Lead Data Engineer & Consultant
22+ Projects
5 Industries
Available for Hire

JData Consulting — From Data Complexity to Business Clarity

FROM DATACOMPLEXITY
TO
BUSINESS
CLARITY

End-to-end data platform builds for high-growth companies.
From architecture to real-time pipelines — and the team to run them.

Strategic Growth

$140k+ in documented annual savings across client engagements

Real-Time at Scale

500M+ daily events processed with sub-second latency

Team & Platform

Scaled data teams from 2 to 15 engineers in 12 months

Future-Proof

Production systems across adtech, e-commerce, fintech, IoT, non-profit

Limited slots available this month — book now

Trusted by DoorDash, Capgemini Engineering, and VC-backed startups across 5 industries

Serving US & UK clients remotely · Based in Warsaw, Poland

About

Transforming Complex Data
Into Strategic Advantages

I architect high-performance data ecosystems that turn raw information into your most valuable asset. My mission is to empower your business with speed, clarity, and scalability.

From chaos to clarity: I build the data engines that power industry leaders. Whether processing millions of daily events or optimizing cloud infrastructure, I ensure your data isn't just stored—it's working for you.

With proven success across adtech, e-commerce, fintech, IoT, and non-profit sectors, I bridge the gap between complex engineering and strategic growth, delivering solutions that scale with your ambition.

Learn More About Me
Jakub Dabkowski — Lead Data Engineer & Consultant
Technical Expertise

Modern Tools & Technologies

Data Engineering

SnowflakeApache AirflowDagsterDatabricksApache Sparkdbt

Data Visualization

TableauLookerSigmaPower BIMetabase

Cloud & Infrastructure

AWSTerraformDockerGitHub ActionsGit

Databases

PostgreSQLSQL ServerOracleMongoDBCassandra

Development & Monitoring

PythonSQLShellGrafana

AI & Automation

JenkinsGitHub ActionsMakeZapierGPTClaude
Services

Comprehensive Data Engineering
Solutions

Data Pipeline Development

End-to-end data platform builds: architecture, real-time pipelines, and team scaling for high-growth companies

Cloud Data Architecture

Build scalable cloud-native data solutions on AWS — S3, Redshift, Glue, Lambda, Kinesis, and EMR

Data Warehouse Design

Create optimized data warehouse architectures for enhanced performance

Data Migration

Implement reliable data migration strategies ensuring seamless transitions and integrity

Analytics Infrastructure

Set up end-to-end analytics platforms for real-time business intelligence

Data Version Control

Implement version control systems for data and model management

Case Studies

Projects That Delivered Results

Real transformations with measurable business impact

IoT

AI-Powered IoT Operations Platform

Built the data function from scratch for a 150+ client IoT platform — from legacy migration to unified analytics on AWS

PythonApache AirflowAWS GlueAWS S3+3

Impact Metrics

Clients Served

150+

Data Platform

Unified

Faster Time-to-Market

40%

BEFORE

Legacy systems with no unified analytics — clients flying blind on operations

AFTER

Unified AWS platform serving 150+ clients with real-time dashboards and predictive analytics

Analytics

Executive Revenue Real-time Analytics Platform

Built comprehensive dashboard suite for tracking operations, customer behavior and financial metrics

PythonSQL ServerLookerAWS

Impact Metrics

KPI Monitoring

Real-time

Business View

360°

Data Latency

<5 min

BEFORE

Week-old reports making it impossible to react to market changes quickly

AFTER

Real-time dashboards with live KPIs enabling instant strategic decisions

E-commerce

Food Delivery Analytics Platform Optimizations

Batch processing system handling millions of daily events for premier food delivery service

PythonAirflowSnowflakeDocker+1

Impact Metrics

Events/Day

100M+

Annual Savings

$140K

Uptime

99.99%

BEFORE

High Snowflake compute costs and delayed campaign insights

AFTER

Migrated to Data Lake with $140K annual savings and zero data loss

Fintech

Growth Accounting Optimization Pipeline

Comprehensive Engineering Initiative to Enhance User Acquisition and Retention Strategies

