Juan Andres B.

Most companies don't have an AI problem or a dashboard problem. They have a data foundation problem: scattered sources, numbers nobody trusts, and no structure an application (or an LLM) can reliably build on. That's what I fix. I'm a senior data engineer with 6+ years building data platforms end to end. I help companies create or reorganize their data so it's ready for whatever sits on top: executive dashboards, internal apps, AI agents or chatbots. ⚙️ What I do • Data architecture: I start from how your business works, not from the tools. I design one source of truth that removes duplicated logic and conflicting reports, and gives AI a foundation it can actually rely on. • Data warehouses and lakehouses: BigQuery, Databricks, Snowflake. Medallion architectures (bronze, silver, gold), modeling in dbt and Dataform, version control and CI/CD. Mostly on Google Cloud, with hands-on experience on AWS and Azure as well. • Pipelines and integrations: Airflow, Airbyte, and custom Python connectors on Cloud Run. I've integrated everything from ERPs like SAP to ad platforms, CRMs and ecommerce (Meta Ads, Google Ads, GoHighLevel, HubSpot, Salesforce, Shopify, Klaviyo). • AI on top of your data: semantic layers and documented metadata so LLMs and agents query the right tables instead of guessing. I've built a RAG chatbot on structured data and data apps in Databricks. • Dashboards and data apps: Looker Studio, Power BI, Tableau and Metabase, plus internal tools built around specific user needs. 📈 Results • Designed data warehouses that process several billion events per day. • Architected a multi-tenant marketing data platform: 5 agencies, each with 15+ clients and 5+ sources per client, all coordinated from a single codebase and pipeline layer. • Helped build a gaming lakehouse (Python, Databricks, Airflow) serving 10 global studios, cutting processing time and cost by over 60%. • ETL, automation and dashboards for 30+ businesses. Top Rated Plus, 100% Job Success. Industries: marketing agencies and ecommerce/DTC, mobile gaming, retail, finance. If you're planning an AI feature, an internal app or a new reporting layer and aren't sure your data can support it, let's talk. A 15-minute call is usually enough to tell where you stand.