Architecture Clarity
Define data flows, ownership, and model boundaries so teams can move faster with confidence.
Data Architecture Advisory
Stop Burning Margin on Data Chaos. Build a Profit Machine.
We engineer enterprise-grade data architecture and automated pipelines for scale-ups. No spreadsheet firefighting. Just resilient infrastructure designed to optimize EBITDA and protect net profit.
TRUSTED BY
HOW WE HELP
Measurable Outcomes
Tie analytics initiatives to KPI improvements and executive-level reporting from day one.
Automation at Scale
Reduce manual operations with robust pipelines and AI-enabled operational workflows.
SELECTED RESULTS
Case Studies Showcase
Proof over promises: compact case snapshots built around business context, technical intervention, and measurable financial impact.
Marketing
How We Restored Trust in Customer Sentiment Analysis and Added New Reporting in 2 Weeks
TheGig.Agency
The agency regained confidence that the numbers it shows clients are accurate. Analysts stopped losing time to manual checks and crashing files, and now focus on drawing insight from ready-made reports of the most common customer terms. The whole project — from bug fixes to new features — was completed in two weeks, and the agency walked away with a tool it can trust for every future client campaign.
Marketing
How an Agency Stopped Stitching Data Together as a Full-Time Job
TheGig.Agency
The team took back control of its data instead of losing days piecing it together. Daily, weekly, and monthly reports now build themselves, and every client meeting starts with facts, not guesswork. Managers now compare sales and traffic trends across any time period in seconds, instead of days of manual work. The data simply works — and the team can finally focus on strategy.
Services
Centralizing CSR Platform Operational Data
The Purpose Platform
The deployment of the new data architecture permanently unlocked the platform's operational and financial potential. The board has regained full control over performance metrics, and the system seamlessly handles peak loads during rapid scaling. Financial results and engagement statistics are now fully transparent and updated in real time.
Social Proof
Client Testimonials
Feedback from teams that implemented data architecture and automation with us.
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Having worked with Grzegorz for a couple of years, I have to say he is an excellent professional. He helped me understand the company's project management process and introduced me to useful tools. I am impressed with his work ethic and communication skills. His skills in programming languages are very developed. I would recommend him to everyone who wants to receive a clear code in a short time!
Krystian Rosłon
Project Associate • CERN
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I highly recommend Greg as a software engineer whose technical expertise and attention to detail consistently exceed expectations.
His ability to develop efficient backend solutions and seamlessly collaborate with cross-functional teams has been crucial to the success of our projects.
Grzegorz approaches challenges creatively and precisely, quickly identifying solutions and implementing them effectively. He remains calm under pressure and consistently meets deadlines without compromising quality.
His dedication, problem-solving skills, and collaborative spirit make him an invaluable asset to any project or team.
Taylor Hart
Data Engineer • Ads.com
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I recommend Grzegorz as an expert in the field of Business Intelligence and Artificial Intelligence, based on my knowledge of his competencies and skills. Grzegorz demonstrates not only excellent technical abilities but also innovation and a passion for continuously expanding his knowledge. His commitment and expertise make him a valuable asset to any organization in the fields of BI and AI. How he can help?:
Data Collection and Aggregation: · Designing tools for collecting data from various sources. · Creating APIs and bots for automating data collection processes.
Data Science and Machine Learning: · Data analysis, predicting trends, and recognizing patterns. · Creativity in the field of "artificial creativity" and object recognition.
Data Delivery and Automation: · Create efficient systems for data distribution. · Automating processes, enhancing efficiency and productivity.
Renata Kamińska
Founder • Kamreno Ltd
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I wholeheartedly endorse Grzegorz as an outstanding software engineer, whose remarkable ability to swiftly adapt to emerging technologies and innovate in problem-solving has profoundly benefited our projects. Grzegorz not only brings a wealth of technical proficiency to the table but also excels in teamwork and communication, proving himself to be an indispensable member of any team. Additionally, his consistently positive attitude and exceptional work ethic have left a lasting impression.
Sebastian Paszek
Co-founder • The Soundproof Ltd
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Throughout his tenure, Grzegorz made significant contributions to numerous projects for our clients. His profound expertise and understanding of backend technologies greatly benefited our team.
Grzegorz consistently demonstrated readiness to address clients' questions and concerns, alongside his remarkable ability to resolve any challenges encountered during the development process, even under pressing deadlines. His commitment to problem-solving not only enhanced our operational efficiency but also fortified trust-based relationships with our clients. These qualities made him a valuable member of the team.
Grzegorz's technical skills, combined with his dedication to client satisfaction, make him a standout professional.
