Richard P.-Cloud Solution Architect | Data, AI & DevOps | Azure · AWS | Enterprise Platforms
Check rate
Experience
AI Platform Engineer
Everhold HQ (Triggr Platform)
- Designed and deployed AI-driven automation across 17 client organizations, integrating the Claude API and MCP servers so AI processing ran inside production workflows, and building an AI QA agent with enforced read-only guardrails to verify executions and config without write access.
- Diagnosed production failures by reading the platform's Go source rather than inferring from logs, including a request helper that discarded response bodies and treated any 2xx as success, so an accepted-but-async permission grant was indistinguishable from a silent failure.
- Owned the DevOps and infrastructure on AWS: GitLab CI pipelines, Terraform, Docker on EC2, and observability with OpenTelemetry into the LGTM stack; shipped through an AI-driven development lifecycle with human review and safety gates
- Built 50+ production automation workflows and internal apps across 10+ client organizations, replacing manual operations (onboarding/offboarding, billing reconciliation, compliance monitoring) with self-running systems.
- Architected a multi-integration platform connecting Pax8, Autotask, Datto RMM and CIPP with auto-remediation and a multi-tenant dashboard, against a stack spanning Microsoft Graph, Exchange Online over delegated admin, ConnectWise, Sherweb, Ramp and QuickBooks Online
- Rebuilt a failing high-volume data export as a resilient integration pipeline with OAuth token handling, vendor matching, pagination, and idempotency, after the original tooling could not handle the volume.
- Built a standardized testing and release process: PowerShell setup/verify/teardown scripts and a multi-agent QA pipeline gating every change before handoff.
- Architected a multi-integration platform connecting Pax8, Autotask, Datto RMM and CIPP with auto-remediation and a multi-tenant dashboard, against a stack spanning Microsoft Graph, Exchange Online over delegated admin, ConnectWise, Sherweb, Ramp and QuickBooks Online.
Microsoft Azure Files SMB & Data Specialist
FTMIT
- Designed production-grade, zero-trust Azure Files SMB architecture over private endpoints with Cloud Kerberos for regulated financial-sector clients; automated role assignments at scale via PowerShell (NIST/CIS/ISO 27001-compliant)
Senior DevOps Engineer & Automation Specialist
First Focus Technology Inc.
- Designed and governed Azure Data Factory ETL/ELT pipelines ingesting terabytes of structured and unstructured data, secured end-to-end with Managed Private Endpoints and Key Vault under ISO 27001 and CIS controls
- Architected an enterprise data lakehouse platform using Azure Databricks (Apache Spark) for petabyte-scale transformations, leveraging Delta Lake for ACID-compliant storage and PySpark for complex ETL unifying batch and streaming data into a single analytical foundation
- Engineered Spark Structured Streaming pipelines integrating with Apache Kafka for real-time event ingestion from ConnectWise and ITGlue, enabling near-real-time operational dashboards and reducing data latency from hours to minutes
- Optimized Spark workloads through strategic partitioning, broadcast joins, and cluster auto-scaling, cutting compute costs while maintaining performance on terabyte-scale datasets
- Architected an enterprise RAG data platform (Azure Data Factory → Azure Document Intelligence → Azure AI Search vector indexes), replacing a licensed tool and saving six figures in annual licensing while keeping data in-tenant
- Built the ConnectWise and ITGlue data environment on Azure SQL, consolidating service-delivery, asset, and agreement data into a single reporting foundation for the client base
- Delivered Power BI reporting over that environment, giving service delivery and finance teams self-serve visibility in place of manual extracts
- Developed ConnectWise out-of-scope billing automation using the ConnectWise API, Python, SQL, and PowerShell, plus a reconciliation suite that cut reconciliation time by over 90% across 500+ agreements
- Worked in Microsoft Fabric alongside the Azure data estate as the platform consolidated onto it
- Built 25+ automation packages on Pia (pia.ai), the AI-led MSP service-delivery platform
- Led Azure Landing Zone deployments and hybrid connectivity (Azure Arc, ExpressRoute, Private Link) across client environments
