Vetted Dashboarding Professionals

“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”

“Built and deployed a production chatbot on osvaldocalles.com and iterated through real-world LLM engineering issues: model quota/cost tradeoffs (migrating to Nova Pro), RAG accuracy via semantic chunking, AWS IAM/guardrail/security pitfalls, and Lambda/API Gateway streaming constraints (prefers JS for streaming layer). Experienced with agent orchestration using Strands SDK (AWS-focused) and LangGraph (Vercel/container deployments), plus evaluation pipelines using LLM-as-evaluator, dashboards, and staged model rollouts.”

“Product and consumer growth professional from a B2C app background, focused on improving retention/activation and driving revenue through customer/product data. Experienced in maintaining BI layers and dashboards and running KPI-driven analysis across returns/refunds operations (NPS/CSAT, TAT, repeat complaints). Familiar with core F2P monetization mechanics and how to evaluate IAP offers via A/B testing; has shipped/managed products on mobile and web.”

“Finance professional (Citi) blending strategic account work with hands-on analytics/automation: led Asia’s first digital banking conferences and delivered 6 institutional client acquisitions. Built self-serve dashboards/VBA tools and self-taught Python to create an ML classifier still used daily, and uncovered ~$5M in untapped annual revenue. Experienced partnering with compliance/legal and navigating sensitive regulatory information in FX markets.”

“Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.”

“Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.”

“Engineering leader (Director of Development) with hands-on cloud and product experience who builds business-aligned technology roadmaps and scales teams. Delivered an enterprise cloud-migration enabler at UHG by implementing AD authentication and Terraform-based IaC for custom VM images while meeting 90-day InfoSec patch/rotation requirements, and drove a 20% lift in user consumption/retention by designing an interactive branded media portal experience for Sunkist.”

“People/HR leader (HRBP-style) with strong compliance and change-management experience, including leading an FLSA exempt-to-non-exempt reclassification for SMB sales AEs and implementing time tracking/overtime in Rippling with zero compliance findings. Uses systems thinking and people analytics to redesign performance frameworks and reduce regrettable attrition (30% drop in two quarters), and coaches senior leaders using data-driven methods (GROW) to improve engagement and build leadership bench.”

“Hands-on Python/IoT engineer with experience spanning research labs and autonomous vehicles (Zoox), focused on making data/decision-support systems reliable in production. Has deployed and Dockerized Python tools with pinned dependencies, built sensor-based on-prem data collection systems (aquafeed evaluation), and troubleshot telemetry issues down to a failing switch port using logs, multimeter checks, and network diagnostics.”

“Strategic enterprise Customer Success leader from Atlassian Cloud managing a >$10M ARR, ~33k-user account end-to-end, driving measurable adoption (+12%), services expansion (+30%), and strong satisfaction (4.5/5). Experienced leading cross-functional deployments of AI agents (Rovo) and Forge-based integrations, and translating enterprise governance needs (e.g., RBAC at scale) into roadmap-shaping product requirements.”

“Recruiting leader with experience in both large-scale financial institutions (Morgan Stanley/JPMorgan) and a high-growth fintech (CAIS), including managing a 12-person recruiting team and staying hands-on with executive searches. Led a high-visibility Director of Finance search reporting to the President and drove process modernization by implementing AI tools (BrightHire, Metaview) to standardize interviews and improve sourcing. Regularly partners with HRBPs and C-suite leaders on restructuring, compensation alignment, and strategic talent pipeline programs (internship redesign with intern-to-FT conversions).”

“Senior Technical Recruiter with 15 years’ experience (including 3 years people management) at Amazon, partnering closely with business, finance, and HR on headcount planning, approvals, and hiring strategy. Known for operational problem-solving—redesigned a stalled Solutions Architect workflow (JD + interview panel) to cut time-to-fill to 67 days—and for scaling hiring under pressure (350 hires/quarter) while maintaining quality standards.”

“Backend/data engineer with strong AWS production experience spanning high-traffic FastAPI APIs (Postgres/Redis/Kafka) and serverless+container deployments (Lambda/ECS) managed via Terraform and CI/CD. Has built Glue-based data lake ETL (S3 Parquet, Athena/Redshift) with schema drift/data quality controls, modernized legacy batch systems via parallel-run parity validation, and demonstrated measurable SQL performance wins (60–90s down to 3–5s).”

“Talent Acquisition Operations leader with experience at Uber and Workday spanning global hiring process reengineering, ATS/analytics implementations (iCIMS, Tableau, Paradox), and large-scale recruiting coordination leadership. Managed a 90+ person coordination organization across North & Latin America and redesigned the operating model (queue to pods) to double productivity while maintaining strong stakeholder experience.”