Mateusz Kupczyk
CEO • Brival Sp. z o.o.
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I had the pleasure of working closely with Grzegorz on several backend software solutions for various clients.
Greg’s ability to design, develop, implement, and improve complex software was integral to these projects’ success. I knew that if Greg was tasked with something, it would always be completed properly and on time- regardless of complexity.
He consistently delivered high-quality code, could quickly troubleshoot and resolve issues, and kept teams well-organized and on-track.
In short, Grzegorz is a highly reliable and capable developer, and any team will be better with him on it!
Mathew Arrington
Marketing Operations • The Gig Agency
Data Operations Calculator
Estimate your EBITDA leak from manual data operations
Answer three inputs to estimate how much spreadsheet-heavy reporting and data errors cost you each year.
Estimated annual hidden data debt cost
$1,350,400
This estimate combines manual reporting labor cost and annual reporting error impact. A full technical audit typically reveals additional hidden leak points.
Get a free technical recovery blueprintExecutive FAQ
Answers to high-stakes data architecture questions
What does the cooperation model with DataMinq look like, and what happens after the project is completed?
We focus exclusively on engagement models geared toward high efficiency and generating long-term business value. Our work is divided into two key pillars: - High-Ticket Projects: These are comprehensive, custom-tailored transformation deployments—ranging from initial process audits and designing modern cloud data architectures to complete workflow automation and AI/LLM monetization. We manage the entire process from the level of Chief Architects and Strategists, ensuring strict enterprise-grade standards. - Maintenance (Retainer): Once the main deployment is complete, we do not leave you stranded with the new technology. We provide continuous support, infrastructure monitoring, and ongoing optimization. This guarantees total operational continuity, protects your critical business systems, and secures your long-term return on investment.
We plan to sell our company (Exit / M&A) within the next 12–24 months. Is it worth investing in cleaning up our data now?
Absolutely, because data chaos directly slashes your company's market valuation. During the Due Diligence process, VC/PE funds and strategic investors will audit your reporting systems meticulously. If they discover Data Debt—such as technological debt, inconsistencies, or structural chaos—they will use it as a powerful lever to drive down your transaction price. At DataMinq, we step in as an Auditor & Value Optimizer. Our job is to strategically organize your information assets and turn chaotic data into a trusted, transparent corporate asset (Data-as-an-Asset). This eliminates the fear of due diligence and directly maximizes your company's equity value multiplier.
In our e-commerce/marketing agency, we use Excel and everything "somehow" works. Why do we need a Single Source of Truth?
The phrase "somehow works" is only safe until a reporting error leads to a painful ad budget burn, or until your key analyst—who had the entire data structure trapped in their head—suddenly leaves the company. If your team is wasting two days a week manually stitching sales data from platforms like Shopify or Amazon with marketing costs from Meta or Google Ads, your business is leaking money through hidden operational losses. DataMinq designs and deploys a centralized data hub—a Single Source of Truth—that aggregates information from scattered ecosystems and operates entirely on autopilot. We deliver a zero-touch analytical environment that secures billing accuracy and empowers leadership to precisely optimize multi-million ad spends.
Our company is growing fast, but operational costs are eating into our margins. How can data architecture change this?
This is the classic "glass ceiling" of profitability that fast-scaling enterprises face in sectors like Hospitality, PropTech, or E-commerce agencies. As your business scales, your fixed costs spike drastically due to manual labor and fragmented data handling. We step into your organization as the Architect of the Digital Worker. By automating information flows and implementing DataOps best practices, we completely eliminate manual spreadsheet work, human errors, and reporting bottlenecks. Our philosophy is straightforward: less manual work equals higher margins. We transform data chaos into a hands-off, predictable profit machine, allowing your business to expand without forcing you to scale your headcount proportionally.
How does working with DataMinq differ from hiring a software house or an in-house developer?
The difference lies entirely in the intent. For a traditional developer, the goal is simply writing code. For us, code is a cost, and a solution is an asset. At DataMinq, we do not write code for the sake of writing code—we build systems that generate revenue. We act as a strategic partner and an external Fractional CDO (Chief Data Officer) team. We seamlessly combine rigorous, enterprise-grade engineering standards with a sharp business focus on margins, profitability, and EBITDA metrics for scale-ups and SMEs. Our clients do not pay for hours of coding; they pay for business results and peace of mind—knowing that their data simply works and serves as a secure foundation for making multi-million decisions.
Ready to recover margin hidden in data operations chaos?
After the scan, we map your technical bottlenecks and prepare an implementation blueprint tied to EBITDA outcomes, not generic consulting slides.