Cloud Solution Consultant (Independent)
Microsoft & AWS
- Architected and delivered end-to-end cloud data platforms for finance and professional-services clients, designing Azure Landing Zones with built-in security guardrails (Private Endpoints, Key Vault, Entra ID, Defender for Cloud) and cost-optimized compute/storage strategies across multiple tenant environments
- Modernized legacy data estates by architecting streaming and analytics pipelines using Apache Kafka for high-throughput event ingestion, Azure Databricks (Apache Spark) for petabyte-scale ETL/ELT transformations with Delta Lake, and Azure Data Factory for orchestration reducing batch processing windows from hours to minutes for multiple enterprise clients
- Led "journey to cloud" roadmaps and presales workshops, delivering RFP/RFI responses, POC/dev/staging environment setups, and security/compliance frameworks aligned with ISO 27001, NIST, and CIS Benchmarks ensuring Zero Trust and least-privilege access across all data services
- Engineered hybrid and cloud-native solutions including Azure Files SMB, ExpressRoute, and Azure Arc, while integrating Spark Structured Streaming with Kafka for real-time operational dashboards and Power BI reporting models that enabled self-serve analytics for business and operations teams
- Automated infrastructure and data pipeline deployments using Terraform and Bicep with CI/CD (GitLab CI, Azure DevOps, GitHub Actions), and established monitoring, backup/restore, and disaster recovery strategies for mission-critical SQL Server and Azure SQL workloads
Product Manager
SukiCardWallet
- product and platform strategy with a full-stack DevOps focus. work closely with Product Engineers to ensure the creation of quality products and consult with marketing professionals about how to market products to the public.
Senior Manager, Platform Engineering & Cloud Migration
Accenture
- Infrastructure Services technology lead in the CIO organization: architected and designed the technical migration approach, standardizing procedures and processes for the global datacenter migration to public cloud (AWS and Azure)
- Delivery Lead for CIO Infrastructure and Operations: managed end-to-end delivery of solution-management accounts, interfacing with QA and enterprise application portfolio owners, and meeting deliverable and SLA/SLO targets
- Led the Application Platform Engineering team designing, building, and transforming infrastructure-as-a-service offerings as part of the CIO Digitalization initiative
- Designed and built the CIO web analytics platform (Piwik, Kafka, Elasticsearch, Kibana) as an infrastructure-as-a-service: Kafka producers/consumers and Kafka Connect for data ingestion, indexed in Elasticsearch and visualized in Kibana, on Docker Compose-managed infrastructure (2013–2016) a precursor to modern streaming data platforms
- Delivered enterprise Java/J2EE, Spring, and Oracle SOA Suite/BPEL integration solutions during earlier tenure
- Recipient, Accenture Gantimpala Business Operator Award (2014)
Technical Support Team Leader / System Integrator
LG CNS
- data center operations and systems integration for the Philippines' Land Titling System; database administration on SQL Server (Microsoft and Sybase) and Oracle
EDP/MIS Supervisor
Dae Ryung Ind.
- ERP delivery and customization; Unix HP-UX administration; led a local and Korea-HQ IT team
- Provisioning servers, managed applications, database ,network, system Keeping business applications available, correctly configured, responsive, and connected to their dependencies.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Manufacturing, Banking and Finance, Professional Services, and Government and Administration.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Operations, Project Management, Sales, and Finance.
Summary
Twenty years across IT consulting, solution architecture, enterprise applications and cloud infrastructure, most recently in DevOps and platform engineering. Now works forward-deployed: embedded with the customer, diagnosing what is actually broken before building anything. Recent work is production AI, an enterprise RAG platform grounded in a company's own documents, and LLM integration (Claude, OpenAI) with MCP servers running inside production workflows across multi-tenant client environments.
