Facundo Iannello

• Operate the analytics layer for a B2B SaaS product serving thousands of users and hundreds of thousands of queries/day, ensuring reliability SLAs.
• Design and maintain embedded analytics products at scale in Looker; manage LookML models, content governance, and release cycles.
• Improve query performance and cost efficiency in MySQL (Cloud SQL) and BigQuery through refactoring and tuning.
• Build dbt models with incremental strategies and GitHub-based CI for validation.
• Define semantic standards, KPI definitions, and documentation across analytics layers.

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

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

• Designed scalable analytics architectures spanning ingestion, transformation, semantic layer, and BI—adapting patterns across GCP and client environments.
• Delivered scalable data lakes and ingestion pipelines in GCP with reliable, documented datasets.
• Implemented Infrastructure as Code (Terraform) for secure, repeatable environment provisioning and management.
• Automated analytics workflows (QA, deployments, modeling standards) to accelerate delivery and quality.
• Designed Looker Explores and dashboards for Product, Marketing, Network, and Revenue teams with consistent KPIs.
• Established data quality controls, monitoring, and documentation via dbt docs, fostering a self-service data discovery culture across teams.

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

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

• Embedded in cross-functional squads with Data Science, Marketing (Acquisition & Retention), and Executive teams—collaborating on exploratory analyses, translating insights into operational improvements, and building Tableau dashboards to track business performance.
• Built decision-support layers and single-source-of-truth datasets for spend, traffic, conversion, and revenue.
• Partnered with Data Science on forecasting models (demand/spend time series, retention/repurchase propensity) and statistical analyses that informed inventory planning and media investment.
• Supported media investment optimization with weekly performance reviews and scenario analyses.
• Implemented ELT/ETL pipelines with QA and documentation; standardized A/B test analysis with KPI frameworks.

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.

• 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.