Dmitrii Vasichev
Data & BI Engineer | SQL • ETL • BI • Automation
Data & BI Engineer with 10+ years of experience in SQL, ETL, data modeling, data warehousing, reporting automation, and business intelligence. I build reliable data pipelines, analytics platforms, and workflow automation solutions, using AI-assisted development to accelerate implementation.
Selected Projects
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Denver Urban Pulse
Data Pipeline & BI Analytics Platform
Automated analytics platform using data from 4 public APIs, a PostgreSQL raw → staging → marts architecture, Python ETL, interactive maps, heatmaps, KPI trends, and centralized filtering. Data is refreshed on a scheduled batch pipeline, with source freshness shown in the dashboard.
Medical Education Operations & Analytics Platform
Operations Analytics & Workflow Automation for a 20-Person Team
Integrated operations, analytics, and workflow automation platform for a 20-person medical education team. It combines task workflows, Zoom meeting processing, GetCourse KPI reporting, Telegram monitoring, AI-generated summaries, scheduled communications, and role-based access.
Personal Data & Automation Hub
Unified Personal Data & Workflow Automation Platform
Unified data and automation environment integrating task management, job-search data, Google Calendar, Google Drive, Telegram, and Garmin Connect. It combines automated data collection, cross-system workflows, dashboards, and AI-generated daily summaries.
About
Data & BI Engineer with 10+ years of hands-on experience across SQL, ETL, data warehousing, data modeling, reporting automation, and business intelligence. My background includes 100+ production SQL queries and stored procedures, 35+ BI reports and dashboards, and analytical datasets with 500M+ records across Oracle, Teradata, and PostgreSQL. My main BI tools are Tableau and Power BI.
More recently, I’ve been applying this data engineering foundation to workflow automation, API integrations, and AI-assisted development. I use Claude Code, Codex, n8n, and LLM APIs to accelerate implementation while focusing on data architecture, business logic, validation, reliability, and practical operational value.
Currently based in Denver, CO. Authorized to work in the U.S. without sponsorship. Open to full-time and contract opportunities, including remote and relocation.