Skills
Data Platform & Orchestration:
Microsoft Fabric
Azure Databricks (Unified Analytics, Delta Lake, Cluster Management)
Apache Spark (Pyspark, Spark Sql, Structured Streaming, Performance Tuning)
Azure Data Factory (Etl/Elt, Pipelines)
Azure Sql
Azure Ai Search
Azure Document Intelligence
Data Pipeline Design At Terabyte Scale
Managed Private Endpoints
Key Vault
Apache Kafka (Producer/Consumer, Kafka Connect)
Elasticsearch & Kibana
Analytics & Semantic Layer:
Power Bi
Tableau
Databricks Ai/Bi Dashboards
Genie (Natural Language Q&A)
Sigma Computing
Looker
Reporting Data Models
Self-Serve Reporting For Business And Operations Teams
Devops & Infrastructure As Code - Azure:
Terraform
Bicep
Arm Templates
Azure Landing Zones (Alz)
Azure Arc
Expressroute
Private Link
Azure Devops (Pipelines, Repos, Artifacts, Boards)
Infrastructure Automation
Git-Based Workflows
Immutable Infrastructure
Environment-As-Code (Dev/Staging/Prod)
Devops & Infrastructure As Code - Aws:
Terraform
Aws Cloudformation
Aws Cdk
Ec2
Rds
Elb (Alb/Nlb)
Cloudfront
Cloudwatch
Auto Scaling
Vpc
Iam
S3
Aws Systems Manager
Aws Cli
Aws Codepipeline
Codebuild
Codedeploy
Ci/Cd & Gitops - Gitlab & Cross-Platform:
Gitlab Ci/Cd (Pipelines, Runners, Stages, Jobs, Artifacts, Caching, Environments)
Gitlab Duo (Ai-Assisted Devsecops)
Github Actions (Workflows, Actions, Self-Hosted Runners)
Azure Pipelines (Yaml, Release Gates, Multi-Stage)
Gitops (Argocd / Flux - Conceptual)
Artifact Management (Jfrog, Nexus)
Container Registries (Acr, Ecr, Docker Hub)
Trunk-Based Development
Feature Flags
Languages & Transformation:
Sql (T-Sql)
Python (Pyspark, Pandas, Boto3)
Powershell (Azure, Aws)
Bash/Shell
Rest And Api-Based Ingestion
Database Engineering & Dba:
Enterprise Sql Server Migrations (100+ Servers)
Always On Ags, Log Shipping, Replication
Backup/Restore + Dbatools Automation
Azure Sql (Dms, Managed Instance, Vm)
Ssis/Ssrs And Server-Object Migration
Dbcc / Query Store Validation
Schema Design, Indexing And Query Performance
Oracle, Sql Server (Microsoft And Sybase), Mysql
Amazon Rds (Sql Server, Postgresql, Mysql)
Amazon Aurora
Data Security & Compliance:
Iso 27001
Cis Benchmarks
Nist
Managed Private Endpoints
Key Vault
Entra Id
Defender For Cloud
Purview (M365 Administration)
Zero Trust
Least-Privilege Access
Aws Iam (Roles, Policies, Sso)
Aws Kms
Aws Waf
Aws Shield
Security Hub
Guardduty
Cloud & Platform:
Azure (Deep)
Aws (Deep - Ec2, Rds, Elb, Cloudfront, Cloudwatch, Vpc, Iam, S3, Systems Manager)
Ai & Automation:
Enterprise Rag (Azure Document Intelligence + Ai Search)
Llm Integration (Claude Api, Openai)
Mcp Server Development
Microsoft Graph & Rest/Webhook Integration
Make.Com
Ai-Assisted Development (Claude Code, Kiro)
Languages
Education
San Sebastian College - Recoletos
BS Business Administration · Computer · Manila, Philippines
Certifications & licenses
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Richard is based in Bacoor, Philippines and can operate in on-site, hybrid, and remote work models.
Richard speaks the following languages: Tagalog (Native), English (Advanced).
Richard has at least 31 years of experience. During this time, Richard has worked in at least 8 different roles and for 8 different companies. The average length of individual experience is 4 years and 11 months. Note that Richard may not have shared all experience and actually has more experience.
Based on recent experience, Richard would be well-suited for roles such as: AI Platform Engineer, Microsoft Azure Files SMB & Data Specialist, Senior DevOps Engineer & Automation Specialist.
Richard's most recent position is AI Platform Engineer at Everhold HQ (Triggr Platform).
In recent years, Richard has worked for Everhold HQ (Triggr Platform), FTMIT, First Focus Technology Inc., and Microsoft & AWS.
Richard is most experienced in industries like Information Technology, Manufacturing, and Banking and Finance. Richard also has some experience in Professional Services and Government and Administration.
Richard is most experienced in business areas like Information Technology, Business Intelligence, and Operations. Richard also has some experience in Project Management, Sales, and Finance.
Richard has recently worked in industries like Banking and Finance, Professional Services, and Information Technology.
Richard has recently worked in business areas like Information Technology, Business Intelligence, and Sales.
Richard holds a Bachelor in Computer from San Sebastian College - Recoletos.
Richard has 1 certificate: ITIL v3 Foundation.
Richard is immediately available full-time for suitable projects.
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The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 27 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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