About Me
const engineer = {
name: 'Tinotenda Maisiri'
experience: 10,
focus: 'Scalable Cloud , Data & AI Solutions',
strengths: ['Problem Solver', 'Systems Thinking', 'Results Oriented'],
deliver: function () {
return (
this.strengths.includes('hardworker') &&
this.experience in Turning User Requirements into Technical Solutions
)
}
};
Provisioned a secure, multi-account landing zone with network segmentation, guardrails, and IaC pipelines to standardize deployments across teams.
Automated baseline services (VPCs, IAM, logging, backups) and cost controls, enabling teams to launch workloads in hours instead of weeks.
Migrated core workloads to a hybrid landing zone with VPN/Direct Connect, automated cutovers, and observability baselines.
Implemented IaC blueprints for repeatable VPC builds, backup policies, and guardrails to keep environments compliant.
Built cost dashboards and alerts for tagging hygiene, idle resources, and RI/Savings Plan coverage with automated remediations.
Aligned budgets to business units with chargeback reports and weekly variance digests for engineering leads.
Data Analytics/Engineering
Built an end-to-end data pipeline from ingestion to semantic layer, delivering self-serve revenue, churn, and cohort insights for sales leadership.
Modeled facts/dimensions, optimized queries, and automated refreshes to keep dashboards fresh with SLA-backed latency.
Ingested clickstream events into a streaming lakehouse, powering real-time KPIs and anomaly alerts for product teams.
Delivered curated feature stores and CDC feeds for downstream ML/BI consumers with SLA-backed freshness.
Implemented rules, contracts, and lineage views to detect schema drift and null explosions before they hit dashboards.
Surfaced data SLAs with incident workflows so owners get paged and issues are triaged fast.
Artificial Intelligence (AI)
Coordinated AI copilots that schedule sales meetings, balance workloads, and surface risk alerts for distributed teams.
Integrated LLM prompts, task orchestration, and guardrails to ensure accurate recommendations across CRM and analytics data.
Built an LLM copilot for support reps with retrieval from tickets, runbooks, and product docs to cut handle time.
Added guardrails, feedback loops, and red-team tests to keep responses safe and auditable.
Deployed monitoring for drift, data integrity, and latency with auto rollbacks and canary promotion policies.
Centralized experiment tracking and model registry with CI/CD to lower cycle time from notebook to prod.
My SkillsMy Work ExperienceEducationMaster of Science in Data Analytics and Visualization
BSc (Hons) Data Science and Informatics � GPA: 3.7
CertificationsAmazon Web Services
Microsoft
In today's fast-paced digital landscape, the intersection of design and marketing has become increasingly vital for businesses aiming to best captivate audiences and drive success. Crafting compelling designs.
Psychology and market trends. Through strategic marketing, these an designs are brought to life, leveraging data-driven insights innovative.