Senior Data Analyst & Data EngineerQuito, EC · US business hours

Your entire data stack, owned by one engineer.

From raw sources to AI agents: extraction, pipelines, modeling, warehousing, dashboards, and deployment. One accountable system, zero handoff gaps.

Portrait of Dylan Salas
Dylan Salas
Job Success Score
100%
Upwork badge
Top Rated Plus
Jobs completed
103
Hours worked
14,272
Earned on Upwork
$100K+
01Stack

Every stage, one person.

Most data projects break at the handoffs. I build and run the whole path, from the first extraction to the AI agents and automations that act on the results. Nothing gets lost along the way, and your data doesn't just sit waiting to be read.

  1. 01 · SOURCESSources
  2. 02 · INGESTIngestion
  3. 03 · STOREWarehouse
  4. 04 · MODELModeling
  5. 05 · SERVEBI
  6. 06 · ACTIVATEAI & activation
ACROSS ALL STAGESDocumentation & governanceVersioned code, catalog, lineage, semantic definitions, and data quality monitoring.
02What I solve

New builds, broken systems, and everything in between.

/build

Build from scratch

Infrastructure planning, vendor selection, pipelines, modeling, dashboards, and deployment.

/fix

Fix what's broken

Downed dashboards, broken ETL, lost connections, slow models, and visuals nobody reads.

/centralize

One warehouse

Spreadsheets, CRM, accounting, ads, project tools, APIs. Cleaned and centralized into one source of truth.

/define

Business rules, written down

Definitions, priorities, and edge cases documented before the first chart, so the numbers mean one thing.

/ai

AI without hallucinations

Deterministic automations where they matter, so agents stop reinventing the wheel on every query.

/activate

Data that works for you

Alerts, next actions, and automations triggered via API, webhooks, or MCP. Your data stops waiting to be read and starts doing the work.

03Selected work

Real systems, explained.

Wholesale import3 monthsAI agents

AI agents for an accounting department

A large importer of agricultural inputs had an accounting team drowning in manual work. Supplier invoice entry went from 2 to 4 hours a day to 30 minutes at most. Monthly bank reconciliation went from two weeks for two people to 4 hours.

Read the case
Enterprise SaaS2 yearsDOMO

The custom reporting department of an enterprise SaaS

For two years, on demand and reporting to the CTO, I turn ambiguous client requests into clean, automated DOMO reports. One fix cut the virtual-row consumption of shared reports by 80%.

Read the case
Deck5 cases

5 data-driven turnarounds and growth cases

Interactive deck · 5 cases
Loads an embedded Gamma presentation
04Track record

What clients say after the contract ends.

Every review below is quoted verbatim from a closed Upwork contract, attributed to the job title.

Selected reviews from 103 jobs · 100% Job Success · Top Rated PlusRead every review on Upwork ↗ (opens in a new tab)
05How we work

Scoped up front. Planned before it is built. Maintained after.

  1. STEP 01

    Scope

    Scope, milestones or hours, and budget agreed up front. Contract, payments, and history stay protected.

  2. STEP 02

    Plan

    Sources, definitions, business rules, and priorities mapped and signed off before anything is built.

  3. STEP 03

    Build and ship

    Delivered in increments, with progress you can see at every milestone.

  4. STEP 04

    Documentation

    Pipelines, models, and business rules documented, so your team understands and owns what was built.

  5. STEP 05

    Monitoring and maintenance

    Pipelines and dashboards watched after launch. When something breaks, changes, or grows, it gets fixed fast by someone who already knows the system.

Response time
0 to 4 hours, Monday to Friday
Calls
Same or next business day
Timezone
Quito (UTC-5). Best collaboration with teams from UTC-8 to UTC-2 (up to 3 hours either way).
How to start
Reach out on the channel you prefer: Upwork, LinkedIn, email, or WhatsApp.
06About

I make sure every byte moves, speaks, and acts, reliably.

I own your data infrastructure end to end: source extraction, pipelines, modeling, warehousing, dashboards, deployment, and AI.

When AI is part of the answer, I connect agents to real data and keep the repeatable parts deterministic, so the model doesn't reinvent the wheel on every query.

07Credentials

Official credentials.

  • BYU-Idaho Online

    Bachelor's Degree in Data Science

    In progress
  • Upwork

    Skill Certification: Data Science

    Aug 2024
  • Upwork

    Skill Certification: Data Analytics

    Aug 2024
  • Udemy

    Certificate in Data Science

    Jul 2023
  • Carlos Slim Foundation

    Data Analyst Certificate

    Jul 2023
Next step

Have a data problem? Let's scope it together.