PythonSnowflakeSQLAWS+1

Impact Metrics

Engagement Lift

18%

Attribution

Multi-touch

Data Loss

Zero

BEFORE

Unable to track user journeys across multiple touchpoints effectively

AFTER

Full-funnel attribution providing clear ROI on every marketing channel

Analytics

Consumer Behavior Analytics

Analytics-driven system for tracking and optimizing user journey

PythonSQLSnowflakeAirflow+1

Impact Metrics

User Engagement

+18%

Funnel Tracking

Real-time

Journey Mapping

Full-funnel

BEFORE

Product teams missing critical drop-off points in user journeys

AFTER

18% engagement lift through consumer funnel tracking and journey mapping

AI/ML

AI-Driven Development Process Optimization

Leveraging AI technologies to enhance software development processes

PythonOpenAIGitHubAWS+1

Impact Metrics

Code Reviews

Automated

Review Cycle

Days→Hours

AI Workflows

Integrated

BEFORE

Manual code reviews and testing taking days to complete

AFTER

AI-assisted automation reducing review and development cycles

Analytics

Marketing Campaign Analytics

Optimizing ETL processes for marketing campaign analysis

PythonDatabricksSQLApache Spark

Impact Metrics

Annual Savings

$140K

Compute Costs

-30%

Insights

12h earlier

BEFORE

Delayed insights and high infrastructure costs limiting campaign effectiveness

AFTER

$140K saved annually with 12-hour faster insights for agile marketing

Fintech

Fintech Data Migration

Mortgage data system modernization for financial services

SQLOracleInformaticaPython+1

Impact Metrics

Data Accuracy

100%

Reporting Reliability

99.99%

Data Loss

Zero

BEFORE

Legacy systems with manual processes risking data integrity and compliance

AFTER

Modern platform with 100% accuracy and zero data loss during migration

Fintech

Investment Portfolio Analytics System

Statistical analysis system for investment portfolio monitoring

PythonPySparkRGit

Impact Metrics

Analysis Window

30min

Detection Threshold

1%

Accuracy

99%

BEFORE

Manual portfolio monitoring with delayed risk detection and reporting

AFTER

Automated 30-minute window analysis with 99% accuracy and instant alerts

Non-Profit

Donor Intelligence & CRM Migration Platform

End-to-end AWS data platform with medallion architecture for a top-5 UK non-profit — Salesforce migration, MDM, and reverse ETL

AWSKinesis FirehoseSemarchySalesforce+2

Impact Metrics

Data Loss

Zero

Team Managed

6-person

Donor Streaming

Real-time

BEFORE

Fragmented donor data across legacy CRM with no unified view or personalization capability

AFTER

Golden records via MDM, real-time donor intelligence, and personalized outreach across all channels

Impact

Key Achievements

0+

Projects Completed

Successfully delivered with highest satisfaction

0+

Companies Served

Industry leaders across sectors

$0k+

Annual Cost Savings

Infrastructure optimization across engagements

0.00%

System Reliability

Uptime achieved across projects

0M+

Daily Events Processed

Peak throughput across production pipelines

Testimonials

What Clients Say About Me

Trusted by industry leaders across fintech, e-commerce, and data-driven sectors

"Jakub is a rare example of a person with immense passion for technology, coding, and growth. Working with Jakub is a pleasure; the best challenge is finding opportunities to satiate his hunger for greater responsibilities so he can deliver continuous excellence. Once he gets a task matching his abilities, not only does his competence in individual work shine, he also mentors and leads others. He is a good planner, communicates proactively and in a friendly manner, and keeps a level head when facing difficulties. It was an honor to lead Jakub as a Senior Data Engineer and witness the achievements possible when such a dedicated, high‑performing individual meets a challenge worthy of his skills."
Leadership & mentorship
Peter

Peter

Lead Data Engineer, Capgemini Engineering

"He's an exceptional data engineer who consistently found elegant solutions to complex problems. For example, he built custom analytics tools in Google Sheets that enabled our team to efficiently analyze large‑scale datasets from our data warehouse—turning what could have been a heavy lift into something accessible and actionable. Jakub combines strong technical skills with a pragmatic, team‑first approach."
Actionable analytics at scale
Brent

Brent

System & Tools Manager, CTV/OTT-focused Ad-buying Platform

"Jakub is a highly talented Data Engineer who delivers high‑quality, sustainable data solutions with tangible impact. He is passionate about technology, grows quickly, and shares knowledge across teams and the wider community. He consistently earns strong feedback from peers and managers. In the Property Finance domain, his contributions brought durable improvements to our data solutions."
Sustainable data solutions
Jacek

Jacek

Engineering Manager of Data Solutions, Nykredit Bank

"Jakub has been outstanding to work with. He consistently delivers reliable, high‑quality data engineering solutions, communicates clearly, and anticipates risks before they become issues. His contributions accelerated our AI initiatives in the automotive space and were delivered on time with exceptional attention to detail. I gladly give him my highest recommendation."
Highest recommendation
Justin

Justin

CEO, Automotive company providing AI Solutions

"Cut our compute bill by 30% and saved $140K annually while improving performance. Best investment we've made in our data infrastructure."
$140K annual savings
Lisa

Lisa

Head of Analytics, Online Food Delivery Platform leading in US

"I had the pleasure of managing Jakub during his time on the DD Data Engineering team, and he consistently impressed me with his technical rigor. Jakub was instrumental in delivering several high‑stakes data projects, ensuring that our pipelines were not only scalable but very resilient with good documentation skills. Any team would be lucky to have Jakub's expertise in their data stack."
Scalable & resilient pipelines
Gowri

Gowri

Engineering Manager (Data), DoorDash

"I had the pleasure of working closely with Jakub on a highly challenging and fast‑paced data engineering project. He quickly ramped up, collaborated effectively, and began contributing meaningful solutions early on. He brings a clear perspective to problems and consistently proposes innovative, practical approaches. His meticulous approach to documentation and disciplined tracking of work and timelines truly stood out. A proactive and dependable collaborator, he elevated the entire team's performance."
Elevated team performance
Madhura

Madhura

Software Engineer (Data), VC-backed CTV Advertising Platform

READY TO TRANSFORM
YOUR DATA?

Let's discuss how we can turn your data challenges into competitive advantages