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10 dbt experts
These ten analytics and data engineering professionals have built, run or rolled out dbt transformation projects inside operating companies. A reader can learn from them how teams structure dbt models, tests and documentation, how dbt fits with warehouses and orchestrators, and what it takes to move existing transformations into dbt.
Professionals to explore
01—10Adrian Brown
LinkedInExperience: Head of Data Engineering · Farmer's Business Network, Inc.
Former Head of Data Engineering at Farmer's Business Network, Inc. (2024–2025), where the profile says he launched dbt data infrastructure with 2000+ models that became the company's data source of truth and developed the data template for measuring customer acquisition, engagement, retention and churn. Since December 2025 he has been Director Data Engineering at Taskrabbit.
Daria Kempa
LinkedInExperience: Analytics Engineer · Suitsupply
Analytics Engineer at Suitsupply since April 2024, following Junior Data Engineer and Junior Analytics Engineer roles at Egnyte (2021–2023). The profile says the work includes designing and developing data models in dbt (Core and Cloud) to defined standards and defining and maintaining modeling conventions, naming standards and documentation.
Dimas Hadiyan Adiluhung
LinkedInExperience: Data Engineering Manager - Data Warehouse · Traveloka
Data Engineering Manager - Data Warehouse at Traveloka since April 2020, after Data Engineer - Data Warehouse (2017–2019) and Senior Data Engineer - Data Warehouse (2019–2020) roles there. The profile says he leads large-scale Google BigQuery and dbt initiatives supporting over 100 data analysts and data scientists on a data warehouse exceeding 16 petabytes.
Evan Degler
LinkedInExperience: Senior Analytics Engineer · PURE Insurance
Senior Analytics Engineer at PURE Insurance since June 2025, where the profile says he coached junior analytics engineers working in dbt toward high-quality data models, optimal SQL, thorough documentation and robust data tests. Earlier roles were Data Analytics Engineer (L2) (2023–2024) and Senior Data Analytics Engineer (2024–2025) at Mercury Insurance and Analytics Engineer at Palmetto (2022).
Fabio Oliveira
LinkedInExperience: Analytics Engineer Sênior · Loft
Analytics Engineer Sênior at Loft since June 2025, after holding the same title at Vivo (Telefônica Brasil) (2023–2025) and Zenklub (2022). The profile, written in Portuguese, describes him as a specialist in designing and implementing scalable, governed, high-performance ETL/ELT data pipelines using dbt, advanced SQL, Python, Apache Airflow and Spark.
Jeff Dickson
LinkedInExperience: Senior Manager, Data Engineering and Integration · Oxford Industries
Senior Manager, Data Engineering and Integration at Oxford Industries since June 2024. The profile describes 15+ years building scalable data platforms, dbt/Snowflake transformation layers, semantic models and the teams behind them. Earlier roles include Manager, Data Engineering at Instructure (2019–2021) and Director, Data and Integration at Talkdesk (2022–2023).
Lloyd Prock
LinkedInExperience: Data Analyst Team Lead (Data Engineering focus) · Scheels
Data Analyst Team Lead (Data Engineering focus) at Scheels since March 2024, after serving there as Software Developer (2022–2024). The profile says he has been building out the Scheels corporate data warehouse from the ground up using dbt and Dagster, connecting legacy systems such as AS400 to modern tools such as BigQuery and AlloyDB.
Maria Pradeep Irudayaraj
LinkedInExperience: Lead Analytics Engineer · Public
Former Lead Analytics Engineer at Public (2022–2025) and Senior Analytics Engineer at ClickUp since September 2025. The profile describes developing and maintaining analytics frameworks with a stack that includes dbt, Fivetran, Airflow, Snowflake, Looker, GitHub and Hightouch, with expertise spanning scalable data modeling and workflow implementation.
Massimo Frangiamore
LinkedInExperience: Lead Analytics Engineer · Monzo
Lead Analytics Engineer at Monzo since May 2026; the profile also lists Analytics Engineer (2022–2023) and Senior Analytics Engineer (2023–2026) roles at Monzo. The profile says he specialises in building and optimising scalable data platforms, primarily using GCP, BigQuery, dbt, Airflow and Python. Before Monzo he was Product Analyst and then Data Engineer at Just Eat Takeaway.com (2021–2022).
Pinku Raj Barman
LinkedInExperience: Engineering Lead (Vice President) · Deutsche Bank
Engineering Lead (Vice President) at Deutsche Bank since July 2026; the profile also lists AVP, Data Warehouse & Business Intelligence (from 2019) and Associate, Data Warehouse & Business Intelligence (2015–2018) there. The profile says he is driving a large-scale data warehouse migration to Google Cloud using BigQuery, dbt, Cloud Composer, GKE and Terraform-managed infrastructure in a highly regulated environment.
Choose the right perspective
For questions about introducing dbt or migrating an existing warehouse, start with the people whose notes describe launching dbt or leading a migration. For day-to-day modeling conventions, testing and review practices, favor the hands-on analytics engineers.
Questions to take into the conversation
- 01How did you organize your dbt project into layers and ownership areas, and what conventions did you enforce from the start?
- 02What testing, documentation and code review practices kept your dbt models trustworthy as the number of contributors grew?
- 03What was hardest about moving existing SQL or warehouse logic into dbt, and how did you sequence the work?
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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