Data, cloud and developer platforms

10 Google BigQuery experts

These ten professionals have built on, migrated to or administered Google BigQuery inside operating companies as data engineers, analytics engineers, administrators and data warehouse leads. A reader can learn from them how teams move legacy warehouses such as Teradata onto BigQuery, organize ingestion and modeling with tools like dbt, and keep a shared warehouse usable.

10 professionals9 companiesData retrieved September 28, 2026

Professionals to explore

01—10
  1. Agustin Leon

    LinkedIn

    Experience: Arquitecto de datos · Carrefour Argentina

    Arquitecto de datos at Carrefour Argentina since August 2026, after Data Engineer (2024) and Advanced Data Engineer (2024–2026) roles at Quales. According to the profile, which is written in Spanish, the Carrefour role is responsible for designing and leading the migration of the data architecture from Teradata to Google BigQuery, defining the technical strategy and modeling standards for the new GCP ecosystem.

  2. Benjamin Katz

    LinkedIn

    Experience: Senior Analytics Engineer · Posh

    Senior Analytics Engineer at Posh since March 2026. Earlier roles were at Springboard as Data Analyst (2018–2020), Senior Data Analyst (2020–2022) and Senior Analytics Engineer (2024–2026), and at Attentive as Senior Data Analyst (2022–2023). The profile says he led the design, build and ongoing maintenance of a modern BigQuery and dbt data warehouse and directed a 200+ person organization's migration from Chartio to Looker.

  3. Bharat Jhawar

    LinkedIn

    Experience: Data Engineer · CVS Health

    Data Engineer at CVS Health since June 2023. In that role the profile says he engineered a centralized data ingestion framework that consolidated 20+ TB of data into BigQuery by migrating legacy structured data from MySQL, Oracle and Teradata. Earlier roles were Programming Analyst at University of Illinois Urbana-Champaign (2021–2023) and Data Engineer at Infosys (2017–2021).

  4. Bharath Kumar

    LinkedIn

    Experience: Senior GCP Data Engineer · CVS Health

    Senior GCP Data Engineer at CVS Health since February 2025, after serving as GCP Data Engineer at Molina Healthcare (2022–2025). At CVS Health the profile says he designed and migrated ETL/ELT pipelines from Oracle, SQL Server, Teradata and Mainframe to GCP and orchestrated automated workflows using Cloud Composer, BigQuery, Dataportal and Tidal.

  5. Dimas Hadiyan Adiluhung

    LinkedIn

    Experience: Data Engineering Manager - Data Warehouse · Traveloka

    Data Engineering Manager - Data Warehouse at Traveloka since April 2020, after joining as Data Engineer - Data Warehouse in 2017 and serving as Senior Data Engineer - Data Warehouse (2019–2020). The profile says he leads large-scale Google BigQuery and dbt initiatives supporting over 100 data analysts and data scientists, with a data warehouse exceeding 16 petabytes.

  6. Francisco Javier Plaza Fernández

    LinkedIn

    Experience: Responsable Data Migration and Analytics · Carrefour España

    Responsable Data Migration and Analytics at Carrefour España since February 2025; the profile also lists Responsable Business Intelligence at Carrefour (2020–2025). According to the profile, which is written in Spanish, the current role is responsible for building and ingesting data into the new data platform (Big Query, dbt, Cloud Run, BigLake), along with budget and forecast management and supplier relationships.

  7. Gustavo Pacheco Saboia

    LinkedIn

    Experience: BI & Analytics Lead Farm Rio Global · FARM Rio

    Former BI & Analytics Lead Farm Rio Global at FARM Rio (2025–2026), after rising from Junior BI & Analytics Analyst there in 2021. The profile describes leading BI and analytics initiatives across e-commerce, retail and D2C operations, including dashboard standardization, KPI definition and development of analytical datasets in BigQuery. Since June 2026 he has been Data Quality Lead Consumer Product Division at L'Oréal.

  8. N Sainath

    LinkedIn

    Experience: Senior Data Engineer (GCP Data Platform & Cloud Migration) · UBS

    Former Senior Data Engineer (GCP Data Platform & Cloud Migration) at UBS (2023–2025) and Data Engineer (GCP Data Platform & Streaming) at Centene Corporation (2020–2023); since February 2025 Senior Snowflake Developer at CVS Health. The profile describes owning the governed warehouse and lakehouse design on BigQuery, Cloud Storage landing and staging zones and BigLake tables, and running design reviews with enterprise architecture and security.

  9. Natalia Folino

    LinkedIn

    Experience: Jefe de Data Warehouse · Carrefour

    Jefe de Data Warehouse at Carrefour since November 2021; the profile also lists Analista técnico at Carrefour (2016–2022). According to the profile, which is written in Spanish, the current role coordinates the Data Warehouse team and covers administration of databases (on-premise and GCP), BigQuery and BI applications (MicroStrategy), as well as analysis and resolution of business requirements.

  10. Samir Singh

    LinkedIn

    Experience: Staff data engineer-BigQuery Admin · Walmart

    Staff data engineer-BigQuery Admin at Walmart since February 2021, after serving as Senior Teradata DBA at Walmart (2019–2021). Earlier roles were Lead Consultant - Lead Teradata DBA at Infosys (2014–2019) and Project Lead - Lead Teradata DBA at Wipro (2011–2014), and the profile headline describes him as BigQuery DBA at Walmart.

Choose the right perspective

For a migration decision, start with the people whose notes describe moving an existing warehouse onto BigQuery; for day-to-day administration, cost or access questions, favor the people whose titles name BigQuery administration. For modeling and analyst-facing work, pick the analytics engineers and BI leads who built datasets on BigQuery.

Questions to take into the conversation

  1. 01How did you plan and sequence the move of an existing warehouse onto BigQuery, and what took longer than expected?
  2. 02How do you structure datasets, permissions and modeling layers in BigQuery so analysts can work without breaking shared tables?
  3. 03What practices did you put in place to control BigQuery query costs as more teams started using the warehouse?

About this directory

This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.

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