Facundo Iannello

Analytics Engineer

Professional Summary

Analytics Engineer with 6+ years designing and delivering end-to-end data solutions.

From architecture through implementation to BI and self-service analytics. I partner with business stakeholders to translate requirements into scalable, well-documented data platforms that drive decisions.

What I'm best at:

  • Stakeholder-driven analytics: Partner with business teams to define KPIs and self-service reporting while elevating quality through engineering best practices.
  • Dashboards & decision layers: Deliver trusted reporting in Tableau, Power BI, Looker, or Looker Studio—adapting to each organization's existing tooling.
  • Data quality & reliability: Implement validation, freshness SLAs, anomaly detection, and monitoring to ensure consistent, trustworthy data.
  • Data ingestion & integration: Connect SaaS apps, databases, and other source systems via managed connectors (Fivetran, Datastream) or custom pipelines (Airflow).
  • Modeling & transformation (dbt): Build modular SQL transformations (stg → int → marts) with tests, dbt docs, and CI validation.
  • Orchestration & CI/CD: Schedule and monitor pipelines; enforce quality gates via GitHub Actions CI for dbt and data tests.

Technical Skills

Languages: Python, SQL (multiple dialects), Jinja

Transformation: dbt (modeling, testing, docs)

Orchestration: Airflow, Composer, GitHub Actions

Cloud: GCP (expert), AWS (experienced), Azure (familiar)

Warehouses: BigQuery, Redshift, Synapse

BI & Visualization: Looker, Tableau, Power BI, Looker Studio

Infrastructure: Terraform, Docker, CI/CD pipelines

Recent Professional Experience

UJET

Embedded Analytics Engineer

September 2024 - Present • San Francisco Bay Area, United States - Remote

  • Operated and enhanced a multitenant embedded analytics platform using Looker, LookML, MySQL, and GitHub CI, serving 52 customers and 300+ hourly users with 50+ dashboards and real-time data refreshing every 20 seconds, processing 200k+ queries per hour for a B2B SaaS CCaaS company.
  • Optimized query performance and reduced infrastructure costs by implementing LookML best practices, refactoring legacy code for performance improvements, and building monitoring and alerting systems—reducing average query runtimes by 55% and database query volume by 75% to improve user experience across the platform.
  • Increased metrics reliability by developing a full unit test suite for LookML transformations and implementing CI validation for dashboard rendering. Established semantic standards and LLM-based documentation to enable end users to quickly understand data models within the self-service BI platform.
  • Leading migration of 100+ LookML views to dbt models and transitioning from MySQL to BigQuery to enhance product capabilities and query performance.

Tech Stack: Looker, BigQuery, MySQL, dbt, GitHub CI, LookML

Cloud-native CCaaS platform powered by AI, unifying omnichannel support with automation and intelligence.

Andela

Analytics Engineer

April 2022 - April 2024 • New York, United States - Remote

  • Built a trusted enterprise data platform from early stages using dbt, Airflow, Fivetran, and GCP, integrating 30+ data sources with standardized ingestion patterns and predictable delivery timelines for a global talent marketplace.
  • Redesigned a legacy dbt implementation by introducing CI validation via GitHub Actions, scalable coding patterns, version control processes, and comprehensive documentation—reducing pipeline runtime, eliminating constant bugs, and enabling self-service analytics for business teams.
  • Collaborated weekly with the Product Analytics team to co-develop Looker dashboards used by upper management, showcasing adoption metrics for the AI-based talent-to-job matching system and strengthening relationships with business stakeholders.
  • Internalized GCP infrastructure using Terraform, ensuring secure and repeatable environment provisioning while absorbing data engineering responsibilities after team restructuring.

Tech Stack: GCP, dbt, Terraform, Airflow, Fivetran, Python, Looker

Global talent marketplace with 150K+ developers across 135+ countries, serving 600+ clients; unicorn status ($1.5B) after a $200M Series E.

Trafilea

Senior BI Data Analyst

June 2020 - April 2022 • Montevideo, Uruguay - Remote

  • Led the Marketing analytics vertical within the BI team using Tableau and Redshift, partnering with Acquisition, Retention, and Growth teams through weekly performance reviews, deep-dive analyses, and actionable insights to optimize day-to-day operations for a D2C e-commerce company with 10M+ customers.
  • Built and maintained 50+ dashboards, including Board of Directors reporting used to support weekly, monthly, and quarterly business reviews, establishing the company-wide source of truth for key metrics.
  • Developed Marketing attribution models and Google Analytics reporting to enable data-driven budget optimization, supporting every major marketing decision across three teams.
  • Supported the Growth team with A/B test reporting and experiment analysis, standardizing KPI frameworks to measure and communicate test results to stakeholders.

Tech Stack: AWS (Redshift, RDS, Athena, S3), Tableau, Python, Airflow

Direct-to-consumer e-commerce group (Shapermint, Truekind) scaled from 0 to $200M+ in 5 years; Shapermint reached 10M+ customers and sold 22M+ units.

Zigla

Data Analyst

June 2019 - June 2020 • Buenos Aires, Argentina

  • Served multiple clients simultaneously, working directly with business stakeholders on data cleaning, transformation, and dashboard delivery—including clients on GCP, Azure Synapse and Snowflake environments.
  • Led end-to-end digital transformation projects: discovery → roadmap → delivery → change management.
  • Delivered complete reporting environments: data ingestion, modeling, and BI dashboards with clear KPIs.
  • Automated recurring ETL/ELT processes, replacing manual workflows and reducing reporting times.
  • Trained client teams through workshops and playbooks, enabling sustainable self-service analytics.

Tech Stack: Python, SQL, Azure Synapse, Power BI, Tableau, Salesforce

Consultancy supporting non-profit organizations (UNICEF, United Nations, Barkey Foundation, Disney Foundation) in building intelligent systems.

Education

Master's in Data Mining & Knowledge Discovery

Universidad Austral, Argentina • 2018 - 2019

Bachelor's in Economics

University of Buenos Aires • 2013 - 2017