Alex L.

Data & BI Engineer | Analytics Infrastructure, Dashboards, Automation

I help companies turn scattered data into analytics systems that teams can actually rely on — from modern dashboards and reporting layers to scalable data infrastructure and operational analytics. Over the past 5+ years, I’ve worked across SaaS, E-commerce, Finance, and Operations, helping companies build: • self-service analytics • executive reporting • ETL pipelines • anomaly detection systems • data warehouses • and scalable BI environments My focus is not just visualization — it’s building analytics ecosystems that make data easier to trust, easier to maintain, and genuinely useful for decision-making. ❤️ The part I care about most? Connecting clean infrastructure with actionable reporting. A dashboard is only useful when the underlying data model, business logic, and pipelines are reliable. What I usually help with: • Data analytics & business intelligence • Tableau, Power BI, Looker, Metabase, Microsoft Fabric • Data warehouse design & analytics architecture • ETL/ELT pipelines and reporting automation • KPI systems and operational reporting • Product, finance, and revenue analytics • Self-service analytics environments • Data quality validation and anomaly detection • Dashboard redesigns and reporting optimization Tools & Technologies: • SQL, Python • Snowflake, BigQuery, PostgreSQL • dbt, Airflow, Fivetran • Tableau, Power BI, Looker Studio • APIs, cloud data platforms, automation workflows A few things I’m proud of: • Built analytics systems used daily by 5000+ users • Worked with datasets from thousands to billions of rows • Automated reporting workflows saving teams 20+ hours weekly • Designed reporting layers and data platforms for fast-growing SaaS and E-commerce companies • Led BI migrations and large reporting restructuring projects I enjoy projects where analytics needs to scale properly — whether that means redesigning reporting architecture, cleaning up unreliable dashboards, improving data quality, or building a modern BI stack from scratch. Good analytics should not just “look nice.” It should help teams move faster, reduce operational chaos, and make decisions with confidence. Data never lies.