Bartosz Gajda
Solutions Architect @Lingaro
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WORK HISTORY
Solutions Architect @Lingaro
Warsaw, PL
Leading architecture, design and delivery of enterprise-scale platform capabilities for Coca-Cola HBC\'s Databricks-centric Data Platform.→ Advocated and provided first adoption for ADBC (Arrow Database Connectivity) — designed the initial PowerBI connector leveraging Apache Arrow Flight protocol and inspired senior management to rely on ADBC for long-term platform connectivity strategy.→ Designed and developed an AI-first Data Engineering framework for leveraging Claude Code in daily engineering work — identified key development bottlenecks, built an ecosystem of tooling (Context Engineering, Prompt Engineering, MCPs, Skills) to maximize agent accuracy, and drove adoption across Data Engineering teams.→ Co-designed and delivered enterprise-wide SAP Business Data Cloud integration with the Data Platform using Delta Sharing protocol — implemented bi-directional connectivity, integrated Delta Shared catalogs into Unity Catalog architecture, showcased the operational benefits, and consulted on long-term strategy to key stakeholders.→ Envisioned, designed and delivered a full Databricks Apps ecosystem — built repository structure, app templates (Streamlit, Dash, Gradio), AI-native development flow with MCP and Skills, CI/CD using ADO Pipelines and Databricks Asset Bundles, local dev environment, and OLTP capabilities with Lakebase — enabling full-stack data app development without heavy Azure infrastructure.
EDUCATION
Queen Mary University of London
Master of Science - MSc, Big Data Science
Glasgow Caledonian University
Bachelor’s Degree, Computer Science
SKILLS
ABOUT BARTOSZ GAJDA
Data Platform Architect and Databricks Champion with 8+ years of experience in data engineering, including designing, building and scaling enterprise data platforms on Azure and Databricks. I specialize in building enterprise Data Lakehouse, Data Mesh and Data Lake platforms, designing full Data Governance and Security frameworks, delivering Streaming and Batch processing systems, and architecting cross-platform integrations at scale.Throughout my career I have delivered 20+ enterprise-scale data solutions end-to-end — spanning platform migrations, security frameworks, streaming systems, consumption layers, AI-powered tooling and cross-platform integrations. I take full ownership from architecture and stakeholder alignment through development, deployment and developer enablement, consistently introducing capabilities that become foundational to the platforms I work on.The impact in numbers: migrated tables across 60 workspaces in 4 months · reduced data processing latency from 15 minutes to sub-seconds · cut access provisioning from 72 hours to 20 minutes · lowered compute costs by up to 80% · decreased daily data volumes from 20M to 150K rows through incremental processing · reduced platform maintenance overhead by 90% · improved unit test execution time by 50%.Core expertise: Databricks (Unity Catalog, Lakeflow, Delta Sharing, Serverless, SQL Warehouses, Apps, Liquid Clustering, CDF) · Azure (ADF, Storage, Synapse, Fabric, Entra ID) · Data Mesh Architecture · Platform Engineering · Python · PySpark · Terraform · Apache Arrow / ADBC · CI/CD (Azure DevOps) · AI/LLM Integration for Data Engineering
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