End-to-End Process Automation
PowerShell, Python, CI/CD pipelines, infrastructure-as-code, automated onboarding and offboarding, CRM enrichment, compliance reporting, API integrations — work that scales without growing the team to match.
The Approach
The work that grows linearly with headcount is the work that limits the business. Onboarding a new joiner across five systems. Pulling a compliance report every Monday. Enriching CRM records by hand. Pushing a release to production through a manual change board. Each step is small; together they are why teams need to double to ship the same throughput.
My approach is unsentimental about automation. PowerShell where it belongs, Python where it scales, CI/CD where the change is code, infrastructure-as-code where the platform deserves discipline. The output is not a magic robot — it is a set of pipelines, scripts, and integrations that retire the repetitive 70% of operational work and let the team focus on the 30% that needs judgement.
Past engagements automate joiner-mover-leaver across M365 and identity, run CRM enrichment off external data sources, ship CI/CD pipelines that deploy without ceremony, generate compliance reports on a schedule, and stitch APIs together until the manual rekeying disappears. The team doesn't shrink — it stops growing for the wrong reasons.
Capabilities In Scope
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CI/CD Pipelines
Build / test / scan / deploy pipelines with automated rollback. Production change becomes routine, not a ceremony.
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Infrastructure-as-Code
Terraform, Bicep, PowerShell DSC — environments described in code, reproducible, reviewable, and recoverable.
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Joiner / Mover / Leaver Automation
Onboarding and offboarding across M365, identity, telephony, CRM, and ticketing — fired by HR, completed in minutes.
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CRM Enrichment & Sync
External data sources stitched into the CRM automatically — lead quality goes up, manual rekeying goes away.
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Compliance Reporting
Audit evidence collected and packaged on a schedule — the report is ready before the auditor asks for it.
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Operational Telemetry
Cron jobs that matter, alerts that trigger on outcomes not noise, and dashboards that show what is automated and what is not.
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API Integrations
Webhooks, queues, retry logic, idempotency — the unglamorous engineering that makes integrations production-grade.
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Secrets & Pipeline Hardening
Vault-backed secrets, signed artifacts, pinned dependencies — the supply chain treated like code that ships to production, because it does.
Engagement Roadmap
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01
Process Mapping
Walk the manual workflows. Time them. Find the steps that are repeated, fragile, or routinely cause incidents.
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02
Automation Targets
Pick the ones with the largest time-saving and lowest operational risk. Sequence the rest behind them.
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03
Build & Integrate
Scripts, pipelines, and integrations engineered with the same discipline as production code — version control, review, tests.
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04
Pilot in Production
Run automated alongside manual until the metrics agree. No automation ships without a measurable baseline.
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05
Cutover & Decommission
Retire the manual workflow. Document the new one. Train the team on the runbook for when the automation breaks.
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06
Continuous Improvement
Quarterly review of the automation portfolio — what saves the most time, what breaks the most often, what should retire next.
Measurable Impact
Numbers from real engagements in this domain.
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Manual Hours Eliminated
On the targeted workflows after the first round of automation lands.
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Mean Onboarding Time
From HR submission to fully provisioned across M365, identity, CRM, and telephony.
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0
Deploy Failures Rolled Back
Automatically — the pipeline rolls back without paging anyone.
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Audit Reports Auto-Generated
Of recurring compliance reporting on a published schedule.
Stack & Tooling
- PowerShell
- Python
- Git
- GitHub Actions
- Azure DevOps
- Terraform
- Bicep
- Docker
- REST APIs
- Webhooks
- Graph API
- Bash
Let's Talk Automation & DevOps
Tell me the constraint, the timeline, and the outcome. I respond personally within 24 hours.