Jimmy Pang, Developer in Berlin, Germany
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Jimmy Pang

Bio

Jimmy is a Berlin-based data leader with 8+ years in analytics engineering, BI, and modern data stack leadership across Vestiaire Collective, HelloFresh, Delivery Hero, and Foodpanda. He has built teams from scratch, partnered with C-level stakeholders, and delivered measurable impact. His experience spans 80% fraud reduction, a major redesign of payment data infrastructure, and scalable self-service analytics foundations.

Portfolio

Vestiaire Collective
Python, SQL, Data Build Tool (dbt), Tableau, Snowflake, Leadership...
HelloFresh USA
Product Analytics, Dashboards, SQL, Python, Tableau, Apache Airflow, Statistics...
Delivery Hero
SQL, Data, Data Warehousing, Google BigQuery, Google Cloud Platform (GCP)...

Experience

  • PostgreSQL - 10 years
  • Data - 10 years
  • Google Cloud Platform (GCP) - 7 years
  • Tableau - 7 years
  • Google BigQuery - 6 years
  • Data Build Tool (dbt) - 4 years
  • Snowflake - 4 years
  • Leadership - 4 years

Preferred Environment

MacOS, Google Cloud Platform (GCP), PostgreSQL, DuckDB, SQL, Python, Snowflake, Google BigQuery

The most amazing...

...achievement has been leading Vestiaire's fraud and payments data rebuild, combining hands-on engineering with real business impact.

Work Experience

BI Lead and Analytics Engineering Manager

2021 - 2026
Vestiaire Collective
  • Built BI squad from scratch: hired three analytics engineers, two of whom were direct hires, onboarded and mentored the team, and embedded Snowflake and database analysts with four years of expertise.
  • Owned analytical roadmap across operations, sustainability, consignment, and resale-as-a-service (RaaS), ensuring synergy between business, product, tech, and data teams.
  • Forged partnerships with senior executives, including the COO, CFO, and CTO, and delivered transparent stakeholder management and quarterly roadmaps using MoSCoW and NOW-NEXT-LATER frameworks.
  • Accelerated data product delivery, including marts and dashboards via tailored Agile Scrum 2-week sprints, reducing backlog turnaround by 84%, from eight to four weeks.
  • Drove key business impacts, including 80% fraud incident reduction, 50% CS response time improvement, $24 million payments infrastructure redesign, and 20% authentication speed-up.
  • Elevated data visualization and governance, and provided hands-on mentorship, SOPs, elementary DQ checks, alerts, and dbt Exposures for P0 asset automation.
  • Directed a data mesh pilot (Amazon 6-pager pitch): partnered to establish SSoT and KPI certification across CRM, Ops, and marketing, enabling Airflow autonomy.
Technologies: Python, SQL, Data Build Tool (dbt), Tableau, Snowflake, Leadership, Apache Airflow, Data, Big Data, Analytics, Analysis, PostgreSQL, Business Intelligence (BI)

Product Analytics

2021 - 2021
HelloFresh USA
  • Owned analytics for global logistics products across 18 countries. Built source-of-truth dashboards for on-time/late delivery (OTLD) and Metapack latency tracking.
  • Explored ad-hoc topics and documented reproducible insights via Tableau and BigQuery dashboards.
  • Collaborated with product and tech leads, including the product lead, owner, and tech lead. Guided development direction, empowering local logistics managers for ad-hoc analysis.
  • Gatekept data quality for downstream decisions and shared best practices in the analytics chapter, including reporting standards and data literacy.
  • Enabled demand shaping, fulfillment optimization, and last-mile delivery via cross-functional analytics with SCM executives.
Technologies: Product Analytics, Dashboards, SQL, Python, Tableau, Apache Airflow, Statistics, Data Visualization, Data Analytics, Data Analysis

Business Intelligence

2018 - 2021
Delivery Hero
  • Drove data for global vendor logistics and partnered with product owners, tech leads, and executives on KPIs, dashboards across Tableau, Looker, and Metabase, and A/B tests via GA, Firebase, and GTM.
  • Built a data warehouse from scratch, covering ETL/ELT pipelines with BigQuery, Python, and Airflow. Migrated to Git, CI/CD, Sanity, and a data catalog via Gitbook, laying the foundation for the data mesh blueprint.
  • Democratized self-service analytics across Looker and Tableau. Trained users and reduced central team dependency for 200+ stakeholders spanning product, Ops, and engineering.
  • Pioneered Agile project management via Kanban-to-Scrum transition and Confluence documentation, streamlining data delivery.
  • Co-founded a data guild, a 200-member global community spanning 50 countries. Hosted ML and data engineering meetups, with CTO-endorsed knowledge sharing.
Technologies: SQL, Data, Data Warehousing, Google BigQuery, Google Cloud Platform (GCP), PostgreSQL, Redshift, Google Data Studio, Metabase

Business Intelligence

2017 - 2018
Foodpanda
  • Owned end-to-end analytics for the Hong Kong market, delivering BI insights across Ops, marketing, finance, and business development.
  • Drove 22% order growth and 10% GMV uplift through campaign analysis; optimized courier recruitment across CR, cohort, and fill-rate metrics despite weather and festival disruptions.
  • Facilitated executive decisions via hotspot reports for marketing zones and delivery sizing.
  • Boosted data literacy by creating KPIs and 10 – 15 Tableau dashboards, and trained the team on alignment and usage.
  • Automated reporting via PostgreSQL, VBA, and PostGIS; collaborated with HQ on ML algorithms and staffing—specifically Rider CRs—flagged dashboard issues, leading to a DH referral.
Technologies: SQL, Excel VBA, PostgreSQL, Data Visualization, Business Intelligence (BI), Data Analytics

Experience

Ravioli Vibe Analytics

https://github.com/Data-Biz-AI-Consultancy/ravioli
Ravioli is a modern, open-source data warehouse built for SMEs with limited analytics resources and small, agile data teams. It is the ideal solution for those managing sensitive PII who require a secure, local environment without exposure to big tech. By blending professional data engineering with a casual, notebook-style interface, Ravioli makes Vibe Analytics accessible to everyone. The solution is part of the AI Passione ecosystem.

Famiglia Core Multi-agent Framework

https://github.com/Data-Biz-AI-Consultancy/famiglia-core
Famiglia Core is the foundational multi-agent framework that powers the entire La Passione ecosystem. The solution provides the shared intelligence, tooling, and memory management required to build and scale autonomous agents.

Skills

Tools

Slack, Tableau, Apache Airflow, Notion, Notion API, GitHub

Languages

SQL, Snowflake, Python, Excel VBA

Paradigms

Business Intelligence (BI)

Platforms

Google Cloud Platform (GCP), Ollama, MacOS

Storage

PostgreSQL, Redshift

Other

Google BigQuery, Data Build Tool (dbt), Data, Big Data, Analytics, Dashboards, Data Visualization, Data Analytics, Data Warehousing, Google Data Studio, Leadership, Analysis, Statistics, Data Analysis, Metabase, MotherDuck, DuckDB, Product Analytics

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