADA/time-series) with Esri ArcGIS so grid sensor data and geospatial asset data live in one composite view
Designed a highly available reference architecture across multiple Availability Zones
Enabled a real-time Operations Dashboard plus a time-enabled feature layer for live status and historical playback
Gave stakeholders beyond the control room a shared, trusted view of asset health

What this role needs

Integrate fragmented energy data into one decision-grade portfolio picture
Set the metrics, cadence, and architecture leadership runs the portfolio by
Move reporting from periodic/manual to continuous and predictive
Translate the integrated view into executive-ready narratives
Published, peer-reviewed AWS work: "Integrate OSIsoft PI and Esri ArcGIS on AWS for Real-time Utility Dashboards and Analysis," AWS for Industries blog, co-authored with AWS Power & Utilities specialists, March 2021.
04 · Mission Alignment

Climate impact work, behind the scenes

Technical contributor and architecture lead — the AWS + Esri geospatial platform behind The Nature Conservancy's tree-equity work.

What I architected

Architecture lead on the AWS + Esri ArcGIS platform behind TNC's "Climate Next" tree-equity and urban afforestation work
Combined satellite tree-cover data, land surface temperature, and socio-economic variables into one spatial feasibility model
Backed Esri ArcGIS StoryMaps on S3 + Aurora so scientists could turn raw data into stories for policymakers
Same pattern applied to the Zanzibar mangrove-protection project in the same AWS series

Why it fits this team's mission

Direct, hands-on experience turning climate/geospatial data into decision-grade tools
Built the same "data into a story leadership can act on" pipeline this role needs for renewable vs. ELF narratives
Comfortable being the connective tissue between analysts and the infrastructure that scales their work
A track record of shipping tools in service of a 1.5°C-aligned mission
Source: "Climate Next: Using data to address tree cover and climate change," AWS/Amazon News, March 2022. Byline credited to Amazon Staff; I served as technical contributor and chief architect on the underlying AWS + Esri ArcGIS infrastructure described in the piece — not a named author of the article text.