AI Deploy Network
Ermar Palma

AI Deploy Network / Builder

Ermar Palma

Data Engineering Manager

PhilippinesLeadAvailable Within 2 Weeks

Published evidence

1 AI Deployment

1 publicly identified

01

About Ermar

Data Engineering Manager with 15+ years of IT experience, including 9+ years building enterprise data platforms and 8+ years designing cloud-native AWS solutions. Extensive expertise in architecting modern data ecosystems using Snowflake, AWS, Azure Data Factory, dbt, Kafka, Python, and SQL. Proven leader in building high-performing engineering teams, driving cloud migration strategies, establishing engineering standards, and delivering scalable, secure, and governed data platforms that power enterprise analytics and business growth. Experienced in leveraging AI-powered engineering tools including Snowflake Cortex/CoCo, Atlassian Rovo, Claude, GitHub Copilot, and ChatGPT to accelerate software development, data engineering, documentation, code reviews, troubleshooting, and solution design, improving team productivity and delivery quality.

Professional profile

Location
Philippines
Time zone
Asia/Manila
Work mode
Remote
Availability
Available Within 2 Weeks
AI experience
3+ years
Industry experience
20+ years
Languages
English
Typical response
Within 24 hours
Travel
Occasional travel

02

Proven on the network

Implementation records and publicly available work, where published.

1 AI Deployment delivered, including 1 publicly identified implementation available to inspect.

Reported business outcomes
  • Hours Automated1 hours

    period not specified

    Automated 1 hours (period not specified)

Builder-reported outcomes, recorded on deployment and case study records that AI Deploy Network reviewed before publication. AI Deploy Network does not currently capture a measurement basis or calculation methodology for reported outcomes, so none is shown.

03

What Ermar builds

Implementation domains listed on this profile. Evidence-supported items are identified separately below.

Specialisations

AI Analytics

Builder-listed deployment types

  • Forecasting & Prediction

04

AI Deployments

Real AI implementations demonstrated through evidence.

01 / AI DeploymentPublished record

Forecasting & Prediction of supply for Oil/Gas Companies

Deployed an AI forecasting system that predicts well production decline and equipment failure risk across upstream assets, combining time-series models with LLM-generated operator reports — reducing unplanned downtime and improve production planning.

1 hours automated

Oil & Gas · Forecasting & Prediction

View Deployment

05

Implementation capabilities

Evidence-supported means linked to a published Deployment or Case Study; other capabilities are Builder declared.

Evidence-supported

  • Forecasting & Prediction1 record

Builder declared

  • AI Analytics

06

Technology

Technologies listed by the Builder, distinguished by published evidence.

Evidence-supported

    No published evidence linked yet.

    Builder declared

    • .NET
    • AWS
    • Amazon Bedrock
    • Amazon S3
    • Anthropic Claude
    • Apache Airflow
    • Apache Kafka
    • Auth0
    • Azure AI Foundry
    • BigQuery
    • CapCut
    • Claude Agent SDK
    • Claude Code
    • Confluent
    • Cosmos DB
    • Databricks
    • Docker
    • Docker Swarm
    • DynamoDB
    • Google Analytics
    • Google Cloud
    • Hugging Face AutoTrain
    • Kubernetes
    • Microsoft Azure
    • Microsoft Entra ID

    07

    Industry experience

    Published Deployments support the listed counts. Other industries are Builder declared.

    Oil & Gas

    1 published Deployment

    Cloud & Infrastructure Providers

    Builder declared

    Data & Analytics

    Builder declared

    FinTech

    Builder declared

    IT Services & Systems Integration

    Builder declared

    Software & SaaS

    Builder declared

    08

    Trust & verification

    A closer look at how this profile and its evidence are reviewed.

    Verified Builder

    Published evidence is reviewed against the AI Deploy Network Evidence Standard.

    How verification works
    Verified

    Verified Builder

    Independently reviewed by AI Deploy Labs against the platform Evidence Standard.

    How this is verifiedWhat the platform has established, and what remains builder-declared.
    Identity and organisation
    Identity checks confirm that the person presenting this profile controls the account and the professional identifiers attached to it, such as a LinkedIn profile. Organisation membership is confirmed by the organisation, not self-declared by the builder.
    AI Deployments
    An approved AI Deployment is an implementation record the builder submitted and the platform reviewed against the Evidence Standard before publication. Approval confirms the record is complete, coherent and consistent with the supporting material provided — it is not an audit of the client's systems.
    Business outcomes
    Outcome figures are recorded by the builder on the deployment or case study that produced them, and are reviewed at publication. Aggregates shown on this profile are calculated from those approved records only.
    Evidence
    Supporting evidence comes from the records the builder published on this platform: approved AI Deployments, published AI Case Studies, verification outcomes and organisation participation.
    Currency
    Older evidence continues to count and is never removed. Recency is presented separately through Professional Currency so that current expertise can be assessed alongside historical work.
    Traceability
    Every figure on this profile can be followed to the record that produced it. Open the linked AI Deployment or AI Case Study to read the outcome exactly as it was reported.

    The platform does not independently audit client systems or financial records. How this is verified

    Professional record and further evidence

    Professional Certifications

    Some recognition

    • SnowPro Core Certification

      Snowflake

      Issue date not specified

    • Lean Six Sigma Yellow Belt

      Nievgen

      Issue date not specified

    Ready to discuss your AI implementation?

    Tell Ermar Palma what you are trying to automate and the outcome you need. Your message goes directly to the builder, with a copy kept in your Organisation Workspace.