SageData

I specialized in providing strategic and practical data solutions to a diverse range of clients, including large enterprises. I played a crucial role in bridging the gap between C-Level stakeholders and technical data teams, adeptly translating business objectives into actionable data requirements. My expertise extended to presenting complex data insights and strategic recommendations directly to board members, investors, and other executives, ensuring alignment with their corporate goals.

My core responsibilities involved collaborating closely with clients to understand their data processing needs and crafting tailored strategies that ensure the secure, scalable, and efficient handling of their data. I was instrumental in designing and implementing robust data infrastructure, such as highly available data pipelines and scalable data storage solutions including data warehouses, using advanced agile methodologes like CI/CD, TDD, and XP.

A later part of my role was leading the deployment of AI and Large Language Models (LLMs) in enterprise settings. Utilizing platforms such as LangChain and Python, I developed frameworks that not only met the stringent requirements of data security but also aligned with responsible AI usage practices. This strategic incorporation of AI technologies helped in enhancing the analytical capabilities of data solutions provided to clients.

I championed the automation of data processes and infrastructure, significantly improving the efficiency and reliability of data operations. My leadership in promoting agile practices helped inculcate a culture of innovation and continuous improvement within cliens.

Additionally, I mentored teams and enhanced their technical skills, focusing on advanced data engineering and architecture principles. My extensive experience with major cloud providers, strong programming skills in Python, and in-depth knowledge of SQL and data modeling were pivotal in delivering high-quality, scalable data solutions.

Data Analytics and Business Intelligence Partner 

Key2Market

Deployment of large scale Business Intelligence systems on AWS platform with focus on Redshift, Snowflake, EC2, S3, Airflow, tracking, data modeling. Reporting and Data analysis. Merger and unification of multiple Tableau servers for European reporting (Coca-Cola); development and administration of Redshift AWS data warehouse (Coca-Cola, 7NXT, etc.); creation of Business Intelligence solutions for several top tier companies; integration of Data Governance and Master Data Management principles. BI strategy, Data Warehouse architecture, ETL design and deployment (Finiata, Fnatic)

Business Intelligence and Analytics Consultant

GoEuro

Development of Business Intelligence solution and migration of Data Warehouse technology from in-house to cloud-based infrastructure. Leading the design of Data Architecture, ETL/QA/Data validation procedures, KPI Library, Data Governance framework. Rollout of Tableau across 50+ users. Designing of reports and data presentation guidelines. Working with the technology teams on coordinating the usage and data flow between Hadoop, Data Warehouse and front end reporting (Tableau).

Interim Director of Business Intelligence

Various Companies

Development of Business Intelligence solutions for a number of top tier companies such as 7NXT Health (ProSieben Sat1), NeuroNation, Fnatic Inc. Integration of Data Governance and Master Data Management principles. Business Intelligence technology selection and rollout based on the unique analytical needs of each company. DWH and ETL Design. Reporting and data analysis.

Business Intelligence Specialist

Aeria Games GmbH

Building up the Business Intelligence from scratch by gathering Business Requirements, setting up Technology strategy and deploying Data Visualisation tool (Tableau).
Global recruitment of BI developers, analysts and BI experts. Augmentation of BI capabilities with international outsourcing.
Creating Business Intelligence technological cloud stack in AWS.
Creation and management of Development and Production Data Warehouse environments on Amazon Redshift, designing Data Architecture, creating ETL/ELT data transport mechanisms, establishing QA and data validation procedures.
Introduction of BI Data Governance to address the management of change, configuration and capacity within the Business Intelligence system. Introducing KPI Library as a support tool for Master Data Management.
Extracting and processing of terabytes of game data daily out of various game databases, such as Postgres, MySQL, MSSQL and data transport into Amazon Redshift.
Setting up connections to various APIs for data extraction from services such as Google,
Facebook, iTunes Connect, Hasoffers/MAT, Mixpanel and internal databases.
Leading the introduction of the self service reporting via Tableau by establishing a distributed and scalable data visualisation environment to accommodate (almost) live reporting for a company with 300+ employees.
Apply knowledge of statistical and econometric methods to develop key KPI forecasts.
Develop new methods to measure and track business indicators.

