Brainforge Knowledge

uttam-kumaran-resume

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Uttam Kumaran - Resume

Last Updated: 2026-04-16

Focus: Snowflake-first data platforms—architecture, governance, and analytics delivery across growth-stage and enterprise accounts.

Profile

  • Certified Snowflake partner; hands-on with warehouse design, RBAC, performance, and cross-domain modeling, alongside a senior delivery team for execution at scale.
  • As founder of Brainforge, accountable end-to-end on Snowflake-centered programs—from discovery and ingestion (often Fivetran or equivalent) through dbt modeling, KPIs, and BI—not only sales-led or purely advisory roles.
  • Background spans IC data engineering, tech lead and product management, and P&L ownership; the escalation path for complex warehouse, metric-definition, and time-to-insight tradeoffs.

Experience - Independent Contractor (Brainforge)

BetterPT Remote

  • Led Snowflake-centered architecture and a reporting suite for marketing and growth leadership, including ingestion and modeled layers for dependable KPIs.
  • Implemented Snowflake, Fivetran, and Looker as the core stack for marketing and growth analytics.

SPARC Group (Eddie Bauer, Reebok, Lucky Brand) Remote

  • Spearheaded DBT and Snowflake for an apparel portfolio, consolidating multiple brands into a single Snowflake data mart and governed semantic layer.
  • Designed and implemented data models and automated data testing for quality, accuracy, and timeliness, enforcing governance policies in Snowflake.
  • Collaborated with stakeholders to map data assets and define an accessible mart strategy on Snowflake.

Athletic Greens Remote

  • Led Snowflake, DBT, and Fivetran implementation for a high-growth nutritional supplement brand.
  • Developed models and KPI definitions across marketing, growth, transactions, and customer domains—reporting for significant annual ad spend across digital, podcast, and OOH—with Snowflake as the system of record.
  • Designed and implemented a Snowflake RBAC and governance model aligned to internal policy and audit expectations.
  • Ran broad data quality testing in Snowflake to protect accuracy and completeness of executive and growth reporting.

Pool Parts To Go Remote

  • Implemented Snowflake, Fivetran, DBT, and Lightdash for inventory, supply chain, and customer analytics.
  • Developed a cohesive data strategy across customers, inventory, supply chain, and operations with Snowflake at the center.

DFD Partners Remote

  • Developed an affinity model connecting asset managers and wealth managers; outputs integrated into the product and downstream analytics.
  • Partnered on how modeled outputs would surface in governed reporting and product experiences alongside the client’s data stack.

Fair Harbor Remote

  • First data engineering hire; led procurement and implementation of Snowflake-based warehousing and e-commerce data modeling.

Experience - Full Time

Owner BrainForgeAI LLC, Austin, TX (Remote) | Apr 2023 to Present

  • Founder and managing lead of Brainforge, a firm where Snowflake is the default analytical backbone for marketing, finance, operations, and customer 360 use cases.
  • Owns delivery quality across a portfolio of Snowflake-centered engagements—warehouse design, dbt (or equivalent) modeling, ingestion, KPI and semantic layers, and BI—working directly with client executives and Brainforge engineers.
  • Certified Snowflake and Fivetran partner; accountable for scoping, delivery risk, and cutover from kickoff through production.
  • Scales through a senior team while staying directly involved in architecture reviews, governance, and the highest-stakes modeling where accuracy and speed to insight matter most.

Product Lead / Founding Team Member Preql, New York, NY (Remote) | Apr 2022 to Apr 2023

  • Successfully launching multiple data products including semantic layers, metric definition, report generation, scheduling, and more in less than a year
  • Conducting market research and analysis to identify opportunities and gaps in the market, resulting in the development of successful products
  • Using agile product development methodologies, including sprint planning, backlog management, and sprint reviews to prioritize and manage multiple projects simultaneously
  • Developing and managing product roadmaps, ensuring alignment with company goals and vision
  • Leveraging background in engineering to garner trust with technical teams and improve throughput and quality of development

Technical Product Manager Flowcode, New York, NY | Jul 2021 to Mar 2022

  • Led Flowcodes’ customer facing data products team of 8 that contributed $XM to ARR as company grew from 30 to 100+ employees
  • Developed SMB, Mid-Market, and Enterprise analytics products for customers, built on top of Flowcode data
  • Worked closely with customers, product design, engineers, sales, customer success, and product managers to deliver new and innovative products to the QR analytics market including dashboards and customer facing APIs
  • Utilized exceptional communication skills to deliver product vision, strategy, and updates to both internal and external stakeholders

Tech Lead Flowcode, New York, NY | Oct 2020 to Jul 2021

  • Led the resource organization on the data team, managed the interview process, and hired 10+ team members across data engineering, machine learning, and business intelligence, in addition to development roles
  • Led weekly meetings with team members, agile sprint ceremonies, quarterly goal setting, and OKR creation

Data Engineer / Founding Team Member Flowcode, New York, NY | Feb 2020 to Oct 2020

  • First data engineering hire at QR startup tasked with owning and developing internal data infrastructure and strategy across ETL, Data Warehousing, and Business Intelligence Tooling
  • Created foundational data models in Snowflake to power internal reporting across core business lines
  • Negotiated $100k+ in software vendor contracts to secure favorable pricing and establish key partnerships

Data Engineer WeWork, New York, NY | Jul 2018 to Feb 2020

  • Defined and tracked KPIs to measure financial and operational performance
  • Partnered with stakeholders and data users within the FP&A, Investor Relations, Sales, Accounting, Account Management, Growth, Operations, Community, and Business Systems team
  • Built finance data model and data pipelines to enable the first source of truth for GAAP and Non-GAAP reporting including actuals, budget, and forecasts outside of Workday/Essbase source systems drastically increasing the flexibility and availability of financial reporting in preparation of IPO
  • Created optimized data models with automated testing/validation, QA process, production deployment, version control, dependency graphs, column and table level documentation using Python, SQL, and DBT

Education

Bucknell University | Lewisburg, PA Bachelor of Science in Computer Engineering | May 2018

Coursework: Data Structures and Algorithms, Computer Organization, Operating Systems, Fundamentals of Computer Engineering, Human Computer Interaction, Accounting, Corporate Finance, Investments

Skills & Abilities

Technologies: Snowflake, DBT, Fivetran, Databricks, Apache Spark, Looker, Tableau, Amazon Redshift/S3, Apache Airflow, Azure Blob, Jira, Heap, Git, Figma

Programming Languages: SQL, Python, JavaScript, HTML, CSS

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