Dylan S.

Senior Data Analyst & Data Engineer

Full BI & Data vertical, from raw source extraction to agentic AI. I run the entire system: ingestion, modeling, warehousing, visualization, deployment, and AI implementation. Zero handoff gaps. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐚𝐧𝐝 𝐍𝐢𝐜𝐡𝐞𝐬 𝐈 𝐜𝐨𝐦𝐦𝐨𝐧𝐥𝐲 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡: 󠁯•󠁏󠁏 Marketing Agencies 󠁯•󠁏󠁏 Sales Development Teams (B2B & B2C) 󠁯•󠁏󠁏 E-Commerce 󠁯•󠁏󠁏 Healthcare 󠁯•󠁏󠁏 Blue-collar Services and more... 𝐌𝐨𝐬𝐭 𝐟𝐫𝐞𝐪𝐮𝐞𝐧𝐭 𝐩𝐚𝐢𝐧 𝐩𝐨𝐢𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐈 𝐫𝐞𝐬𝐨𝐥𝐯𝐞: 󠁯•󠁏󠁏 Reduction and Elimination of AI and Agent Hallucinations: Automation via deterministic systems built only once, where necessary and optimal, to prevent AI from reinventing the wheel with each query. Structured, semi-structured, RAG, and other Knowledge banks or Memory systems are implemented. 󠁯•󠁏󠁏 Data Activation: relevant knowledge, alerts, and suggested actions via API, webhooks, or MCP to relevant people, departments, or agents for timely execution (e.g., the BI system detects highly concerning behavior from a large customer; timely notifications are sent to the CEO, COO, Head of Customer Success, and Head of Sales, etc.) 󠁯•󠁏󠁏 Cleaning, organizing, and centralizing data sources into One Data Warehouse: CSVs, Excels, Cloud Documents, CRM, Accounting and Financial Systems, Project Management Tools, Social Media, Advertising and Marketing Platforms, Web Scraping, APIs, etc. 󠁯•󠁏󠁏 Collection, Standardization and Documentation of Business Rules, Business Context, Operational Definitions, Priorities and Objectives, Ambiguity Management 󠁯•󠁏󠁏 BI and Data Infrastructure Development from Scratch: Infrastructure planning and design, vendor selection, Data pipeline setup, data modeling, AI integrations, dashboards, and applications 󠁯•󠁏󠁏 Optimization, Updating, Repairing, Recovery, and Maintaining Existing BI and Data Infrastructure; Resolving issues with downed Power BI dashboards (or any BI tool: Looker, Metabase, Superset, etc.), broken ETL pipelines and loss connections, slow data models, and unintuitive visualizations and designs 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 󠁯•󠁏󠁏 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Superset, Domo 󠁯•󠁏󠁏 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel 󠁯•󠁏󠁏 Warehousing: BigQuery, Snowflake, Cloud SQL, Cloud Storage, SQL Server, MySQL, Postgress, SQL Server, Amazon Redshift, Amazon S3 󠁯•󠁏󠁏 Automation & Integration: Make, n8n, Apps Script, Claude Run, 󠁯•󠁏󠁏 Pipelines & ETL: Fivetran, Supermetrics, Windsor AI, Coupler AI, Airbyte 󠁯•󠁏󠁏 Cloud & Governance: Google Cloud Platform, AWS, Azure, Terraform, Git 󠁯•󠁏󠁏 AI Agents and Orchestation: Claude Code, GPT Codex, Grok, Gemini, Kimi 󠁯•󠁏󠁏 Other Languages: Java Script, HTML, CSS 𝐋𝐞𝐭'𝐬 𝐁𝐮𝐢𝐥𝐝 𝐘𝐨𝐮𝐫 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 I make sure every byte moves, transforms, lands, and speaks, without friction, without hallucinations, and without AI needing to re-invent the wheel.