Head of Business Intelligence

Skrill

Responsible for defining the vision and strategy for delivering Business Intelligence (BI) solution across the organization, including Data Warehouse, ETL, BI system etc.
Design, implement and maintain data validation (QA) procedures within the Data Warehouse to ensure data integrity and accurate reporting
Championed the need for the Master Data Management and a Data Governance Program to become a pro-active rather than a re-active organization
Develop KPI and Metrics master library to serve as a central reference point for all metrics used by the business
Work closely with department heads and C-level executives to develop metrics and reports that produce actionable insight. Linking with stakeholders on the reporting requirements, BI software applications and QA methodologies
Liaison across business units to ensure consistent, accurate and efficient information delivery.
Standardize and optimize the reporting and data analysis process to ensure accurate and timely information delivery
Near real-time reporting and data analysis (Tableau). Data cleansing procedures.

Day to day management of the data analysis, reporting, Data Warehouse QA and ETL teams
Aligning the team’s goals and objectives to those of the business.
Delivery of a customized Data Warehouse with direct responsibility for the underlying architecture, ETL and the presentation layer (BI platform, Tableau)
Implementation of company-wide self service BI and data analysis tool that allows 24/7 access cross multiple departments with around-the-clock support from Data Warehouse
Transformation and streamlining of the reporting process, report delivery automation, KPI/report standardization
Support FP&A team with data analysis and insight to facilitate company growth

Senior Manager of Business Intelligence

Streamlining reporting process. Optimization and automation of reports. Organization of KPIs and metrics to ensure improved consistency and data accuracy in reporting. BI strategy formulation. Data Warehouse leadership and architecture design.

Process Improvement Manager

Hewlett-Packard

Data analysis and reporting. SLA, KPI and Metrics monitoring for large clients (Nokia, GE, Vodafone). On-boarding Motorolla into an expanded service offering.

Implementation Manager / Reporting and Data Analysis

Fallsview Casino

Relationship database / data warehouse management, direct marketing support and data mining combined with business and financial analysis. Examined customer trends and behavior patterns to identify segments that would make the best respondents to a vast variety of promotional activities.

Marketing Database Analyst

BEYEN International Market Research

Administered key categories for a major corporate client in the entertainment industry and met weekly deadlines for report submission
Prepared, proofread and corrected weekly reports on 25 categories for Monday delivery to 12 key clients
Executed data entry and data warehouse query, db administration and mass corrections to prevent inconsistencies and errors in bi-weekly reports

Client Services

I simplify complex data challenges for startups, turning insights into actionable strategies. 
Here are the areas I focus on:

Strategic Insight:
Mastering the world of data begins with strategic planning. Harness my extensive expertise from global BI projects, combined with a solid grip on translating business requirements into actionable and long-term BI solutions. What's the secret ingredient to my success? A strategic approach to Data Warehouse Architecture, Master Data Management, Data Governance, and converting raw information into strategic gold.

Technical Mastery:
Let me jazz up your startup's rhythm with cost-efficient Data Pipelines and Data Warehouses running on cloud technologies. I like to dive deeper into performance optimization, precise data modeling, validation, and scaling data infrastructure. Oh, and let's not forget the importance of snazzy self-service analytics for your internal and external stakeholders.

Data Visualization & Reporting:
Unleash the storytelling power of data with top-tier visualization tools like Tableau. From crafting impeccable data management solutions to automating reports, every pixel tells a tale. And with a profound knowledge of financial reporting, KPIs, and predictive analytics, startups, and their investors, can now read the future like tomorrow's newspaper!

Operational Excellence:
Steer the ship with the day-to-day management of strategic projects while ensuring ongoing love and care for existing systems. Throw in some leadership and team dynamo skills, and you've got a crew ready to sail through any data storm!

