Lead Data Engineer & Founder at JData Consulting.
I parachute into high-growth companies, diagnose their data challenges, and build production-grade infrastructure from the ground up. 10 years in the complete data engineering lifecycle — architecture, pipelines, optimization, team scaling. Trusted by DoorDash, Capgemini, and VC-backed startups across adtech, e-commerce, fintech, IoT, and non-profit.
| Build | Scale | Hand off |
|---|---|---|
| End-to-end data platforms from diagnosis to production. Architecture, ingestion, modelling, orchestration, observability — I own the full lifecycle. | Zero-to-fifteen engineering teams. Hiring, onboarding, mentorship. Delivery velocity without dropping standards. | Documented, tested systems your team owns on day one. No vendor lock-in, no consultant dependency. |
| Daily events processed in production | 500M+ at 99.99% uptime |
| Annual cost savings delivered | $140k+ (30% compute bill cut) |
| End-to-end platforms built | 5 across adtech, fintech, e-commerce, IoT, non-profit |
| Engineering team scaled from scratch | 2 → 15 in 12 months |
| User engagement lift via funnel analytics | +18% |
| Data lost across 3 platform migrations | 0 rows |
VC-Backed CTV Advertising Platform · United States · Under NDA · 2025 Built the real-time analytics platform from scratch. It became the company's single source of truth for executive decision-making. 500M+ daily events. 99.99% uptime. Sub-second latency. Elasticsearch indices for near real-time search with fuzzy matching, relevance tuning, and aggregation pipelines. Automated KPI monitoring catching revenue anomalies before metrics degraded.
Top-5 UK Non-Profit Organization · United Kingdom · Under NDA · 2025 Managed end-to-end AWS data platform on medallion architecture across a 6-person team. First- and third-party sources streamed through Kinesis Firehose into a unified donor-intelligence layer. Semarchy MDM for golden donor records. Zero-loss legacy CRM → Salesforce migration. Reverse-ETL pipelines pushing enriched data back to CRM, Adobe, and marketing platforms.
AI-Powered IoT Operations Platform · United States · Under NDA · 2024 Led the full data migration and analytics modernization from legacy systems to AWS (Glue, S3, Lambda) and Airflow. Grew the data function from 2 to 15 engineers in 12 months while shipping production systems on schedule. 150+ enterprise clients served. Interactive dashboards (T-SQL, Sisense, React) gave clients operational visibility that directly improved retention and upsell.
DoorDash · via Capgemini Engineering · 2023–2026 $140k annual savings by migrating Campaigns Analyzer from Snowflake to Data Lake (PySpark) — cutting a $460k compute bill by 30%. Kafka-based event-driven pipelines at scale with reliable offset management, dead-letter queues, schema-evolution handling. Zero data loss. 18% user engagement lift through consumer funnel tracking and journey mapping. Enhanced the Customer Data Platform on Databricks integrating hundreds of attributes; executed Liveramp, Acxiom, and ActionIQ integrations.
Languages
Orchestration & Transformation
Warehouse & Lake
Streaming & Search
Cloud & IaC
Visualization & BI
- DoorDash (via Capgemini Engineering) — hundreds of millions of daily events, CDP enhancement on Databricks, Liveramp / Acxiom / ActionIQ integrations
- Capgemini Engineering — long-term delivery partner
- VC-backed CTV adtech startup (under NDA) — real-time analytics platform from scratch
- Top-5 UK non-profit organization (under NDA) — AWS medallion platform, MDM, Salesforce migration
- AI-powered IoT operations platform (under NDA) — full AWS modernization, team 2 → 15
- BEC Poland — fintech EDW modernization on Oracle
- Published paper · Epidemiology-constrained Seating Plan Problem — doi: 10.2478/fcds-2022-0013 · Dabkowski J., Kacperski P., Kaleta M.
- M.Eng. thesis · A comparative study of tools for building ETL processes — Warsaw University of Technology, Faculty of Electronics and Information Technology
- M.Eng. Computer Science, Intelligent Systems · Warsaw University of Technology, 2023
- B.Eng. Electronics & Computer Engineering · Warsaw University of Technology, 2020
A significant share of my work happens in private client repositories under NDA. What is public here is a fraction of what I build in production.
- Website · jdataconsulting.com
- LinkedIn · linkedin.com/in/jakub-dabkowski
- Email · jakub.dataconsulting@gmail.com
- Based in Warsaw, Poland · Fully remote for US & UK clients
Currently taking on 1–2 new engagements per quarter. If you are building a data platform, scaling a team, or migrating off legacy infrastructure — let's talk.