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.
Alex L. earns an estimated $21k/mo. That's 13.7× the typical freelancer and more than 99.98% of everyone we track.
Data never lies.