Serhii Y.

I build marketing data platforms that connect website events, advertising and CRM data — from tracking implementation to data pipelines, warehouse models and reporting for business decisions. My background is in web analytics. I work across the full cycle: defining what needs to be measured, setting up data collection, connecting sources and building the datasets, metrics and reports needed for deeper analysis. I help agencies and growing businesses when: • Website events do not capture the detail needed to analyse the customer journey. • Advertising, analytics and CRM data remain disconnected. • Reports depend on manual exports and spreadsheets. • Different tools produce conflicting numbers. WHAT I CAN HELP WITH Tracking and measurement • Translate business questions into event specifications, parameters and conversion definitions. • Configure and troubleshoot GA4 and Google Tag Manager. • Validate data collection and investigate gaps across websites and conversion journeys. Marketing data pipelines • Connect advertising platforms, analytics systems, CRMs and spreadsheets through APIs. • Build scheduled ETL/ELT pipelines with Python and SQL. • Bring data into BigQuery or PostgreSQL, with checks and failure alerts suited to the workflow. Data models and reporting • Build reporting-ready datasets and transformations with Dataform or dbt. • Connect marketing activity with leads and CRM outcomes. • Create Looker Studio reports for analysing funnels, conversions and marketing performance. • Document metric definitions, workflows and handover instructions. RELEVANT WORK • Agency reporting automation: replaced a recurring export chain with scheduled BigQuery processing. The agency estimated that the previous manual process took about a week each month. • End-to-end real estate analytics: connected CRM outcomes, advertising sources and tracking across 10 websites in BigQuery and Looker Studio. • E-commerce tracking: maintained tracking across three domains and 13 advertising and affiliate platforms. • Clickstream data pipeline: built a Python → PostgreSQL → dbt workflow for a mobile operator, with date-range reprocessing, run locking and failure alerts. HOW WE START We start with the business question and your current setup, then agree on the required data, outputs, scope and milestones. A reporting workflow review starts at $500 and is credited towards implementation. It covers one reporting flow, discrepancies, connector costs and a written implementation plan. Send me what you need to measure or understand, the systems involved and where the current process falls short.