Christophe Kabacinski

Senior Data Consultant with 18+ years of experience turning complex, fragmented data ecosystems into reliable, automated and business ready solutions. I work across the full data lifecycle - from ingestion, ETL/ELT pipelines and legacy modernization to reporting, analytics, dashboards, data quality, and AI ready architectures.

I combine data engineering (Python, SQL, SAS, ETL, automation, migration) with strong data analytics capabilities: exploratory analysis, KPI design, dashboarding, business insights, and decision support models. My approach is both technical and analytical, ensuring that data pipelines directly serve measurable business outcomes.

Former SAS Institute consultant, trainer, and university guest lecturer in SQL, SAS and automation, I bring hands on delivery, pedagogy, and strong communication skills to every engagement.

I have delivered 30+ projects across insurance, banking, energy, public sector and analytics environments, working both independently and within cross functional teams.

Core Expertise:

Data Engineering -- Design and build robust ETL/ELT pipelines, high‑volume ingestion processes, workflow automation, orchestration frameworks, and performance‑optimized data flows.

Modernisation & Migration -- Modernize legacy environments through SAS→Python migration, workflow refactoring, microservices architecture, API development, and containerized deployments.

Data Modeling & Quality -- Develop logical data models, DDL structures, data lineage, automated quality controls, and fully documented, production‑ready data assets.

Analytics & Insights-- Deliver KPI frameworks, dashboards, exploratory analytics, decision‑support insights, and automated reporting pipelines aligned with business objectives.

Collaboration & Delivery -- Lead business workshops, translate functional needs into technical specifications, coach SAS/SQL teams, and ensure effective knowledge transfer across stakeholders.