Nahuel Diaz
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Nahuel Diaz

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How does it work? Can it be automated?

Data and integration analyst with 7+ years in ITAccenture → LatynJul 2019 – today · support, integration and data. I like to understand how something works and, if possible, make it run on its own.

Things that used to be done by hand where I work. Tap one to see both versions.
Now
Grupo Latyn Argentina, since Oct 2025
I work with
Qlik · SQL Server · APIs · Python
Looking for
Data, integration and automation
Where
Buenos Aires · remote, hybrid or abroad

Experience

  • Grupo Latyn Argentina Strengths shown: Analytical, Harmony, Futuristic.

    Functional Analyst · Data and Integrations

    CurrentOct 2025 – present

    Data and BI, integrations and internal tools for Finance, Treasury, Logistics and Sales.

  • Acciona IT Strengths shown: Analytical.

    Functional Analyst

    Mar 2025 – Jun 2025

    Requirements gathering, functional testing and change validation.

  • Accenture Strengths shown: Analytical, Belief, Includer, Harmony.

    From Associate to Senior Analyst

    Jul 2019 – Mar 2025

    Three consecutive roles in support and integration architecture on Microsoft technologies.

    1. Jun 2024 – Mar 2025Business Architecture Senior Analyst

      Technical-functional lead in Argentina for Microsoft 365, SharePoint, SQL Server and Power Platform. Tier 3 support with teams in India and the Philippines within SLAs. Trained new team members.

    2. Jun 2021 – May 2024Business & Integration Architecture Analyst

      Global B2B support on SharePoint, SQL Server and Power BI. SQL Server validations, alerts with Power Automate and Teams, productivity reports.

    3. Jul 2019 – Jun 2021Business & Integration Architecture Associate

      Level 3 incidents in SharePoint, MS Project and Office 365. Support guides, technical documentation and ServiceNow tickets.

What I did

Bank fees Strengths shown: Analytical, Belief.

Before
The team calculated them by hand.
Now
A tool pulls the statements by API and calculates with configurable rules and automated tests, validated against the manual calculation.
  • Bank API
  • Python
  • SQL Server

Expense integration with the ERP Strengths shown: Harmony, Includer.

What I did
I built a web dashboard to monitor errors in the integration.
  • REST APIs
  • Web dashboard

QlikView to Qlik Sense Strengths shown: Analytical, Belief.

Before
Migrating one report by hand took 1 to 1.5 months.
Now
With a converter built with a colleague and with AI help, each report is ready in under a week. The automatic conversion takes about 1 hour 30 minutes (it took several iterations to get there); the rest is validating against the original and fixing filters and variables. A Data Warehouse decouples reports from the source system.
  • Qlik
  • SQL Server
  • Data Warehousing

ERP and WMS Strengths shown: Analytical, Harmony.

What I did
Diagnosis of interfaces and .NET APIs, log analysis and orderly reprocessing of errors.
  • .NET APIs
  • Logs
  • Jira

What I try

My own projects, built to understand how something works. I build several with AI help and review every result myself.

  • Implied FX rate Strengths shown: Futuristic, Analytical.

    Chrome · JavaScript

    Chrome extension that compares the MEP dollar with the prices of a watchlist of corporate bonds in USD and ARS inside the broker.

    View code on GitHub
    See how it works
    How it works
    1. Reads each bond's price in pesos and in dollars from the broker's watchlist.
    2. Fetches the MEP dollar from a public source and keeps it in memory for one minute.
    3. Adds two sortable columns, implied FX rate and % vs MEP, with configurable colors, and refreshes itself every few seconds.
    The calculation
    impliedRate = priceInPesos / priceInDollars
    vsMep = impliedRate / mep - 1

    Try itSample data

    Implied FX rate1,265.00% vs MEP+1.20%above MEP

    The same calculation the extension runs on every bond in the watchlist.

  • Financial terminal Strengths shown: Futuristic, Analytical.

    C# · .NET 8 · WPF · Python

    Bloomberg-style terminal for the Argentine market: real-time quotes, orders through a broker API, automated strategies and risk control. I prototyped it in Python first and then ported it to C#. Simulation only, no real money

    View code on GitHub
    See how it works
    How it works
    1. Receives real-time quotes over WebSocket and shows them in tables.
    2. Each strategy runs as a bot that can be switched on and off: CI vs 24h settlement arbitrage, MEP and CCL, PUTs, market making and automatic overnight lending.
    3. A risk manager and a simulation mode check every order before it is sent. Data is stored in SQLite and there are automated tests with xUnit.
  • Web terminal Strengths shown: Futuristic.

    Next.js

    Terminal prototype with market tables, backend calculations and an adapter for a broker API. Without credentials it runs on sample data.

    View code on GitHub
    See how it works
    How it works
    1. The backend queries the market snapshot by settlement term (CI or 24h).
    2. If no credentials are configured, the app works with sample data.
    3. Keys live in environment variables, never in the code.

Published prototypes

Who I am

My top five strengths according to the Gallup CliftonStrengths assessmentWhat is it?A Gallup assessment that identifies each person's natural talents. Opens the official site.. They describe how I tend to think, work and relate to others.

When something interests me I give it 110%. Tap a strength to see where it shows in my work.

Stack

Data and BI

  • Qlik Sense
  • Power BI
  • SQL Server and SSMS
  • ClickHouse (POC)
  • Excel

Integration

  • REST APIs and Postman
  • ERP ↔ WMS
  • Online banking via API
  • CDC with Airbyte (POC)
  • ERP ↔ Rindegastos

Automation

  • Power Automate
  • PowerShell
  • UiPath
  • VBA
  • Stored Procedures (SQL Server)

Platform

  • IIS and SQL Server jobs
  • Windows Server and Active Directory
  • Azure
  • SharePoint
  • Secrets management

Work

  • Git
  • Jira
  • ServiceNow
  • MS Project
  • Technical documentation

Applied AI

  • Knowledge bases (RAG)
  • AI-assisted documentation
  • AI-assisted development
  • Review and testing of AI-generated output
  • Prompts and agents (Claude Code, Codex)

Education

Certifications

Degrees

  • University Technician in Computer Networks and TelecommunicationsUniversidad Siglo 21 · 2021 – 2024
  • Bachelor's in Computer ScienceUniversidad Nacional del Oeste · 2018 – 2021 · not completed

Languages

  • SpanishNative
  • EnglishC2 (EF SET)
  • ItalianBasic

Where I'm heading

I want to keep moving toward where technology becomes infrastructure: data, integration, automation and development, with cloud as the next step.

Data teams

Modeling, Data Warehouse and reports that do not depend on a single person.

Systems integration

APIs, ERP, banks and vendors speaking the same language.

Automation with AI

Flows and assistants on top of the documentation and data that already exist.

Got something in mind? Let's talk.

Nahuel Diaz

I read these myself, no bots

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