Raul Aima

• Cut client energy costs by 15% ($40K/year) by building telemetry pipelines across 200+ HVAC field installations which
captured inverter-based unit sensor streams, flagged disturbances, and fed data into a centralized Megapack platform
• Stood up a fleet-scale DataDog telemetry system from zero infrastructure in a single deployment cycle — defining data capture
configurations and triggering parameters that gave SCADA and operations teams their first live disturbance detection
capability across 200+ active energy sites
• Reduced cross-team correction cycles to zero by authoring repeatable data-capture procedures and field documentation adopted
by SCADA software and product teams across a 200+ unit energy fleet

• Shielded grid adjacent infrastructure from $20K+ in annual regulatory exposure by deploying IoT-integrated anomaly detection
across 12 field sites that defined high frequency data capture channels and retention parameters pushing live disturbance alerts
to operators before failures escalated
• Translated raw field data-capture requirements into repeatable deployable site configurations across 12 active sites by
authoring validation documentation and compliance procedures that eliminated senior engineer escalations entirely

• Improved system resolution accuracy by 10% by building a DataDog performance dashboard that gave product and SCADA
teams real-time visibility into live system health metrics enabling course correction before issues reached end users
• Tracked system performance via DataDog, enabling teams to resolve quality issues improving resolution accuracy by 10%

• Maintained reporting across $15M+ in project portfolios by building a Spark financial system for recurring capital decisions