Toolbox & Methodologies:
Here's a peek into the techie backpack: Airflow, Snowflake, dbt, and a sprinkle of SCRUM/Agile practices fused with Kimball methodologies. As for specialties? Think Redshift, AWS, Oracle, and more. It's like having a Swiss Army knife for data - and yes, it's as cool as it sounds.

Ever dreamt of transforming data from cryptic numbers into compelling narratives? 

Dream no more. 

Whether you're a startup ready to set sail or just curious about the world of data, drop a line or send a signal flare! 
Let's embark on this data odyssey and maybe share a chuckle or two along the way. 
 🌌🌟🚀

Kirill Andriychuk 📊

Neurons Lab

• Demand generation & lead acquisition strategy
• Marketing strategy (ICP, positioning, etc)
• Brand strategy
• Partnership marketing 
• Marketing team management

Markets: US, EMEA, APAC

Head of Marketing

Marketing Team Lead

Harbiz

• Digital marketing and growth strategy
• Demand gen & lead acquisition
• CRM management & optimization
• Workflow creation & management
• Process optimization
• Implementation of new brand (Harbiz) 
• Expansion into international markets (UK & Germany)
• Marketing team management & development 

Markets: Spain, UK, Germany

Growth Marketing Manager

EU-Startups

Contributing Writer

Bridge for Billions

•Content Strategy
•B2B and B2C sales enabelment
•SEO and web optimization
•CRM analysis for funnel optimization
•Social media and community management
•Product marketing
•Email marketing

Markets: USA, Europe, Latam

Digital Marketing Specialist

Wild Stories Distribution

Sales and Marketing Coordinator

Sheffield DocFest

Jury Coordinator

•Social Media and Community Management
•B2B Marketing
•Event Management

Brand Ambassador

SuiteLife Barcelona

•Social Media and Community Management 
•Content generation and analytics
•SEO optimization
•Web and blog management
•Market research

Digital Marketing Intern

Experienced B2B Marketing & Growth Leader

I head up Marketing at Neurons Lab, a leading AI consultancy that delivers transformation services to guide enterprises into the new era of AI. We have successfully delivered tailored AI solutions to over 100 clients, including Fortune 500 companies and government organizations. 

As Head of Marketing, I'm responsible for Global Demand Generation Strategy, Brand Strategy, Partnership Marketing including AWS, and, Marketing Team Management. 

Reach out to join us in the new era of AI.

Euphemia Smith

Your next customer won’t scroll. It will interpret 🤖 

As AI agents increasingly handle discovery, evaluation, and decision-making, marketing is shifting from capturing human attention to influencing algorithms. 

Visibility will be earned through structured data, interoperable systems, and signals of trust — not just creative or channel mix.

For CMOs, this reframes the role of marketing. Brand isn’t what you say; it’s what machines can verify. Governance, clarity, and consistency across your digital footprint become growth levers, not back-office concerns.

The teams that win won’t just optimize for audiences. They’ll design for agents — and shape how their brand is interpreted, ranked, and recommended by AI.

Co-Founder & CTO @ Neurons Lab | AI Transformation for Banks & Asset Managers - From Executive Alignment to Live Deployment

Your Next Customer Is an Algorithm

By 2026, AI agents will handle hundreds to thousands of times more web activity than humans. 

The platform shift is here:
- 50+ enterprises backing agent communication standards
- J&J and Moody's running dozens of production agents
- Alphabet and Meta's $500B ad empire now targeting "agent attention"

Three Realities for FSI

1. Protocols are the new portals. Agents don't navigate - they negotiate. Anthropic's MCP and Google's A2A are becoming the TCP/IP of the agent economy

2. Your API gateway is your brand. Trust = audit trails + permission boundaries + defenses against prompt injection. Security is your marketing now.

3. Agent attention > human attention. Marketers will pitch algorithms, not people.

The Playbook

Expose capabilities through MCP-compliant interfaces. Build governance you can prove. Design for orchestrated agents - your research agent calling a compliance agent calling a regulatory knowledge graph.

Your infrastructure is either agent-ready or agent-invisible.
Your move.

via Economist's "The next version of the web will be built for machines, not humans"

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